{ "name": "LinkedIn_Job_Hunt_and_Cover_Letter", "nodes": [ { "parameters": { "content": "## \u81ea\u52a8\u5316\u6c42\u804c\u52a9\u624b\uff08LinkedIn + Indeed\uff09\uff1a\u901a\u8fc7\u90ae\u4ef6\u83b7\u53d6\u6700\u4f73\u804c\u4f4d\u5339\u914d + \u751f\u6210\u6c42\u804c\u4fe1 + \u4fdd\u5b58\u5230Notion\n\n**\u4f5c\u8005**: Wen\n**Email\u5730\u5740**: wenjiaqi8255@outlook.com\n\n**\u63cf\u8ff0**: \n\u6b64n8n\u5de5\u4f5c\u6d41\u7a0b\u65e8\u5728\u81ea\u52a8\u5316\u5bfb\u627e\u548c\u63a8\u9001\u6700\u4f73\u804c\u4f4d\u63a8\u8350\u7684\u8fc7\u7a0b\u3002\u5b83\u4f1a\u83b7\u53d6\u60a8\u7684\u7b80\u5386\uff0c\u4eceLinkedIn\u548cIndeed\u6293\u53d6\u804c\u4f4d\u5217\u8868\uff0c\u4f7f\u7528AI\uff08Google Gemini\uff09\u5c06\u804c\u4f4d\u4e0e\u60a8\u7684\u7b80\u5386\u8fdb\u884c\u5339\u914d\uff0c\u7136\u540e\u901a\u8fc7\u7535\u5b50\u90ae\u4ef6\u53d1\u9001\u6700\u4f73\u804c\u4f4d\u63a8\u8350\u7ed9\u60a8\u3002\u8be5\u5de5\u4f5c\u6d41\u7a0b\u6309\u8ba1\u5212\u81ea\u52a8\u8fd0\u884c\u3002\n\n**\u6838\u5fc3\u529f\u80fd**:\n- \u7b80\u5386\u4e0e\u804c\u4f4d\u81ea\u52a8\u5339\u914d\n- \u4e2a\u6027\u5316\u6c42\u804c\u4fe1\u751f\u6210\n- \u5b9a\u65f6\u90ae\u4ef6\u63a8\u9001\u9ad8\u5339\u914d\u5ea6\u804c\u4f4d\n- Notion\u4e00\u4f53\u5316\u804c\u4f4d\u7ba1\u7406\n- \u591a\u5e73\u53f0\u804c\u4f4d\u6570\u636e\u6c47\u603b\uff08LinkedIn, Indeed\uff09\n\n**Credit**: Tianyi tianyi.datascience@gmail.com", "height": 820, "width": 640, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -2460, -600 ], "id": "bcd6de88-108f-4743-875d-af3fd117ca4e", "name": "Sticky Note" }, { "parameters": { "rule": { "interval": [ { "triggerAtHour": 8 } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -2380, 580 ], "id": "1eba2d78-167b-43d8-9260-5ebe1fa59016", "name": "Schedule Trigger" }, { "parameters": { "assignments": { "assignments": [ { "id": "a08ebfd2-be88-4870-9f83-9430eda33d56", "name": "Resume", "value": "={{ $json.text }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1040, 580 ], "id": "5dbb0ffa-7d5c-49ef-843e-32626bbd5f86", "name": "SetResumeField" }, { "parameters": { "schemaType": "manual", "inputSchema": "{\n \"database_id\": 1,\n \"Company Name\": \"Innovatech Solutions\",\n \"Job Title\": \"Senior Software Engineer\",\n \"Industry\": \"Technology / SaaS\",\n \"Reason for Match\": \"Strong alignment with your 7 years of backend development experience (Java/Spring) listed in CV and your preference for mid-sized tech companies.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/1234567890\",\n \"Location\": \"San Francisco, CA\",\n \"Flexibility\": \"Hybrid\",\n \"Salary Range\": \"$120,000 - $150,000\"\n}" }, "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "typeVersion": 1.2, "position": [ 2960, 680 ], "id": "d2f5bddf-9623-44b1-85d3-9873935b3768", "name": "Structured Output Parser" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "typeVersion": 1, "position": [ 2740, 460 ], "id": "d5aefbc3-cbc1-4e80-b1e7-2adaa2b51c17", "name": "Auto-fixing Output Parser" }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "1Sk87acRe343xHRCzjffoLmuq1oAaI1Zt", "mode": "list", "cachedResultName": "your_cv.pdf", "cachedResultUrl": "https://drive.google.com/file/d/your_cv.pdf/view?usp=sharing" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ -1500, 580 ], "id": "0b7b87e5-101d-472f-a709-19e3a33d43db", "name": "DownloadResume", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "pdf", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ -1280, 580 ], "id": "09873953-c590-48c9-8604-da1ab5736ae4", "name": "Extract Information from Resume PDF" }, { "parameters": { "promptType": "=define", "text": "=You are an expert AI assistant specializing in career matching and job recommendation.\n\nYour Goal:\nYour primary task is to analyze a provided dataset of 100 LinkedIn job descriptions , a user's Curriculum Vitae (CV) provided as a string, and the user's job preferences is also provided as a string. Based on this analysis, you must identify and select the top 5 most suitable job opportunities for the user from the provided list.\n\nInputs You Will Receive:\n\njob_descriptions {{ $('stringify_json').item.json.stringified }}: A collection containing 100 job descriptions scraped from LinkedIn. Each job has the following structure:\n{\n \"id\": [database ID],\n \"company_name\": [company name],\n \"job_title\": [job title],\n \"industry\": [industry],\n \"application_url\": [URL],\n \"location\": [job location],\n \"flexibility\": [work arrangement],\n \"salary_range\": [salary if available],\n \"created_at\": [timestamp]\n}\nuser_cv {{ $('SetResumeField').first().json.Resume }}: A single string containing the user's full CV text.\nuser_preferences {{ $('Input').first().json.Preference }}: A single string outlining the user's job preferences (e.g., desired roles, industries, company size, location constraints, salary expectations, work culture).\n\nYour Task Breakdown:\n\nAnalyze: Meticulously parse and understand the content of the user_cv and user_preferences.\nEvaluate: For each of the 100 job_descriptions:\nExtract key information: Company Name, Job Title, Industry (if explicitly mentioned or inferable), and Application URL.\nCompare the job's requirements, responsibilities, and company details against the user's skills, experience (from user_cv), and stated desires (from user_preferences).\nRank: Assess the suitability of each job for the user based on the comparison. Create a ranked list of all 100 jobs from most to least suitable.\nSelect: Choose the top {{ $('Input').first().json.RecommendedJobCount || 8 }} from your ranked list.\nFormat Output: Prepare the final output containing detailed information for only these 8 selected jobs.\n\nOutput Requirements:\n\nYou must return a structured list containing exactly 8 job recommendations. For each of the 8 jobs, provide the following specific details:\n\ndatabase_id: The \"id\" field from the job record.\nCompany Name: The name of the hiring company from \"company_name\".\nJob Title: The official title of the position from \"job_title\".\nIndustry: The industry sector from \"industry\" (if available).\nReason for Match: A brief (1-2 sentences) explanation justifying why this specific job is a strong match for the user. This explanation should explicitly reference alignment between the user's CV/preferences and the job description.\nApplication URL: The direct URL to apply from \"application_url\". If the apply URL is not found or empty, return the linkedin link for this job.\nLocation: The job location from \"location\".\nFlexibility: Work arrangement type from \"flexibility\".\nSalary Range: Salary information from \"salary_range\" if available, otherwise \"Not specified\".\n\nOutput format Example:\n[\n {\n \"database_id\": 1,\n \"Company Name\": \"Innovatech Solutions\",\n \"Job Title\": \"Senior Software Engineer\",\n \"Industry\": \"Technology / SaaS\",\n \"Reason for Match\": \"Strong alignment with your 7 years of backend development experience (Java/Spring) listed in CV and your preference for mid-sized tech companies.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/1234567890\",\n \"Location\": \"San Francisco, CA\",\n \"Flexibility\": \"Hybrid\",\n \"Salary Range\": \"$120,000 - $150,000\"\n },\n {\n \"database_id\": 2,\n \"Company Name\": \"FinSecure Corp\",\n \"Job Title\": \"Data Scientist\",\n \"Industry\": \"Financial Services\",\n \"Reason for Match\": \"Matches your PhD in Statistics, experience with machine learning models detailed in your CV, and stated interest in the Fintech sector.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/0987654321\",\n \"Location\": \"New York, NY\",\n \"Flexibility\": \"On-site\",\n \"Salary Range\": \"$110,000 - $130,000\"\n },\n {\n \"database_id\": 3,\n \"Company Name\": \"Global Health Initiative\",\n \"Job Title\": \"Biostatistician\",\n \"Industry\": \"Healthcare / Research\",\n \"Reason for Match\": \"Aligns with your strong statistical background and published research in healthcare outcomes mentioned in your CV.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/5678901234\",\n \"Location\": \"Boston, MA\",\n \"Flexibility\": \"Hybrid\",\n \"Salary Range\": \"Not specified\"\n },\n {\n \"database_id\": 4,\n \"Company Name\": \"EcoSolutions\",\n \"Job Title\": \"Sustainability Analyst\",\n \"Industry\": \"Environmental Services\",\n \"Reason for Match\": \"Matches your environmental science background and stated preference for working in sustainability-focused organizations.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/2345678901\",\n \"Location\": \"Portland, OR\",\n \"Flexibility\": \"Remote\",\n \"Salary Range\": \"$85,000 - $95,000\"\n },\n {\n \"database_id\": 5,\n \"Company Name\": \"TechStart Accelerator\",\n \"Job Title\": \"Technology Consultant\",\n \"Industry\": \"Consulting\",\n \"Reason for Match\": \"Aligns with your technical advisory experience and preference for varied project work mentioned in your preferences.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/3456789012\",\n \"Location\": \"Austin, TX\",\n \"Flexibility\": \"Hybrid\",\n \"Salary Range\": \"$100,000 - $120,000\"\n },\n {\n \"database_id\": 6,\n \"Company Name\": \"TechStart Accelerator\",\n \"Job Title\": \"Technology Consultant\",\n \"Industry\": \"Consulting\",\n \"Reason for Match\": \"Aligns with your technical advisory experience and preference for varied project work mentioned in your preferences.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/3456789012\",\n \"Location\": \"Austin, TX\",\n \"Flexibility\": \"Hybrid\",\n \"Salary Range\": \"$100,000 - $120,000\"\n },\n {\n \"database_id\": 7,\n \"Company Name\": \"TechStart Accelerator\",\n \"Job Title\": \"Technology Consultant\",\n \"Industry\": \"Consulting\",\n \"Reason for Match\": \"Aligns with your technical advisory experience and preference for varied project work mentioned in your preferences.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/3456789012\",\n \"Location\": \"Austin, TX\",\n \"Flexibility\": \"Hybrid\",\n \"Salary Range\": \"$100,000 - $120,000\"\n },\n {\n \"database_id\": 8,\n \"Company Name\": \"TechStart Accelerator\",\n \"Job Title\": \"Technology Consultant\",\n \"Industry\": \"Consulting\",\n \"Reason for Match\": \"Aligns with your technical advisory experience and preference for varied project work mentioned in your preferences.\",\n \"Application URL\": \"https://linkedin.com/jobs/view/3456789012\",\n \"Location\": \"Austin, TX\",\n \"Flexibility\": \"Hybrid\",\n \"Salary Range\": \"$100,000 - $120,000\"\n }\n]", "hasOutputParser": true, "options": {} }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 1.8, "position": [ 2620, 220 ], "id": "c76cea73-18b0-42fa-a3ab-550a4e2bfc5d", "name": "AI Agent: Find Best-matched jobs", "retryOnFail": true, "executeOnce": true }, { "parameters": { "sendTo": "={{ $('Input').first().json.EmailAddressToReceiveJobRecommendations}}", "subject": "=Best-Matched Jobs - {{ $now.format('yyyy-MM-dd') }} ", "message": "={{$input.item.json.html}}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 4040, 560 ], "id": "040a2699-d850-4238-8b3b-00a7f2e5ce75", "name": "Email the top job recommendations", "credentials": { "gmailOAuth2": { "name": "" } } }, { "parameters": { "content": "### Schedule Trigger\n\u6b64\u8282\u70b9\u89e6\u53d1\u5de5\u4f5c\u6d41\u7a0b\u6309\u6307\u5b9a\u65f6\u95f4\u81ea\u52a8\u8fd0\u884c\u3002\u9ed8\u8ba4\u8bbe\u7f6e\u4e3a\u6bcf\u5929\u65e9\u4e0a8:00\u89e6\u53d1\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u8c03\u6574\u65f6\u95f4\u9891\u7387\u3002\n\u6ce8\uff1a\u5728n8n Settings\u91cc\u53ef\u8bbe\u7f6e\u65f6\u533a", "height": 640, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -2460, 280 ], "id": "4258d07a-938b-4a6b-ac7f-2bbc0d070d6c", "name": "Sticky Note1" }, { "parameters": { "content": "### Input\n**\u5173\u952e\u914d\u7f6e\u8282\u70b9**\n\u8fd9\u91cc\u8bbe\u7f6e\u4e86\u6574\u4e2a\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u4f7f\u7528\u7684\u91cd\u8981\u53d8\u91cf\uff1a\n- **ApifyAPIKey**: \u7528\u4e8e\u8bbf\u95eeApify\u670d\u52a1\u7684API\u5bc6\u94a5\n- **Preference**: \u60a8\u7684\u6c42\u804c\u504f\u597d\uff0c\u5f71\u54cdAI\u5339\u914d\u7ed3\u679c\n- **EmailAddressToReceiveJobRecommendations**: \u63a5\u6536\u804c\u4f4d\u63a8\u8350\u7684\u90ae\u7bb1\n- **recommendedJobCount**: \u6bcf\u6b21\u63a8\u8350\u7684\u804c\u4f4d\u6570\u91cf\n- **first_timeout**: \u9996\u6b21API\u8bf7\u6c42\u8d85\u65f6\u65f6\u95f4\uff08\u79d2\uff09\n- **request_interval**: \u91cd\u8bd5\u8bf7\u6c42\u95f4\u9694\u65f6\u95f4\uff08\u79d2\uff09", "height": 640, "width": 500, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -2160, 280 ], "id": "b1622b06-9a1b-4e68-8947-4df119793d9b", "name": "Sticky Note2" }, { "parameters": { "content": "### DownloadResume\n\u4eceGoogle Drive\u4e0b\u8f7d\u60a8\u7684\u7b80\u5386PDF\u6587\u4ef6\u3002\u8bf7\u786e\u4fdd\u4e0a\u4f20\u60a8\u7684\u7b80\u5386\u5230Google Drive\u5e76\u83b7\u53d6\u6587\u4ef6ID\u3002\n\n### Extract Information from Resume PDF\n\u63d0\u53d6\u7b80\u5386PDF\u4e2d\u7684\u6587\u672c\u5185\u5bb9\uff0c\u4e3a\u540e\u7eedAI\u5339\u914d\u505a\u51c6\u5907\u3002\n\n### SetResumeField\n\u5c06\u63d0\u53d6\u7684\u7b80\u5386\u6587\u672c\u8bbe\u7f6e\u4e3a\u53d8\u91cf\uff0c\u4ee5\u4fbf\u5728\u5de5\u4f5c\u6d41\u7a0b\u7684\u540e\u7eed\u6b65\u9aa4\u4e2d\u4f7f\u7528\u3002", "height": 640, "width": 740 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -1600, 280 ], "id": "08001c75-b495-4ad1-bc8b-f8cd8875dbf1", "name": "Sticky Note3" }, { "parameters": { "content": "### start_apify_run_linkedin\n\u542f\u52a8Apify\u722c\u866b\uff0c\u6293\u53d6LinkedIn\u4e0a\u7684\u804c\u4f4d\u4fe1\u606f\u3002\n\u786e\u4fdd\u5728jsonBody\u4e2d\u8bbe\u7f6e\u6b63\u786e\u7684\u641c\u7d22URL\u548c\u53c2\u6570\u3002\n\n### Check Run Status / Get Dataset Items\n\u8fd9\u4e9b\u8282\u70b9\u68c0\u67e5\u722c\u866b\u8fd0\u884c\u72b6\u6001\u5e76\u83b7\u53d6\u7ed3\u679c\u6570\u636e\u3002\n\u5305\u542b\u9519\u8bef\u5904\u7406\u548c\u91cd\u8bd5\u673a\u5236\uff0c\u786e\u4fdd\u53ef\u9760\u83b7\u53d6\u804c\u4f4d\u4fe1\u606f\u3002\n", "height": 640, "width": 1280, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -800, 280 ], "id": "27bf44a1-cbb7-4c10-b991-ca1b67582d25", "name": "Sticky Note6" }, { "parameters": { "content": "\n### Merge\n\u5408\u5e76\u6765\u81eaLinkedIn\u548cIndeed\u7684\u804c\u4f4d\u6570\u636e\uff0c\u521b\u5efa\u7edf\u4e00\u7684\u804c\u4f4d\u5217\u8868\u3002", "height": 640, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 840, 280 ], "id": "5c9525bd-3d5c-422e-b432-df6a5365f24b", "name": "Sticky Note7" }, { "parameters": { "content": "### AI Agent: Find Best-matched jobs\n**\u6838\u5fc3\u5339\u914d\u8282\u70b9**\n\n**\u8f93\u5165**:\n- **scraped_job_data**: \u4eceLinkedIn\u548cIndeed\u6293\u53d6\u7684\u6240\u6709\u804c\u4f4d\u4fe1\u606f\n- **user_cv**: \u7528\u6237\u7b80\u5386\u6587\u672c\uff08\u4ecePDF\u63d0\u53d6\uff09\n- **user_preferences**: \u7528\u6237\u7684\u6c42\u804c\u504f\u597d\u8bbe\u7f6e\uff08\u5982\u5730\u70b9\u3001\u884c\u4e1a\u3001\u85aa\u8d44\u671f\u671b\u7b49\uff09\n- **recommendedJobCount**: \u9700\u8981\u5339\u914d\u7684\u804c\u4f4d\u6570\u91cf\n\n**\u8f93\u51fa**:\n\u7ed3\u6784\u5316\u5217\u8868\uff0c\u5305\u542b\u63a8\u8350\u804c\u4f4d\u7684\u8be6\u7ec6\u4fe1\u606f\uff1a\n- **database_id**: \u804c\u4f4d\u8bb0\u5f55ID\n- **Company Name**: \u62db\u8058\u516c\u53f8\u540d\u79f0\n- **Job Title**: \u804c\u4f4d\u540d\u79f0\n- **Industry**: \u884c\u4e1a\u9886\u57df\n- **Reason for Match**: \u5339\u914d\u539f\u56e0\u8bf4\u660e\uff081-2\u53e5\u8bdd\u8bf4\u660e\u4e3a\u4f55\u6b64\u804c\u4f4d\u4e0e\u7528\u6237\u5339\u914d\uff09\n- **Application URL**: \u7533\u8bf7\u94fe\u63a5\n- **Location**: \u5de5\u4f5c\u5730\u70b9\n- **Flexibility**: \u5de5\u4f5c\u5b89\u6392\u65b9\u5f0f\uff08\u8fdc\u7a0b\u3001\u6df7\u5408\u3001\u73b0\u573a\u7b49\uff09\n- **Salary Range**: \u85aa\u8d44\u8303\u56f4\uff08\u5982\u6709\uff09", "height": 1200, "width": 580, "color": 6 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 2500, -280 ], "id": "8a4d335c-a196-4333-8fa9-9e8281f77a8a", "name": "Sticky Note9" }, { "parameters": { "content": "### Email the top job recommendations\n\u5c06\u6700\u4f73\u5339\u914d\u7684\u804c\u4f4d\u901a\u8fc7\u7535\u5b50\u90ae\u4ef6\u53d1\u9001\u7ed9\u60a8\uff0c\u90ae\u4ef6\u5305\u542b\u804c\u4f4d\u6807\u9898\u3001\u516c\u53f8\u3001\u5730\u70b9\u3001\u85aa\u8d44\u548c\u7533\u8bf7\u94fe\u63a5\u7b49\u4fe1\u606f\u3002", "height": 620, "color": 2 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 3980, 300 ], "id": "04c1ad11-ce69-4cbc-b8dc-facda79487e2", "name": "Sticky Note10" }, { "parameters": { "content": "## \u5de5\u4f5c\u6d41\u7a0b\u8bbe\u7f6e\u6307\u5357\n### \u8bf7\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u8bbe\u7f6e\u5de5\u4f5c\u6d41\u7a0b\uff1a\n\n### 1. \u914d\u7f6e\u8f93\u5165\u8282\u70b9\uff1a\n\u6253\u5f00\u5de5\u4f5c\u6d41\u4e2d\u7684\"Input\"\u8282\u70b9\u3002\n\u586b\u5199\u5fc5\u586b\u5b57\u6bb5\uff1a\n- **ApifyAPIKey**: \u8f93\u5165\u60a8\u7684Apify API\u5bc6\u94a5\uff08\u767b\u5f55Apify: https://www.apify.com?fpr=oljm1 -> \u8bbe\u7f6e -> API & Integration\uff09\n- **Preference**: \u6307\u5b9a\u60a8\u7684\u6c42\u804c\u504f\u597d\uff08\u5982\"\u65e0\u5fb7\u8bed\u8981\u6c42\uff0c\u9ad8\u85aa\"\uff09\n- **EmailAddressToReceiveJobRecommendations**: \u63d0\u4f9b\u60a8\u5e0c\u671b\u63a5\u6536\u804c\u4f4d\u63a8\u8350\u7684\u7535\u5b50\u90ae\u4ef6\u5730\u5740\n- **recommendedJobCount**: \u8bbe\u7f6e\u6bcf\u6b21\u63a8\u8350\u7684\u804c\u4f4d\u6570\u91cf\uff08\u9ed8\u8ba4\u4e3a10\uff09\n\n### 2. \u914d\u7f6eLinkedIn\u804c\u4f4d\u641c\u7d22URL\uff1a\n\n- \u5728\u6d4f\u89c8\u5668\u7684\u9690\u79c1/\u65e0\u75d5\u7a97\u53e3\u4e2d\u6253\u5f00LinkedIn Jobs\u641c\u7d22\u9875\u9762\uff1ahttps://www.linkedin.com/jobs/search/\n- \u4f7f\u7528LinkedIn\u641c\u7d22\u754c\u9762\u8bbe\u7f6e\u60a8\u9700\u8981\u7684\u7b5b\u9009\u6761\u4ef6\uff08\u5173\u952e\u8bcd\u3001\u5730\u70b9\u3001\u7ecf\u9a8c\u6c34\u5e73\u7b49\uff09\u3002**\u52a1\u5fc5\u6dfb\u52a0\"\u8fc7\u53bb24\u5c0f\u65f6\"\u7b5b\u9009\u6761\u4ef6**\n- \u590d\u5236\u6d4f\u89c8\u5668\u5730\u5740\u680f\u4e2d\u7684\u5b8c\u6574URL\n- \u6253\u5f00\u5de5\u4f5c\u6d41\u4e2d\u7684\"start_apify_run_linkedin\"\u8282\u70b9\n- \u5728\"jsonBody\"\u53c2\u6570\u4e2d\u627e\u5230\"urls\"\u6570\u7ec4\uff1a\n ```json\n \"urls\": [\n \"https://www.linkedin.com/jobs/search/...\"\n ]\n\n\u5c06\u73b0\u6709URL\uff08\"https://www.linkedin.com/jobs/search/...\"\uff09\u66ff\u6362\u4e3a\u60a8\u4ece\u9690\u79c1\u7a97\u53e3\u590d\u5236\u7684\u5b8c\u6574URL\u3002\u786e\u4fddURL\u7528\u53cc\u5f15\u53f7\u62ec\u8d77\u6765\n\n3. \u914d\u7f6eIndeed\u804c\u4f4d\u641c\u7d22\uff08\u53ef\u9009\uff09\uff1a\n\n\u7c7b\u4f3c\u5730\uff0c\u53ef\u4ee5\u5728\"start_apify_run_indeed\"\u8282\u70b9\u4e2d\u914d\u7f6eIndeed\u641c\u7d22\u53c2\u6570\n\u81ea\u5b9a\u4e49\u641c\u7d22\u5173\u952e\u8bcd\u3001\u5730\u70b9\u548c\u5176\u4ed6\u53c2\u6570\u4ee5\u7b26\u5408\u60a8\u7684\u6c42\u804c\u9700\u6c42\n\n4. \u4e0a\u4f20\u60a8\u7684\u7b80\u5386\uff1a\n\n\u5c06\u60a8\u7684\u7b80\u5386\uff08PDF\u683c\u5f0f\uff09\u4e0a\u4f20\u5230Google Drive\n\u5728\"DownloadResume\"\u8282\u70b9\u4e2d\u66f4\u65b0\u6587\u4ef6ID\u4ee5\u6307\u5411\u60a8\u7684\u7b80\u5386\n\n", "height": 820, "width": 900, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -1760, -600 ], "id": "831b9298-2b78-49db-83a0-4eaf7dcee63d", "name": "Sticky Note11" }, { "parameters": { "modelName": "models/gemini-2.0-flash", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 2600, 420 ], "id": "d83824f0-9c3d-4bd6-a448-eb8fa552b074", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "modelName": "models/gemini-2.0-flash", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 2700, 660 ], "id": "e6a594bb-5cb2-497c-a799-b37ac8c9a243", "name": "Google Gemini Chat Model1", "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "tableId": "job_listings", "fieldsUi": { "fieldValues": [ { "fieldId": "company_name", "fieldValue": "={{ $json.company_name }}" }, { "fieldId": "job_title", "fieldValue": "={{ $json.job_title }}" }, { "fieldId": "industry", "fieldValue": "={{ $json.industry }}" }, { "fieldId": "application_url", "fieldValue": "={{ $json.application_url }}" }, { "fieldId": "location", "fieldValue": "={{ $json.location }}" }, { "fieldId": "flexibility", "fieldValue": "={{ $json.flexibility }}" }, { "fieldId": "salary_range", "fieldValue": "={{ $json.salary_range }}" }, { "fieldId": "id", "fieldValue": "={{ $json.id }}" }, { "fieldId": "description", "fieldValue": "={{ $json.description.substring(0,4000) }}" } ] } }, "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 1860, 440 ], "id": "698fcc9b-0a64-4f8c-b0f4-9f2c2b0f48f3", "name": "Supabase", "credentials": { "supabaseApi": { "name": "" } } }, { "parameters": { "path": "2f32a889-c6d8-4dda-a550-71d963063aa7", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ -2900, 2220 ], "id": "d9951f93-3343-4622-be8f-27aa22489dd7", "name": "Webhook" }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "1BFLqG74itZyelxhdJrAjgHTGAJNiECeR", "mode": "list", "cachedResultName": "your_cv.pdf", "cachedResultUrl": "https://drive.google.com/file/d/your_cv.pdf/view?usp=sharing" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ -1500, 2220 ], "id": "288968e3-8d8f-49ba-95d1-c8ced682d0b5", "name": "DownloadResume1", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "get", "tableId": "job_listings", "filters": { "conditions": [ { "keyName": "id", "keyValue": "={{ $('get_job_id').item.json.jobId }}" } ] } }, "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ -2160, 2220 ], "id": "09770e2e-d7d5-4556-91f9-0eeb5d52e7d1", "name": "Supabase_get", "credentials": { "supabaseApi": { "name": "" } } }, { "parameters": { "jsCode": "// \u4eceWebhook\u8c03\u7528\u4e2d\u63d0\u53d6jobId\u53c2\u6570\nconst jobId = $('Webhook').first().json?.query?.jobId;\n\nif (!jobId) {\n return {\n json: {\n success: false,\n message: \"Missing job ID parameter. Please provide a jobId query parameter.\"\n }\n };\n}\n\nreturn {\n json: {\n success: true,\n jobId: jobId\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -2320, 2220 ], "id": "7a0b34f3-df6b-4dd9-a13a-810171ef9536", "name": "get_job_id" }, { "parameters": { "promptType": "define", "text": "=# Cover Letter Assistant\n\nYou are a professional cover letter consultant who creates authentic, targeted, and personalized cover letters. Your task is to create an effective cover letter based on a job description and resume.\n\n## Basic Information\n\nPosition: {{ $('Supabase_get').item.json.job_title }}\nCompany: {{ $('Supabase_get').item.json.company_name }}\nIndustry: {{ $('Supabase_get').item.json.industry }}\nLocation: {{ $('Supabase_get').item.json.location }}\n\nJob Description: {{ $('Supabase_get').item.json.description }}\nResume Content: {{ $json.text }}\n\n## Cover Letter Guidelines\n\n### Core Principles\n\n1. **Company-needs focused**: Start with \"how my skills solve this company's specific problems\" rather than simply listing personal achievements\n2. **Concise and direct**: Use clear, short sentences; avoid complex structures and decorative vocabulary\n3. **Authentic personality**: Show the applicant's genuine work style and personality, avoid clich\u00e9s\n4. **Targeted approach**: Address key requirements from the job description directly, not vaguely\n5. **Quality over quantity**: Prefer a few powerful examples rather than many vague accomplishments\n\n### Structure Suggestions\n\n**Opening paragraph**:\n- Briefly express why you're interested in this position\n- Mention a specific company project, value, or challenge, showing your research\n- Keep within 2-3 short sentences\n\n**Skills matching paragraphs**:\n- Focus each paragraph on one core skill or company need\n- State the company's need first, then introduce your relevant experience\n- Provide 1-2 specific examples, using data only when actually supported\n- Keep each paragraph to 3-4 short sentences\n\n**Unique value paragraph**:\n- Include a paragraph showcasing your unique advantage\n- This could be a relevant side project, special skill, or personal work approach\n- Show how this unique value benefits the company\n\n**Closing paragraph**:\n- Simply express your interest in further discussion\n- Consider mentioning your personal website or portfolio\n- Keep it brief, 2-3 sentences is enough\n\n### Language Style Guide\n\n- Use active language, avoid passive voice\n- Avoid clich\u00e9s like \"I am excited to apply...\" or \"I believe I am the best candidate...\"\n- Adjust tone for company culture: technical companies use precise terminology, creative companies emphasize innovative thinking, etc.\n- Use natural, conversational language, as if talking with the hiring manager\n\n### Common Mistakes to Avoid\n\n- Overusing industry jargon and abbreviations\n- Long paragraphs and complex sentences\n- Data claims without supporting context\n- Vague achievement descriptions\n- Too much focus on \"what I did\" rather than \"what I can do for you\"\n\n## Final Check\n\nBefore finalizing, ensure the cover letter:\n- Totals 300-400 words (not exceeding one page)\n- Uses no templated expressions or business clich\u00e9s\n- Addresses all key requirements from the job description\n- Has a clear focus and natural transitions in each paragraph\n- Shows the applicant's personality and work style\n- Is oriented toward solving company problems\n\nPlease create a cover letter following these guidelines, keeping it authentic, concise, and targeted.", "options": {} }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 1.9, "position": [ -1040, 2220 ], "id": "ff220f55-7235-4360-b23b-aaf6b766a433", "name": "AI Agent" }, { "parameters": { "assignments": { "assignments": [ { "id": "9ba8a38a-17fc-4b4a-8a4e-6981b92cbee4", "name": "ApifyAPIKey", "value": "apify_api_your_api_key", "type": "string" }, { "id": "a08ebfd2-be88-4870-9f83-9430eda33d56", "name": "Preference", "value": "=no German proficiency requirement, high pay", "type": "string" }, { "id": "82b79f4d-43b9-4a36-80df-0d4ca51ab5e5", "name": "EmailAddressToReceiveJobRecommendations", "value": "your@email.com", "type": "string" }, { "id": "3ee98ee6-7c9f-4f2c-afe7-12bb4d53c7c2", "name": "recommendedJobCount", "value": 10, "type": "number" }, { "id": "b4c797c5-da56-47e1-84c1-ce64ea9b508e", "name": "first_timeout", "value": 60, "type": "number" }, { "id": "8e16b176-2cd3-448a-a859-6570cacda1f0", "name": "request_interval", "value": 30, "type": "number" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1980, 580 ], "id": "f9734f5e-1ea9-4407-84b4-3ab299e87b3a", "name": "Input" }, { "parameters": { "sendTo": "={{ $('Input1').first().json.EmailAddressToReceiveCoverLetter}}", "subject": "Cover Letter", "message": "={{ $json.data }}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ -60, 2220 ], "id": "ad6411f2-2608-4f7f-9efe-3b6656710d0d", "name": "Gmail", "credentials": { "gmailOAuth2": { "name": "" } } }, { "parameters": { "mode": "markdownToHtml", "markdown": "={{ $('AI Agent').item.json.output }}", "options": {} }, "type": "n8n-nodes-base.markdown", "typeVersion": 1, "position": [ -260, 2220 ], "id": "30683ac7-89bd-4df4-9071-593ee43d4e1f", "name": "Markdown" }, { "parameters": { "assignments": { "assignments": [ { "id": "97e6b24a-a185-4e8e-9767-b0fe88264885", "name": "stringified", "value": "={{ JSON.stringify($json) }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 2320, 580 ], "id": "a3930751-dacb-4c9d-89be-b2fc42590513", "name": "stringify_json" }, { "parameters": { "operation": "pdf", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ -1320, 2220 ], "id": "899a0ede-0749-4e88-9539-8fb4d9a5fa95", "name": "Extract Information from Resume PDF1" }, { "parameters": { "operation": "getAll", "tableId": "job_listings", "returnAll": true }, "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 1220, 580 ], "id": "0b09f2ef-e1f2-4535-9e35-be43e37651e2", "name": "Supabase1", "executeOnce": true, "credentials": { "supabaseApi": { "name": "" } } }, { "parameters": { "jsCode": "// \u83b7\u53d6AI Agent\u7684\u8f93\u51fa\u6587\u672c\nconst fullText = $('set_cover_letter').first().json.output;\n\n// \u6309\u81ea\u7136\u6bb5\u843d\u5206\u5272\u6587\u672c\nconst paragraphs = fullText.split(\"\\n\\n\");\n\n// \u63d0\u53d6\u7b2c\u4e00\u6bb5\u4f5c\u4e3a\u6807\u9898\uff08\u53ef\u9009\uff09\nconst title = paragraphs[0].trim();\n\n// \u521b\u5efa\u5757\u5185\u5bb9\nconst blocks = [];\n\nparagraphs.forEach((paragraph, index) => {\n if (paragraph.trim().length > 0) {\n // \u786e\u4fdd\u6bb5\u843d\u4e0d\u8d85\u8fc72000\u5b57\u7b26\n if (paragraph.length > 2000) {\n // \u5982\u679c\u8d85\u8fc7\uff0c\u8fdb\u4e00\u6b65\u5206\u5272\n let startIdx = 0;\n while (startIdx < paragraph.length) {\n const chunk = paragraph.substring(startIdx, Math.min(startIdx + 1900, paragraph.length));\n blocks.push({\n \"type\": \"paragraph\",\n \"paragraph\": {\n \"rich_text\": [{\n \"type\": \"text\",\n \"text\": {\n \"content\": chunk\n }\n }]\n }\n });\n startIdx += 1900;\n }\n } else {\n // \u5982\u679c\u6bb5\u843d\u957f\u5ea6\u5408\u9002\uff0c\u76f4\u63a5\u6dfb\u52a0\n blocks.push({\n \"type\": \"paragraph\",\n \"paragraph\": {\n \"rich_text\": [{\n \"type\": \"text\",\n \"text\": {\n \"content\": paragraph\n }\n }]\n }\n });\n }\n }\n});\n\n// \u8fd4\u56de\u7ed3\u679c\uff0c\u5305\u542b\u6807\u9898\u548c\u5757\nreturn {\n json: {\n title: title,\n blocks: blocks\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -440, 2220 ], "id": "0d98d61f-bd18-4022-beba-49d7e4b9ebd3", "name": "parse_to_markdown" }, { "parameters": { "jsCode": "// \u83b7\u53d6AI Agent\u7684\u8f93\u51fa\u6587\u672c\nconst fullText = $('set_cover_letter').first().json.output;\n\n// \u6309\u81ea\u7136\u6bb5\u843d\u5206\u5272\u6587\u672c\nconst paragraphs = fullText.split(\"\\n\\n\");\n\n// \u521b\u5efa\u591a\u4e2a\u8f93\u51fa\u9879\uff0c\u6bcf\u9879\u5bf9\u5e94\u4e00\u4e2aNotion\u6bb5\u843d\nconst returnItems = [];\n\nparagraphs.forEach((paragraph, index) => {\n if (paragraph.trim().length > 0) {\n // \u786e\u4fdd\u6bb5\u843d\u4e0d\u8d85\u8fc72000\u5b57\u7b26\n if (paragraph.length > 2000) {\n // \u5982\u679c\u8d85\u8fc7\uff0c\u8fdb\u4e00\u6b65\u5206\u5272\n let startIdx = 0;\n while (startIdx < paragraph.length) {\n const chunk = paragraph.substring(startIdx, Math.min(startIdx + 1900, paragraph.length));\n returnItems.push({\n json: {\n index: returnItems.length,\n content: chunk,\n type: \"paragraph\"\n }\n });\n startIdx += 1900;\n }\n } else {\n // \u5982\u679c\u6bb5\u843d\u957f\u5ea6\u5408\u9002\uff0c\u76f4\u63a5\u6dfb\u52a0\n returnItems.push({\n json: {\n index: index,\n content: paragraph,\n type: \"paragraph\"\n }\n });\n }\n }\n});\n\nreturn returnItems;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 220, 2220 ], "id": "9506bc44-cd63-4036-9117-b90f3c0ae659", "name": "parse_to_paragraphs" }, { "parameters": { "jsCode": "return $('parse_to_paragraphs').all().map(item => ({\n json: {\n content: item.json.content,\n type: item.json.type,\n index: item.json.index\n }\n}))" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 580, 2220 ], "id": "9aa6a16e-eb1b-4f0c-80fa-4ddd2901e59e", "name": "return_all_items" }, { "parameters": { "resource": "block", "blockId": { "__rl": true, "value": "={{ $('create_new_cover_letter').item.json.id }}", "mode": "id" }, "blockUi": { "blockValues": [ { "textContent": "={{ $json.content }}" } ] } }, "type": "n8n-nodes-base.notion", "typeVersion": 2.2, "position": [ 760, 2220 ], "id": "2c177160-fb3d-461d-9692-f336edf9b504", "name": "append_blocks", "executeOnce": false, "credentials": { "notionApi": { "name": "" } } }, { "parameters": { "resource": "databasePage", "databaseId": { "__rl": true, "value": "1ed2e9a3-326a-8177-8956-c0b5c8378bd9", "mode": "list", "cachedResultName": "Job Tracker", "cachedResultUrl": "https://www.notion.so/1ed2e9a3326a81778956c0b5c8378bd9" }, "title": "={{ $json.company_name }}", "propertiesUi": { "propertyValues": [ { "key": "Application URL|url", "urlValue": "={{ $json.application_url }}" }, { "key": "Flexibility|multi_select", "multiSelectValue": "={{ $json.flexibility }}" }, { "key": "Industry|rich_text", "textContent": "={{ $json.industry }}" }, { "key": "Salary Range|rich_text", "textContent": "={{ $json.salary_range }}" }, { "key": "Status|select", "selectValue": "Applied" }, { "key": "Location|rich_text", "textContent": "={{ $json.location }}" }, { "key": "Job Title|rich_text", "textContent": "={{ $json.job_title }}" } ] }, "blockUi": { "blockValues": [ { "textContent": "={{ $json.description.substring(0,1998) }}" }, { "textContent": "=created at {{ $json.created_at }}" } ] }, "options": {} }, "type": "n8n-nodes-base.notion", "typeVersion": 2.2, "position": [ -1900, 2220 ], "id": "bb4a25b8-f2f5-477d-af13-2b56de8b04d6", "name": "create_new_job_listing", "executeOnce": true, "credentials": { "notionApi": { "name": "" } } }, { "parameters": { "resource": "databasePage", "databaseId": { "__rl": true, "value": "1ed2e9a3-326a-809c-8508-f4faad3a019c", "mode": "list", "cachedResultName": "Cover Letter", "cachedResultUrl": "https://www.notion.so/1ed2e9a3326a809c8508f4faad3a019c" }, "title": "=Jiaqi_Wen_ {{ $now.format('yyyy-MM-dd HH:MM') }}", "propertiesUi": { "propertyValues": [ { "key": "Company Name|title", "title": "={{ $('create_new_job_listing').item.json.property_company_name }}" } ] }, "options": {} }, "type": "n8n-nodes-base.notion", "typeVersion": 2.2, "position": [ 400, 2220 ], "id": "39db0f2b-6270-43a8-93d8-3dc582ff50cf", "name": "create_new_cover_letter", "executeOnce": true, "credentials": { "notionApi": { "name": "" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "7385ee1c-5a5e-4576-b311-c6fd3f678a8b", "name": "property_company_name", "value": "={{ $json.property_company_name }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -1660, 2220 ], "id": "0cbfcbe5-8579-46be-b855-a5c60bed2636", "name": "set_company_name" }, { "parameters": { "assignments": { "assignments": [ { "id": "12c45e38-79d5-49d1-92ed-8e1aee3081b6", "name": "output", "value": "={{ $json.output }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -700, 2220 ], "id": "5a01466f-ad94-4471-9937-c18289e1b228", "name": "set_cover_letter" }, { "parameters": { "jsCode": "// \u4ece Supabase \u67e5\u8be2\u7ed3\u679c\u4e2d\u63d0\u53d6\u5df2\u5b58\u5728\u7684\u804c\u4f4d ID\n// \u786e\u4fdd\u6240\u6709 ID \u90fd\u8f6c\u6362\u4e3a\u76f8\u540c\u7684\u7c7b\u578b\uff08\u5b57\u7b26\u4e32\uff09\nconst existingJobIds = $('Supabase1').all().map(item => String(item.json.id));\nconsole.log(`\u6570\u636e\u5e93\u4e2d\u5df2\u6709 ${existingJobIds.length} \u4e2a\u804c\u4f4d ID`);\n// \u83b7\u53d6\u65b0\u6293\u53d6\u7684\u804c\u4f4d\u6570\u636e\nconst newJobs = $('Merge').all();\nconsole.log(`\u65b0\u6293\u53d6\u7684\u804c\u4f4d\u6570\u91cf: ${newJobs.length} \u4e2a`);\n// \u8fc7\u6ee4\u6389\u5df2\u5b58\u5728\u7684\u804c\u4f4d - \u540c\u6837\u786e\u4fdd ID \u8f6c\u6362\u4e3a\u76f8\u540c\u7c7b\u578b\u8fdb\u884c\u6bd4\u8f83\nconst uniqueJobs = newJobs.filter(job => !existingJobIds.includes(String(job.json.id)));\nconsole.log(`\u8fc7\u6ee4\u540e\u7684\u4e0d\u91cd\u590d\u804c\u4f4d\u6570\u91cf: ${uniqueJobs.length} \u4e2a`);\n// \u5728 return \u524d\u518d\u6b21\u8fc7\u6ee4 uniqueJobs \u6570\u7ec4\u4e2d\u7684\u91cd\u590d\u503c\nconst finalUniqueJobs = uniqueJobs.filter((job, index, self) => \n index === self.findIndex(j => String(j.json.id) === String(job.json.id))\n);\nconsole.log(`\u6700\u7ec8\u53bb\u91cd\u540e\u7684\u804c\u4f4d\u6570\u91cf: ${finalUniqueJobs.length} \u4e2a`);\n// \u8fd4\u56de\u4e0d\u91cd\u590d\u7684\u804c\u4f4d\u6570\u636e\nreturn finalUniqueJobs;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1640, 580 ], "id": "a1c6bea1-932d-4381-a8f8-7c3a0a0eadf7", "name": "get_unique_jobs" }, { "parameters": { "modelName": "models/gemini-2.0-flash-lite-001", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ -1020, 2440 ], "id": "07500052-1a4b-4d0f-b347-24aac8650882", "name": "Google Gemini Chat Model2", "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "6c37a80a-a136-4f79-b8c8-056cd044d5c0", "name": "runId", "value": "={{ $json.data.id }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -520, 580 ], "name": "Extract Run ID", "id": "e4024b46-2576-44b3-b4ec-a49d642a655a" }, { "parameters": { "url": "=https://api.apify.com/v2/actor-runs/{{ $('Extract Run ID').item.json.runId }}?token={{ $('Input').item.json.ApifyAPIKey }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -120, 580 ], "name": "Check Run Status", "id": "b020a447-3c83-4abe-9101-332a32f14446" }, { "parameters": { "conditions": { "number": [ { "value1": "={{ $json.data.status }}", "operation": "equal", "value2": "=SUCCEEDED" } ] } }, "type": "n8n-nodes-base.if", "typeVersion": 1, "position": [ 80, 580 ], "name": "Check if Succeeded", "id": "7dc13011-3cb0-4945-942b-2e3df15f9bc5" }, { "parameters": { "url": "=https://api.apify.com/v2/actor-runs/{{ $('Extract Run ID').item.json.runId }}/dataset/items?token={{ $('Input').item.json.ApifyAPIKey }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 280, 480 ], "name": "Get Dataset Items", "id": "08b46bef-3eff-402e-bc09-ad70e4d15cd0" }, { "parameters": { "amount": "={{ $('Input').first().json.request_interval }}" }, "type": "n8n-nodes-base.wait", "typeVersion": 1.1, "position": [ 280, 680 ], "name": "Wait and Retry", "id": "6b420dda-f126-4f32-a492-e71c0d8043bf" }, { "parameters": { "amount": "={{ $('Input').first().json.first_timeout }}" }, "type": "n8n-nodes-base.wait", "typeVersion": 1.1, "position": [ -320, 580 ], "name": "Wait 1 Minutes", "id": "980a6288-1a93-4a2d-88ce-8bf4fd064872" }, { "parameters": { "jsCode": "// \u83b7\u53d6\u6240\u6709\u804c\u4f4d\nconst allJobs = $input.all();\nconsole.log(`\u603b\u804c\u4f4d\u6570: ${allJobs.length}`);\n\n// \u8fc7\u6ee4\u51fa\u65b0\u804c\u4f4d\u548c\u672a\u5904\u7406\u804c\u4f4d\nconst jobsForProcessing = allJobs.filter(item => {\n const job = item.json;\n // \u9009\u62e9'new'\u72b6\u6001\u6216\u65e0\u72b6\u6001\u7684\u804c\u4f4d\n return job.status === 'new' || job.status === null || job.status === undefined;\n});\n\nconsole.log(`\u8fc7\u6ee4\u540e\u5f85\u5904\u7406\u804c\u4f4d\u6570: ${jobsForProcessing.length}`);\n\n// \u5982\u679c\u6ca1\u6709\u65b0\u804c\u4f4d\uff0c\u6dfb\u52a0\u4e00\u4e2a\u65e5\u5fd7\u6d88\u606f\nif (jobsForProcessing.length === 0) {\n console.log('\u6ca1\u6709\u65b0\u804c\u4f4d\u9700\u8981\u5904\u7406');\n}\n\nreturn jobsForProcessing;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1440, 580 ], "id": "cb23b816-4d97-4a35-84e8-6cac1999f011", "name": "filter_by_status" }, { "parameters": { "jsCode": "// \u5728n8n\u7684Function\u8282\u70b9\u4e2d\nlet jobListingsHTML = '';\nlet jobs;\n\n// \u5c1d\u8bd5\u591a\u79cd\u53ef\u80fd\u7684\u6570\u636e\u7ed3\u6784\ntry {\n if ($input.item && $input.item[0] && $input.item[0].json && $input.item[0].json.output) {\n jobs = $input.item[0].json.output;\n } else if ($input.all()[0].json.output) {\n jobs = $input.all()[0].json.output;\n } else if ($input.first().json[0] && $input.first().json[0].output) {\n jobs = $input.first().json[0].output;\n } else {\n // \u53ef\u80fd\u6570\u636e\u5728\u66f4\u6df1\u7684\u5d4c\u5957\u4e2d\n jobs = $input.first().json;\n if (Array.isArray(jobs) && jobs[0] && jobs[0].output) {\n jobs = jobs[0].output;\n }\n }\n} catch (error) {\n // \u6570\u636e\u7ed3\u6784\u95ee\u9898\u65f6\u7684\u5907\u9009\u65b9\u6848\n jobs = [];\n console.log('Error accessing job data:', error.message);\n}\n\n// \u5982\u679cjobs\u8fd8\u4e0d\u662f\u6570\u7ec4\uff0c\u5c1d\u8bd5\u6700\u540e\u7684\u65b9\u6cd5\nif (!Array.isArray(jobs)) {\n console.log('Jobs is not an array, trying alternative method');\n // \u6253\u5370\u51fa\u5b9e\u9645\u6570\u636e\u7ed3\u6784\u4ee5\u4fbf\u8c03\u8bd5\n console.log('Actual data structure:', JSON.stringify($input.all()));\n jobs = [];\n}\n\n// \u751f\u6210HTML...\n// \u4e3a\u6bcf\u4e2a\u5de5\u4f5c\u673a\u4f1a\u521b\u5efaHTML\njobs.forEach(job => {\n jobListingsHTML += `\n \n \n \n \n \n \n \n \n \n \n
\n ${job['Company Name']}
\n ${job['Job Title']}\n
\n
\n
${job.Industry}
\n
${job.Flexibility}
\n
${job['Salary Range']}
\n
\n \n
\n \n \n \n \n
\n \ud83d\udccd Location:\n ${job.Location}\n
\n
\n \n
\n Why this matches your profile:\n

${job['Reason for Match']}

\n
\n\n Apply Now\n \n
\n \n \n `;\n});\n\n// \u5728\u4f60\u539f\u59cb\u7684HTML\u6a21\u677f\u4e2d\u66ff\u6362\u6389\u5355\u4e2a\u5de5\u4f5c\u9879\u7684\u90e8\u5206\nconst fullHTML = `\n\n\n \n \n Your Tailored Career Opportunities\n\n\n \n \n \n \n
\n \n \n \n \n\n \n\n ${jobListingsHTML}\n\n
\n

Your Personalized Career Opportunities

\n

Handpicked opportunities aligned with your expertise and preferences

\n
\n
\n\n`;\n\n// \u8fd4\u56de\u6b63\u786e\u683c\u5f0f\nreturn [{json: {html: fullHTML}}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3740, 560 ], "id": "ce73e0d7-28ec-4001-98ed-11a82f954279", "name": "generate_html_template" }, { "parameters": { "jsCode": "// \u83b7\u53d6AI\u5339\u914d\u540e\u7684\u804c\u4f4d\nlet matchedJobs = [];\nconsole.log('t')\n\ntry {\n // \u5c1d\u8bd5\u4ece\u4e0d\u540c\u53ef\u80fd\u7684\u4f4d\u7f6e\u83b7\u53d6\u5339\u914d\u7684\u804c\u4f4d\n if ($input.first().json.output && Array.isArray($input.first().json.output)) {\n matchedJobs = $input.first().json.output;\n } else if ($input.first().json && Array.isArray($input.first().json)) {\n matchedJobs = $input.first().json;\n } else {\n console.log('\u65e0\u6cd5\u627e\u5230\u5339\u914d\u7684\u804c\u4f4d\u6570\u636e\uff0c\u68c0\u67e5\u8f93\u5165\u683c\u5f0f');\n console.log('\u8f93\u5165\u6570\u636e:', JSON.stringify($input.first().json));\n }\n} catch (error) {\n console.error('\u89e3\u6790\u5339\u914d\u804c\u4f4d\u65f6\u51fa\u9519:', error.message);\n}\n\nconsole.log(`\u627e\u5230 ${matchedJobs.length} \u4e2a\u5339\u914d\u7684\u804c\u4f4d`);\n\n// \u51c6\u5907\u8981\u66f4\u65b0\u7684\u804c\u4f4dID\u5217\u8868\nconst jobIdsToUpdate = matchedJobs.map(job => job.database_id || job.id);\nconsole.log('\u8981\u66f4\u65b0\u7684\u804c\u4f4dID:', jobIdsToUpdate);\n\n// \u51c6\u5907\u8981\u4fdd\u5b58\u5230Supabase\u7684\u6570\u636e\nconst updateOperations = [];\nfor (const id of jobIdsToUpdate) {\n if (id) {\n updateOperations.push({\n json: {\n id: id,\n status: 'processed',\n processed_at: new Date().toISOString()\n }\n });\n }\n}\n\n// \u4fdd\u5b58\u539f\u59cb\u5339\u914d\u7ed3\u679c\uff0c\u4ee5\u4fbf\u540e\u7eed\u6d41\u7a0b\u4f7f\u7528\nconst originalData = $input.first().json;\n\n// \u8fd4\u56de\u5305\u542b\u539f\u59cb\u6570\u636e\u548c\u66f4\u65b0\u64cd\u4f5c\u7684\u590d\u5408\u5bf9\u8c61\nreturn {\n json: {\n matchedJobs: originalData,\n updateOperations: updateOperations\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3200, 560 ], "id": "15e09766-5173-4ae4-bdcb-307bb1eb8463", "name": "update_job_status" }, { "parameters": { "content": "### Supabase / Supabase1\n\u5c06\u722c\u53d6\u7684\u804c\u4f4d\u6570\u636e\u5b58\u50a8\u5230Supabase\u6570\u636e\u5e93\u4e2d\uff0c\u7528\u4e8e\u6301\u4e45\u5316\u5b58\u50a8\u548c\u53bb\u91cd\u3002\n\u786e\u4fdd\u4e0d\u91cd\u590d\u5904\u7406\u540c\u4e00\u804c\u4f4d\u4fe1\u606f\u3002\n\n### filter_by_status / get_unique_jobs\n\u8fc7\u6ee4\u51fa\u65b0\u7684\u3001\u672a\u5904\u7406\u8fc7\u7684\u804c\u4f4d\u4fe1\u606f\uff0c\u5e76\u786e\u4fdd\u804c\u4f4dID\u7684\u552f\u4e00\u6027\u3002", "height": 640, "width": 920, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 1140, 280 ], "id": "49900548-3976-4a2c-bd9d-f4b4fc1fd335", "name": "Sticky Note8" }, { "parameters": { "content": "### start_apify_run_indeed\n\u542f\u52a8Apify\u722c\u866b\uff0c\u6293\u53d6LinkedIn\u4e0a\u7684\u804c\u4f4d\u4fe1\u606f\u3002\n\u786e\u4fdd\u5728jsonBody\u4e2d\u8bbe\u7f6e\u6b63\u786e\u7684\u641c\u7d22URL\u548c\u53c2\u6570\u3002\n\n### Check Run Status / Get Dataset Items\n\u8fd9\u4e9b\u8282\u70b9\u68c0\u67e5\u722c\u866b\u8fd0\u884c\u72b6\u6001\u5e76\u83b7\u53d6\u7ed3\u679c\u6570\u636e\u3002\n\u5305\u542b\u9519\u8bef\u5904\u7406\u548c\u91cd\u8bd5\u673a\u5236\uff0c\u786e\u4fdd\u53ef\u9760\u83b7\u53d6\u804c\u4f4d\u4fe1\u606f\u3002\n", "height": 660, "width": 1280, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -800, 1020 ], "id": "c3e70cdb-90ef-44bb-bc9e-90cb9d8ed2ba", "name": "Sticky Note12" }, { "parameters": { "assignments": { "assignments": [ { "id": "6c37a80a-a136-4f79-b8c8-056cd044d5c0", "name": "runId", "value": "={{ $json.data.id }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -520, 1340 ], "name": "Extract Run ID1", "id": "743c0c6a-08bd-4d82-b38c-ba4a01fc48bf" }, { "parameters": { "url": "=https://api.apify.com/v2/actor-runs/{{ $('Extract Run ID1').item.json.runId }}?token={{ $('Input').first().json.ApifyAPIKey }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -120, 1340 ], "name": "Check Run Status1", "id": "93631c3d-9415-43dd-904a-6b2752f7fb6d" }, { "parameters": { "conditions": { "number": [ { "value1": "={{ $json.data.status }}", "operation": "equal", "value2": "=SUCCEEDED" } ] } }, "type": "n8n-nodes-base.if", "typeVersion": 1, "position": [ 80, 1340 ], "name": "Check if Succeeded1", "id": "9ea1abca-2877-4b1d-bd57-fd6590a09886" }, { "parameters": { "url": "=https://api.apify.com/v2/actor-runs/{{ $('Extract Run ID1').item.json.runId }}/dataset/items?token={{ $('Input').first().json.ApifyAPIKey }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 280, 1240 ], "name": "Get Dataset Items1", "id": "b3402b6d-7c6c-4d48-ad1e-32fda20c3142" }, { "parameters": { "amount": "={{ $('Input').first().json.request_interval }}" }, "type": "n8n-nodes-base.wait", "typeVersion": 1.1, "position": [ 280, 1440 ], "name": "Wait and Retry1", "id": "8520cb71-5518-4044-ae51-1218287e4dca" }, { "parameters": { "amount": "={{ $('Input').first().json.first_timeout }}" }, "type": "n8n-nodes-base.wait", "typeVersion": 1.1, "position": [ -320, 1340 ], "name": "Wait 1 Minutes1", "id": "fc4a65d9-4795-4570-bdbc-a9dac5f91551" }, { "parameters": { "jsCode": "// \u6807\u51c6\u5316\u804c\u4f4d\u6570\u636e\u7684\u51fd\u6570\u8282\u70b9\nfunction normalizeJobData(inputData) {\n // \u521b\u5efa\u542b\u9ed8\u8ba4\u503c\u7684\u6807\u51c6\u804c\u4f4d\u5bf9\u8c61\n const standardJob = {\n id:'',\n company_name: '',\n job_title: '',\n application_url: '',\n location: '',\n description: '',\n industry: 'Not specified',\n flexibility: 'Not specified',\n salary_range: 'Not specified',\n status: 'new',\n source: 'external',\n created_at: new Date().toISOString()\n };\n \n // \u5c1d\u8bd5\u6620\u5c04\u8f93\u5165\u5b57\u6bb5 - \u4f7f\u7528\u591a\u79cd\u53ef\u80fd\u7684\u547d\u540d\n // \u516c\u53f8\u540d\u79f0\n standardJob.id = inputData.id || inputData.ID || inputData.job_id\n // \u786e\u4fddID\u59cb\u7ec8\u662f\u5b57\u7b26\u4e32\n if (inputData.id !== undefined && inputData.id !== null) {\n standardJob.id = String(inputData.id); // \u5f3a\u5236\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\n } else if (inputData.database_id !== undefined && inputData.database_id !== null) {\n standardJob.id = String(inputData.database_id);\n }\n \n standardJob.company_name = inputData.company_name || inputData.company || \n inputData.companyName || inputData.employer || 'Unknown Company';\n \n // \u804c\u4f4d\u540d\u79f0\n standardJob.job_title = inputData.job_title || inputData.title || \n inputData.position || inputData.role || inputData.positionName || inputData.position_name || 'Unknown Position';\n \n // \u5e94\u7528\u94fe\u63a5\n standardJob.application_url = inputData.application_url || inputData.url || \n inputData.link || inputData.apply_url || inputData.applyUrl || '';\n \n // \u5730\u70b9\n standardJob.location = inputData.location || inputData.place || \n inputData.job_location || inputData.city || '';\n \n // \u63cf\u8ff0\n standardJob.description = inputData.description || inputData.job_description || \n inputData.desc || inputData.details || inputData.desription || inputData.descriptionText || '';\n \n // \u884c\u4e1a\n standardJob.industry = inputData.industry || inputData.sector || \n inputData.field || inputData.industries || standardJob.industry;\n \n // \u7075\u6d3b\u6027/\u5de5\u4f5c\u5b89\u6392\n standardJob.flexibility = inputData.flexibility || inputData.work_type ||\n inputData.arrangement || standardJob.flexibility;\n \n // \u85aa\u8d44\u8303\u56f4\n standardJob.salary_range = inputData.salary_range || inputData.salary || \n inputData.compensation || standardJob.salary_range;\n \n // \u6765\u6e90\u53ef\u4ee5\u88ab\u8986\u76d6\n if (inputData.source) {\n standardJob.source = inputData.source;\n }\n \n // \u65e5\u5fd7\u8bb0\u5f55\uff0c\u5e2e\u52a9\u8c03\u8bd5\n console.log('\u539f\u59cb\u6570\u636e:', JSON.stringify(inputData));\n console.log('\u6807\u51c6\u5316\u540e:', JSON.stringify(standardJob));\n \n return standardJob;\n}\n\n// \u83b7\u53d6\u6240\u6709\u8f93\u5165\u9879\nconst inputItems = $input.all();\nconsole.log(`\u5904\u7406 ${inputItems.length} \u4e2a\u804c\u4f4d\u9879`);\n\n// \u4f7f\u7528map\u5904\u7406\u6bcf\u4e2a\u9879\u76ee\nconst normalizedJobs = inputItems.map(item => {\n const inputData = item.json || {};\n return { json: normalizeJobData(inputData) };\n});\n\n// \u8bb0\u5f55\u5904\u7406\u7ed3\u679c\nconsole.log(`\u6807\u51c6\u5316\u540e\u5f97\u5230 ${normalizedJobs.length} \u4e2a\u804c\u4f4d`);\n\n// \u8fd4\u56de\u6807\u51c6\u5316\u7684\u804c\u4f4d\u6570\u636e\u6570\u7ec4\nreturn normalizedJobs;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 600, 1240 ], "id": "e2c6f06c-d197-4f99-be0d-2e5f3cf2c4bc", "name": "normalize_job_data" }, { "parameters": { "jsCode": "// \u6807\u51c6\u5316\u804c\u4f4d\u6570\u636e\u7684\u51fd\u6570\u8282\u70b9\nfunction normalizeJobData(inputData) {\n // \u521b\u5efa\u542b\u9ed8\u8ba4\u503c\u7684\u6807\u51c6\u804c\u4f4d\u5bf9\u8c61\n const standardJob = {\n id:'',\n company_name: '',\n job_title: '',\n application_url: '',\n location: '',\n description: '',\n industry: 'Not specified',\n flexibility: 'Not specified',\n salary_range: 'Not specified',\n status: 'new',\n source: 'external',\n created_at: new Date().toISOString()\n };\n \n // \u5c1d\u8bd5\u6620\u5c04\u8f93\u5165\u5b57\u6bb5 - \u4f7f\u7528\u591a\u79cd\u53ef\u80fd\u7684\u547d\u540d\n // \u516c\u53f8\u540d\u79f0\n standardJob.id = inputData.id || inputData.ID || inputData.job_id\n // \u786e\u4fddID\u59cb\u7ec8\u662f\u5b57\u7b26\u4e32\n if (inputData.id !== undefined && inputData.id !== null) {\n standardJob.id = String(inputData.id); // \u5f3a\u5236\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\n } else if (inputData.database_id !== undefined && inputData.database_id !== null) {\n standardJob.id = String(inputData.database_id);\n }\n \n standardJob.company_name = inputData.company_name || inputData.company || \n inputData.companyName || inputData.employer || 'Unknown Company';\n \n // \u804c\u4f4d\u540d\u79f0\n standardJob.job_title = inputData.job_title || inputData.title || \n inputData.position || inputData.role || inputData.positionName || inputData.position_name || 'Unknown Position';\n \n // \u5e94\u7528\u94fe\u63a5\n standardJob.application_url = inputData.application_url || inputData.url || \n inputData.link || inputData.apply_url || inputData.applyUrl || '';\n \n // \u5730\u70b9\n standardJob.location = inputData.location || inputData.place || \n inputData.job_location || inputData.city || '';\n \n // \u63cf\u8ff0\n standardJob.description = inputData.description || inputData.job_description || \n inputData.desc || inputData.details || inputData.desription || inputData.descriptionText || '';\n \n // \u884c\u4e1a\n standardJob.industry = inputData.industry || inputData.sector || \n inputData.field || inputData.industries || standardJob.industry;\n \n // \u7075\u6d3b\u6027/\u5de5\u4f5c\u5b89\u6392\n standardJob.flexibility = inputData.flexibility || inputData.work_type ||\n inputData.arrangement || standardJob.flexibility;\n \n // \u85aa\u8d44\u8303\u56f4\n standardJob.salary_range = inputData.salary_range || inputData.salary || \n inputData.compensation || standardJob.salary_range;\n \n // \u6765\u6e90\u53ef\u4ee5\u88ab\u8986\u76d6\n if (inputData.source) {\n standardJob.source = inputData.source;\n }\n \n // \u65e5\u5fd7\u8bb0\u5f55\uff0c\u5e2e\u52a9\u8c03\u8bd5\n console.log('\u539f\u59cb\u6570\u636e:', JSON.stringify(inputData));\n console.log('\u6807\u51c6\u5316\u540e:', JSON.stringify(standardJob));\n \n return standardJob;\n}\n\n// \u83b7\u53d6\u6240\u6709\u8f93\u5165\u9879\nconst inputItems = $input.all();\nconsole.log(`\u5904\u7406 ${inputItems.length} \u4e2a\u804c\u4f4d\u9879`);\n\n// \u4f7f\u7528map\u5904\u7406\u6bcf\u4e2a\u9879\u76ee\nconst normalizedJobs = inputItems.map(item => {\n const inputData = item.json || {};\n return { json: normalizeJobData(inputData) };\n});\n\n// \u8bb0\u5f55\u5904\u7406\u7ed3\u679c\nconsole.log(`\u6807\u51c6\u5316\u540e\u5f97\u5230 ${normalizedJobs.length} \u4e2a\u804c\u4f4d`);\n\n// \u8fd4\u56de\u6807\u51c6\u5316\u7684\u804c\u4f4d\u6570\u636e\u6570\u7ec4\nreturn normalizedJobs;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 600, 560 ], "id": "107cb74f-c30c-4f33-bd18-bd3ca126eba3", "name": "normalize_job_data1" }, { "parameters": {}, "type": "n8n-nodes-base.merge", "typeVersion": 3.1, "position": [ 920, 580 ], "id": "0e1853fa-e4cf-42da-a3a5-b0e6635b2f7e", "name": "Merge" }, { "parameters": { "method": "POST", "url": "=https://api.apify.com/v2/acts/curious_coder~linkedin-jobs-scraper/runs?token={{ $('Input').item.json.ApifyAPIKey }}", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" }, {} ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "{\n \"count\": 100,\n \"scrapeCompany\": true,\n \"urls\": [\n \"https://www.linkedin.com/jobs/search?keywords=&location=%E5%BE%B7%E5%9B%BD&geoId=101282230&f_JT=P%2CT&f_PP=100477049&f_TPR=r604800&position=1&pageNum=0\"\n ]\n}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -720, 580 ], "name": "start_apify_run_linkedin", "id": "7c98cd7e-ad41-4745-b388-865750627599" }, { "parameters": { "method": "POST", "url": "=https://api.apify.com/v2/acts/misceres~indeed-scraper/runs?token={{ $('Input').item.json.ApifyAPIKey }}", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "{\n \"position\": \"werkstudent\",\n \"country\": \"DE\",\n \"location\": \"Munich\",\n \"maxItems\": 20,\n \"parseCompanyDetails\": false,\n \"saveOnlyUniqueItems\": true,\n \"followApplyRedirects\": false\n}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -720, 1340 ], "name": "start_apify_run_indeed", "id": "8cf94baa-0668-4f78-b639-51ec4b662bb3" }, { "parameters": { "aggregate": "aggregateAllItemData", "options": {} }, "type": "n8n-nodes-base.aggregate", "typeVersion": 1, "position": [ 2140, 580 ], "id": "44a55512-45d7-4019-8f9a-688a7cc48ea2", "name": "Aggregate" }, { "parameters": { "content": "### stringify_json / Aggregate\n\u51c6\u5907\u804c\u4f4d\u6570\u636e\uff0c\u8f6c\u4e3aAI\u53ef\u5904\u7406\u7684\u683c\u5f0f\uff0c\u5e76\u805a\u5408\u6240\u6709\u76f8\u5173\u4fe1\u606f\u3002", "height": 640, "width": 320, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 2120, 280 ], "id": "b0f2893e-0ebe-4f21-abce-bdb738573b7d", "name": "Sticky Note13" }, { "parameters": { "operation": "update", "tableId": "job_listings", "filters": { "conditions": [ { "keyName": "id", "condition": "eq", "keyValue": "={{ $json.id }}" } ] }, "fieldsUi": { "fieldValues": [ { "fieldId": "status", "fieldValue": "={{ $json.status }}" }, { "fieldId": "processed_at", "fieldValue": "={{ $json.processed_at }}" } ] } }, "id": "07ccc1de-a175-4077-94cf-a97aee091c8a", "name": "Supabase_update_job_status", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 3740, -40 ], "credentials": { "supabaseApi": { "name": "" } } }, { "parameters": { "jsCode": "// \u83b7\u53d6\u8981\u66f4\u65b0\u7684\u64cd\u4f5c\nconst updateOps = $input.first().json.updateOperations;\n\n// \u5c06\u6bcf\u4e2a\u66f4\u65b0\u64cd\u4f5c\u62c6\u5206\u4e3a\u5355\u72ec\u7684\u9879\nreturn updateOps.map(op => op.json);" }, "id": "0d6f0378-6f67-44ce-b091-cc586bf3b2c1", "name": "extract_update_operation", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3520, -40 ] }, { "parameters": { "jsCode": "// \u4ece\u590d\u5408\u5bf9\u8c61\u4e2d\u63d0\u53d6\u539f\u59cb\u5339\u914d\u7ed3\u679c\nreturn $input.first().json.matchedJobs;" }, "id": "5de02ab2-6968-44c0-9ecd-5b309c1b3e47", "name": "extract_matched_jobs", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3520, 560 ] }, { "parameters": { "content": "### \u6ce8\u610f\u82b1\u8d39\n\u5efa\u8baerun\u5b8c\u4e4b\u540e\uff0cpin\u4f4f\u6570\u636e", "height": 420, "width": 220, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -780, 480 ], "id": "4c6d92dc-a798-4f42-ae2d-d681826cdc20", "name": "Sticky Note14" }, { "parameters": { "content": "### \u6ce8\u610f\u82b1\u8d39\n\u5efa\u8baerun\u5b8c\u4e4b\u540e\uff0cpin\u4f4f\u6570\u636e", "height": 420, "width": 220, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -780, 1240 ], "id": "48b38117-786d-4fab-96a2-150669858000", "name": "Sticky Note15" }, { "parameters": { "content": "### normalize_job_data \n\u6807\u51c6\u5316\u4ece\u4e0d\u540c\u5e73\u53f0\u83b7\u53d6\u7684\u804c\u4f4d\u6570\u636e\uff0c\u786e\u4fdd\u7edf\u4e00\u7684\u6570\u636e\u7ed3\u6784\u3002\n\u5904\u7406\u5404\u5b57\u6bb5\u7684\u6620\u5c04\u548c\u9ed8\u8ba4\u503c\u8bbe\u7f6e\u3002", "height": 640, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 540, 280 ], "id": "a3e9d6a0-04cb-4fec-88d5-38693bbd50e8", "name": "Sticky Note16" }, { "parameters": { "content": "### normalize_job_data \n\u6807\u51c6\u5316\u4ece\u4e0d\u540c\u5e73\u53f0\u83b7\u53d6\u7684\u804c\u4f4d\u6570\u636e\uff0c\u786e\u4fdd\u7edf\u4e00\u7684\u6570\u636e\u7ed3\u6784\u3002\n\u5904\u7406\u5404\u5b57\u6bb5\u7684\u6620\u5c04\u548c\u9ed8\u8ba4\u503c\u8bbe\u7f6e\u3002", "height": 640, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 540, 1020 ], "id": "1d3262e9-58cd-4eb8-82ca-fd93f39dd7a1", "name": "Sticky Note17" }, { "parameters": { "content": "### extract_matched_jobs / extract_update_operation\n\u4eceAI\u5339\u914d\u7ed3\u679c\u4e2d\u63d0\u53d6\u6700\u7ec8\u63a8\u8350\u804c\u4f4d\u548c\u9700\u8981\u66f4\u65b0\u7684\u6570\u636e\u5e93\u8bb0\u5f55\u3002\n", "height": 460, "width": 480, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 3440, -220 ], "id": "62314cd8-38b2-4f47-8ce0-9365f188acd0", "name": "Sticky Note18" }, { "parameters": { "content": "### update_job_status\n\u66f4\u65b0\u5df2\u5904\u7406\u804c\u4f4d\u7684\u72b6\u6001\uff0c\u907f\u514d\u91cd\u590d\u63a8\u8350\u540c\u4e00\u804c\u4f4d\u3002\n", "height": 620, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 3140, 300 ], "id": "1938735f-c13f-4c39-b33b-bbb8b3e4b714", "name": "Sticky Note19" }, { "parameters": { "content": "\n### generate_html_template\n\u5c06\u5339\u914d\u7ed3\u679c\u8f6c\u6362\u4e3a\u7f8e\u89c2\u7684HTML\u90ae\u4ef6\u6a21\u677f\uff0c\u5305\u542b\u804c\u4f4d\u8be6\u60c5\u548c\u76f4\u63a5\u5e94\u7528\u94fe\u63a5\u3002", "height": 620, "width": 480, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 3440, 300 ], "id": "8443703a-7c20-4252-91e7-a6c0e4e93a31", "name": "Sticky Note20" }, { "parameters": { "content": "\n### AI Agent (\u6c42\u804c\u4fe1\u751f\u6210)\n**\u4e2a\u6027\u5316\u6c42\u804c\u4fe1\u751f\u6210\u5668**\n\u57fa\u4e8e\u60a8\u7684\u7b80\u5386\u548c\u7279\u5b9a\u804c\u4f4d\u63cf\u8ff0\uff0c\u4f7f\u7528AI\u751f\u6210\u91cf\u8eab\u5b9a\u5236\u7684\u4e13\u4e1a\u6c42\u804c\u4fe1\u3002\n\u6c42\u804c\u4fe1\u98ce\u683c\u7279\u70b9\uff1a\n- \u4ee5\u516c\u53f8\u9700\u6c42\u4e3a\u4e2d\u5fc3\uff0c\u7a81\u51fa\u60a8\u5982\u4f55\u89e3\u51b3\u7279\u5b9a\u95ee\u9898\n- \u7b80\u6d01\u76f4\u63a5\u7684\u8868\u8fbe\u65b9\u5f0f\n- \u771f\u5b9e\u4e2a\u6027\u5316\u5185\u5bb9\uff0c\u907f\u514d\u9648\u8bcd\u6ee5\u8c03\n- \u9488\u5bf9\u804c\u4f4d\u5173\u952e\u8981\u6c42\u63d0\u4f9b\u6709\u529b\u8bc1\u660e\n- \u8d28\u91cf\u4f18\u5148\uff0c\u63d0\u4f9b\u6709\u529b\u7684\u5b9e\u4f8b\u800c\u975e\u7a7a\u6cdb\u6210\u5c31\n", "height": 1080, "width": 580, "color": 6 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -1120, 1780 ], "id": "deb0c021-c55c-4bd2-a007-0e7b775dd84a", "name": "Sticky Note21" }, { "parameters": { "content": "### Webhook\n\u63a5\u6536\u6c42\u804c\u4fe1\u751f\u6210\u8bf7\u6c42\uff0c\u5904\u7406\u7279\u5b9a\u804c\u4f4dID\u7684\u6c42\u804c\u4fe1\u751f\u6210\u3002", "height": 640, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -2960, 1940 ], "id": "fe1f46c5-a55b-4931-804d-0289de307096", "name": "Sticky Note4" }, { "parameters": { "content": "\n### Gmail / Markdown\n\u683c\u5f0f\u5316\u6c42\u804c\u4fe1\u5185\u5bb9\u5e76\u901a\u8fc7\u7535\u5b50\u90ae\u4ef6\u53d1\u9001\u7ed9\u60a8\u3002\n", "height": 640, "width": 220, "color": 2 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -120, 1940 ], "id": "3473e0e9-5d63-4850-add5-757fe1209834", "name": "Sticky Note22" }, { "parameters": { "content": "\n### create_new_cover_letter / append_blocks\n\u5c06\u751f\u6210\u7684\u6c42\u804c\u4fe1\u5b58\u50a8\u5230Notion\u6570\u636e\u5e93\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u67e5\u770b\u548c\u7f16\u8f91\u3002", "height": 640, "width": 760, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 160, 1940 ], "id": "c8deb8fb-25ca-49f9-8f25-07c74c14d6a6", "name": "Sticky Note23" }, { "parameters": { "content": "\n5. \u914d\u7f6eNotion\u96c6\u6210\uff08\u53ef\u9009\uff09\uff1a\n\n\u5982\u9700\u4f7f\u7528Notion\u8ddf\u8e2a\u5e94\u7528\u8fdb\u5ea6\uff0c\u8bf7\u786e\u4fdd\u8bbe\u7f6e\u4e86\u6b63\u786e\u7684Notion Database ID\n\u6ce8\uff1a\u5efa\u8bae\u521b\u5efa\u4e24\u4e2a\u6570\u636e\u5e93\uff1a\n\nJob Tracker\u6570\u636e\u5e93\n\u5c5e\u6027\uff1aCompany Name(\u6807\u9898), Job Title, Industry, Application URL, Location, Flexibility, Salary Range, Status\n\n\nCover Letter\u6570\u636e\u5e93\n\u5c5e\u6027\uff1aTitle(\u6807\u9898), Company Name\n\n6. \u6570\u636e\u5e93\u914d\u7f6e\uff1a\n\n\u786e\u4fdd\u5728Supabase\u6216\u60a8\u9009\u62e9\u7684\u6570\u636e\u5e93\u7cfb\u7edf\u4e2d\u521b\u5efa\u4e86\u540d\u4e3ajob_listings\u7684\u8868\n\u8868\u7ed3\u6784\u5e94\u5305\u542b\u4ee5\u4e0b\u5b57\u6bb5\uff08\u53ef\u4f7f\u7528\u4ee5\u4e0bSQL\u521b\u5efa\uff09:\n\nsqlCREATE TABLE job_listings (\n id TEXT PRIMARY KEY,\n company_name TEXT NOT NULL,\n job_title TEXT NOT NULL,\n application_url TEXT,\n location TEXT,\n description TEXT,\n industry TEXT,\n flexibility TEXT,\n salary_range TEXT,\n status TEXT,\n source TEXT,\n created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,\n processed_at TIMESTAMP WITH TIME ZONE,\n reason_for_match TEXT\n);\n", "height": 820, "width": 900, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -800, -600 ], "id": "339fecf0-ec3b-4fed-94b8-93d79fdb36a3", "name": "Sticky Note24" }, { "parameters": { "content": "### DownloadResume\n\u4eceGoogle Drive\u4e0b\u8f7d\u60a8\u7684\u7b80\u5386PDF\u6587\u4ef6\u3002\u8bf7\u786e\u4fdd\u4e0a\u4f20\u60a8\u7684\u7b80\u5386\u5230Google Drive\u5e76\u83b7\u53d6\u6587\u4ef6ID\u3002\n\n### Extract Information from Resume PDF\n\u63d0\u53d6\u7b80\u5386PDF\u4e2d\u7684\u6587\u672c\u5185\u5bb9\uff0c\u4e3a\u540e\u7eedAI\u5339\u914d\u505a\u51c6\u5907\u3002\n\n### SetResumeField\n\u5c06\u63d0\u53d6\u7684\u7b80\u5386\u6587\u672c\u8bbe\u7f6e\u4e3a\u53d8\u91cf\uff0c\u4ee5\u4fbf\u5728\u5de5\u4f5c\u6d41\u7a0b\u7684\u540e\u7eed\u6b65\u9aa4\u4e2d\u4f7f\u7528\u3002", "height": 640, "width": 540 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -1700, 1940 ], "id": "b90970fe-b19a-4b09-81d1-3ee7731dcba1", "name": "Sticky Note5" }, { "parameters": { "content": "\n### create_new_job_listing\n\u5728job tracker\u6570\u636e\u5e93\u5efa\u6863", "height": 640, "width": 210, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -1960, 1940 ], "id": "a44820e3-c5f1-48eb-b076-6ed303ac6ce5", "name": "Sticky Note25" }, { "parameters": { "content": "\n### supabase_get\n\u6309\u4f20\u5165\u7684id\uff0c\u5728\u6570\u636e\u5e93\u91cc\u627e\u5230\u5bf9\u5e94\u7684\u5de5\u4f5c\u63cf\u8ff0\u3002", "height": 640, "width": 370, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -2380, 1940 ], "id": "9b4619b3-90f1-4e93-aec5-2e6ffdd8214f", "name": "Sticky Note26" }, { "parameters": { "assignments": { "assignments": [ { "id": "8e16b176-2cd3-448a-a859-6570cacda1f0", "name": "EmailAddressToReceiveCoverLetter", "value": "your@email.com", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -2600, 2220 ], "id": "90b4feae-dedb-467e-abc4-c655630c86fe", "name": "Input1" }, { "parameters": { "content": "### Input\n**\u5173\u952e\u914d\u7f6e\u8282\u70b9**\n\u8fd9\u91cc\u8bbe\u7f6e\u4e86\u6574\u4e2a\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u4f7f\u7528\u7684\u91cd\u8981\u53d8\u91cf\uff1a**EmailAddressToReceiveCoverLetter**: \u63a5\u6536\u804c\u4f4d\u63a8\u8350\u7684\u90ae\u7bb1", "height": 640, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -2680, 1940 ], "id": "fc3d73fa-5f75-44fa-84ae-a1cdd7230328", "name": "Sticky Note27" } ], "connections": { "Schedule Trigger": { "main": [ [ { "node": "Input", "type": "main", "index": 0 } ] ] }, "SetResumeField": { "main": [ [ { "node": "start_apify_run_linkedin", "type": "main", "index": 0 }, { "node": "start_apify_run_indeed", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0 } ] ] }, "Auto-fixing Output Parser": { "ai_outputParser": [ [ { "node": "AI Agent: Find Best-matched jobs", "type": "ai_outputParser", "index": 0 } ] ] }, "DownloadResume": { "main": [ [ { "node": "Extract Information from Resume PDF", "type": "main", "index": 0 } ] ] }, "Extract Information from Resume PDF": { "main": [ [ { "node": "SetResumeField", "type": "main", "index": 0 } ] ] }, "AI Agent: Find Best-matched jobs": { "main": [ [ { "node": "update_job_status", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent: Find Best-matched jobs", "type": "ai_languageModel", "index": 0 } ] ] }, "Google Gemini Chat Model1": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "Email the top job recommendations": { "main": [ [] ] }, "Supabase": { "main": [ [] ] }, "Webhook": { "main": [ [ { "node": "Input1", "type": "main", "index": 0 } ] ] }, "Supabase_get": { "main": [ [ { "node": "create_new_job_listing", "type": "main", "index": 0 } ] ] }, "get_job_id": { "main": [ [ { "node": "Supabase_get", "type": "main", "index": 0 } ] ] }, "DownloadResume1": { "main": [ [ { "node": "Extract Information from Resume PDF1", "type": "main", "index": 0 } ] ] }, "Input": { "main": [ [ { "node": "DownloadResume", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "set_cover_letter", "type": "main", "index": 0 } ] ] }, "Gmail": { "main": [ [ { "node": "parse_to_paragraphs", "type": "main", "index": 0 } ] ] }, "Markdown": { "main": [ [ { "node": "Gmail", "type": "main", "index": 0 } ] ] }, "stringify_json": { "main": [ [ { "node": "AI Agent: Find Best-matched jobs", "type": "main", "index": 0 } ] ] }, "Extract Information from Resume PDF1": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "Supabase1": { "main": [ [ { "node": "filter_by_status", "type": "main", "index": 0 } ] ] }, "parse_to_markdown": { "main": [ [ { "node": "Markdown", "type": "main", "index": 0 } ] ] }, "parse_to_paragraphs": { "main": [ [ { "node": "create_new_cover_letter", "type": "main", "index": 0 } ] ] }, "return_all_items": { "main": [ [ { "node": "append_blocks", "type": "main", "index": 0 } ] ] }, "append_blocks": { "main": [ [] ] }, "create_new_job_listing": { "main": [ [ { "node": "set_company_name", "type": "main", "index": 0 } ] ] }, "create_new_cover_letter": { "main": [ [ { "node": "return_all_items", "type": "main", "index": 0 } ] ] }, "set_company_name": { "main": [ [ { "node": "DownloadResume1", "type": "main", "index": 0 } ] ] }, "set_cover_letter": { "main": [ [ { "node": "parse_to_markdown", "type": "main", "index": 0 } ] ] }, "get_unique_jobs": { "main": [ [ { "node": "Supabase", "type": "main", "index": 0 }, { "node": "Aggregate", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model2": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Extract Run ID": { "main": [ [ { "node": "Wait 1 Minutes", "type": "main", "index": 0 } ] ] }, "Check Run Status": { "main": [ [ { "node": "Check if Succeeded", "type": "main", "index": 0 } ] ] }, "Check if Succeeded": { "main": [ [ { "node": "Get Dataset Items", "type": "main", "index": 0 } ], [ { "node": "Wait and Retry", "type": "main", "index": 0 } ] ] }, "Wait and Retry": { "main": [ [ { "node": "Check Run Status", "type": "main", "index": 0 } ] ] }, "Get Dataset Items": { "main": [ [ { "node": "normalize_job_data1", "type": "main", "index": 0 } ] ] }, "Wait 1 Minutes": { "main": [ [ { "node": "Check Run Status", "type": "main", "index": 0 } ] ] }, "filter_by_status": { "main": [ [ { "node": "get_unique_jobs", "type": "main", "index": 0 } ] ] }, "generate_html_template": { "main": [ [ { "node": "Email the top job recommendations", "type": "main", "index": 0 } ] ] }, "update_job_status": { "main": [ [ { "node": "extract_update_operation", "type": "main", "index": 0 }, { "node": "extract_matched_jobs", "type": "main", "index": 0 } ] ] }, "Extract Run ID1": { "main": [ [ { "node": "Wait 1 Minutes1", "type": "main", "index": 0 } ] ] }, "Check Run Status1": { "main": [ [ { "node": "Check if Succeeded1", "type": "main", "index": 0 } ] ] }, "Check if Succeeded1": { "main": [ [ { "node": "Get Dataset Items1", "type": "main", "index": 0 } ], [ { "node": "Wait and Retry1", "type": "main", "index": 0 } ] ] }, "Wait and Retry1": { "main": [ [ { "node": "Check Run Status1", "type": "main", "index": 0 } ] ] }, "Wait 1 Minutes1": { "main": [ [ { "node": "Check Run Status1", "type": "main", "index": 0 } ] ] }, "Get Dataset Items1": { "main": [ [ { "node": "normalize_job_data", "type": "main", "index": 0 } ] ] }, "normalize_job_data": { "main": [ [ { "node": "Merge", "type": "main", "index": 1 } ] ] }, "normalize_job_data1": { "main": [ [ { "node": "Merge", "type": "main", "index": 0 } ] ] }, "Merge": { "main": [ [ { "node": "Supabase1", "type": "main", "index": 0 } ] ] }, "start_apify_run_linkedin": { "main": [ [ { "node": "Extract Run ID", "type": "main", "index": 0 } ] ] }, "start_apify_run_indeed": { "main": [ [ { "node": "Extract Run ID1", "type": "main", "index": 0 } ] ] }, "Aggregate": { "main": [ [ { "node": "stringify_json", "type": "main", "index": 0 } ] ] }, "extract_update_operation": { "main": [ [ { "node": "Supabase_update_job_status", "type": "main", "index": 0 } ] ] }, "extract_matched_jobs": { "main": [ [ { "node": "generate_html_template", "type": "main", "index": 0 } ] ] }, "Input1": { "main": [ [ { "node": "get_job_id", "type": "main", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1", "timezone": "Europe/Berlin", "callerPolicy": "workflowsFromSameOwner" }, "versionId": "4b799270-9a76-45af-9cf6-34cc35b6b3bb", "meta": { "templateCredsSetupCompleted": true }, "id": "hdtyEN3TSE5lcYuU", "tags": [ { "createdAt": "2025-05-07T19:03:39.508Z", "updatedAt": "2025-05-07T19:03:39.508Z", "id": "aMCUQslRcX5XDhov", "name": "Linkedin" } ] }