{ "id": "O4m0fA6PJq3Qwm6e", "meta": { "templateCredsSetupCompleted": true }, "name": "Job Search and Categorization", "tags": [], "nodes": [ { "id": "4e86262f-bbf8-45cd-bae6-ca5cb910d41d", "name": "Form Trigger", "type": "n8n-nodes-base.formTrigger", "position": [ 9696, 9888 ], "parameters": { "options": {}, "formTitle": "Job Search", "formFields": { "values": [ { "fieldLabel": "Job Role", "placeholder": "e.g. Frontend Developer", "requiredField": true }, { "fieldLabel": "Tech Stack", "placeholder": "e.g. React, Node.js, TypeScript", "requiredField": true }, { "fieldType": "dropdown", "fieldLabel": "Country", "fieldOptions": { "values": [ { "option": "India" }, { "option": "United States" }, { "option": "United Kingdom" }, { "option": "Germany" }, { "option": "Canada" }, { "option": "Australia" }, { "option": "Netherlands" }, { "option": "Singapore" }, { "option": "UAE" }, { "option": "Remote / Anywhere" } ] }, "requiredField": true } ] }, "formDescription": "Enter your job preferences to search across multiple job boards" }, "typeVersion": 2.2 }, { "id": "f9a05be5-e694-4154-b3c4-a26f2e893ea3", "name": "Store Form Input", "type": "n8n-nodes-base.code", "position": [ 9888, 9888 ], "parameters": { "jsCode": "// Store form input for downstream nodes\nconst formData = $input.first().json;\nreturn [{ json: { _jobRole: formData['Job Role'] || '', _techStack: formData['Tech Stack'] || '', _country: formData['Country'] || '' } }];" }, "typeVersion": 2 }, { "id": "9e218d61-ddad-45a7-a674-168d898b1e9c", "name": "Scrape Remotive", "type": "n8n-nodes-base.httpRequest", "position": [ 10144, 9584 ], "parameters": { "url": "=https://remotive.com/api/remote-jobs?search={{ $json._jobRole }}&limit=25", "options": { "response": { "response": { "neverError": true } } } }, "typeVersion": 4 }, { "id": "6d1ac6f0-81d6-4b94-b94f-65daf25aebec", "name": "Scrape Arbeitnow", "type": "n8n-nodes-base.httpRequest", "position": [ 10144, 9792 ], "parameters": { "url": "=https://www.arbeitnow.com/api/job-board-api?search={{ $json._jobRole }}", "options": { "response": { "response": { "neverError": true } } } }, "typeVersion": 4 }, { "id": "dd6db0f8-bdc0-4bb9-9519-6b05e6573fa1", "name": "Scrape Jobicy", "type": "n8n-nodes-base.httpRequest", "position": [ 10144, 9984 ], "parameters": { "url": "=https://jobicy.com/api/v2/remote-jobs?tag={{ $json._jobRole }}", "options": { "response": { "response": { "neverError": true } } } }, "typeVersion": 4 }, { "id": "e0b2d890-209c-4627-8fc8-52eb6a883a67", "name": "Apify LinkedIn Jobs", "type": "n8n-nodes-base.httpRequest", "position": [ 10048, 10368 ], "parameters": { "url": "https://api.apify.com/v2/acts/hMvNSpz3JnHgl5jkh/run-sync-get-dataset-items?token=&timeout=120", "method": "POST", "options": { "response": { "response": { "neverError": true } } }, "jsonBody": "={{ JSON.stringify({ title: $json._jobRole, location: $json._country, maxItems: 30, publishedAt: 'r86400', sort: 'date' }) }}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4 }, { "id": "27b89ea9-18bb-40a6-81f8-40d653090201", "name": "Apify Naukri Jobs", "type": "n8n-nodes-base.httpRequest", "position": [ 9792, 10368 ], "parameters": { "url": "https://api.apify.com/v2/acts/codemaverick~naukri-job-scraper-latest/run-sync-get-dataset-items?token=&timeout=120", "method": "POST", "options": { "response": { "response": { "neverError": true } } }, "jsonBody": "={{ JSON.stringify({ searchQuery: $json._jobRole, maxItems: 30 }) }}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4 }, { "id": "3c9db3ed-b043-4545-a4cb-2ca69c078538", "name": "Merge Free APIs", "type": "n8n-nodes-base.merge", "position": [ 10384, 9680 ], "parameters": {}, "typeVersion": 3 }, { "id": "45b9e7df-f97b-4875-a4c8-0299d236b3f7", "name": "Merge Free + Jobicy", "type": "n8n-nodes-base.merge", "position": [ 10592, 9840 ], "parameters": {}, "typeVersion": 3 }, { "id": "d4ce9352-42f7-4ab8-ba2b-cff479415dba", "name": "Merge + LinkedIn", "type": "n8n-nodes-base.merge", "position": [ 10784, 9984 ], "parameters": {}, "typeVersion": 3 }, { "id": "16a844a5-2784-4311-b06a-224caf84a9c2", "name": "Merge All", "type": "n8n-nodes-base.merge", "position": [ 10992, 10080 ], "parameters": {}, "typeVersion": 3 }, { "id": "ca754bde-5cc7-4354-8804-58ff8d72a526", "name": "Normalize Score and Sort", "type": "n8n-nodes-base.code", "position": [ 11184, 9888 ], "parameters": { "jsCode": "const items = $input.all();\n\n// Extract stored form data from the first item that has it\nlet jobRole = '';\nlet techStack = '';\nlet country = '';\nfor (const item of items) {\n if (item.json._jobRole) { jobRole = item.json._jobRole; techStack = item.json._techStack || ''; country = item.json._country || ''; break; }\n}\n\nfunction clean(html) {\n return (html || '').replace(/<[^>]*>/g, '').replace(/&/g, '&').replace(/</g, '<').replace(/>/g, '>').replace(/"/g, '\"').replace(/'/g, \"'\").replace(/\\s+/g, ' ').trim();\n}\n\nfunction extractSalary(desc, data) {\n if (data.salary) return String(data.salary);\n if (data.salaryMin || data.salaryMax) {\n const parts = [];\n if (data.salaryCurrency) parts.push(data.salaryCurrency);\n if (data.salaryMin) parts.push(Number(data.salaryMin).toLocaleString());\n if (data.salaryMax) parts.push('- ' + Number(data.salaryMax).toLocaleString());\n if (data.salaryPeriod) parts.push(data.salaryPeriod);\n return parts.join(' ');\n }\n const m = desc.match(/[\\$\\\u00a3\\\u20ac\\\u20b9]\\s?[\\d,]+(?:\\s?[-\u2013]\\s?[\\$\\\u00a3\\\u20ac\\\u20b9]?\\s?[\\d,]+)?(?:\\s?(?:k|K|LPA|lpa|pa|p\\.a\\.|per year|per annum|yearly|annually))?/);\n if (m) return m[0].trim();\n return 'Not mentioned';\n}\n\nfunction extractVisa(desc) {\n const lower = desc.toLowerCase();\n if (lower.includes('visa sponsor') || lower.includes('visa support') || lower.includes('we sponsor') || lower.includes('sponsorship available') || lower.includes('will sponsor')) return 'Yes';\n if (lower.includes('no visa') || lower.includes('no sponsorship') || lower.includes('must be authorized') || lower.includes('must be eligible') || lower.includes('right to work') || lower.includes('authorized to work') || lower.includes('work permit required')) return 'No';\n return 'Not mentioned';\n}\n\nfunction extractCompanyInfo(desc) {\n const patterns = [/about\\s+(?:us|the\\s+company|our\\s+company)[:\\s]*([^.]+\\.)/i, /(?:we\\s+are|we're)\\s+(?:a|an)\\s+([^.]+\\.)/i];\n for (const p of patterns) {\n const m = desc.match(p);\n if (m && m[1] && m[1].length > 20) return m[1].trim().substring(0, 200);\n }\n const fundingMatch = desc.match(/(?:raised|funding|series\\s+[a-e]|seed\\s+round|venture|backed\\s+by)[^.]+\\./i);\n if (fundingMatch) return fundingMatch[0].trim().substring(0, 200);\n return '';\n}\n\nfunction extractCompanySize(desc) {\n const empMatch = desc.match(/(\\d[\\d,]*)\\+?\\s*(?:employees|team members|people|staff)/i);\n if (empMatch) {\n const num = parseInt(empMatch[1].replace(/,/g, ''));\n if (num < 50) return 'Startup (<50)';\n if (num < 200) return 'Small (50-200)';\n if (num < 1000) return 'Medium (200-1K)';\n if (num < 5000) return 'Large (1K-5K)';\n return 'Enterprise (5K+)';\n }\n const lower = desc.toLowerCase();\n if (lower.includes('startup') || lower.includes('early stage')) return 'Startup';\n if (lower.includes('fortune 500') || lower.includes('multinational')) return 'Enterprise (5K+)';\n return '';\n}\n\n// Category rules based on keywords\nfunction categorize(title, desc) {\n const t = (title + ' ' + desc).toLowerCase();\n if (t.includes('frontend') || t.includes('front-end') || t.includes('front end') || t.includes('react') || t.includes('angular') || t.includes('vue')) return 'Frontend';\n if (t.includes('backend') || t.includes('back-end') || t.includes('back end') || t.includes('django') || t.includes('spring') || t.includes('express') || t.includes('fastapi')) return 'Backend';\n if (t.includes('fullstack') || t.includes('full-stack') || t.includes('full stack')) return 'Fullstack';\n if (t.includes('devops') || t.includes('sre') || t.includes('infrastructure') || t.includes('kubernetes') || t.includes('terraform') || t.includes('ci/cd') || t.includes('platform engineer')) return 'DevOps';\n if (t.includes('data scientist') || t.includes('data engineer') || t.includes('data analyst') || t.includes('machine learning') || t.includes('ml engineer') || t.includes('ai ') || t.includes('analytics')) return 'Data';\n if (t.includes('mobile') || t.includes('ios') || t.includes('android') || t.includes('flutter') || t.includes('react native') || t.includes('swift') || t.includes('kotlin')) return 'Mobile';\n if (t.includes('design') || t.includes('ux') || t.includes('ui ') || t.includes('figma') || t.includes('product design')) return 'Design';\n if (t.includes('qa') || t.includes('quality') || t.includes('test') || t.includes('sdet') || t.includes('automation test')) return 'QA';\n if (t.includes('product manager') || t.includes('program manager') || t.includes('project manager') || t.includes('scrum') || t.includes('agile lead')) return 'PM';\n if (t.includes('marketing') || t.includes('seo') || t.includes('growth') || t.includes('content')) return 'Marketing';\n if (t.includes('sales') || t.includes('business development') || t.includes('account exec')) return 'Sales';\n if (t.includes('security') || t.includes('cybersec') || t.includes('infosec') || t.includes('penetration')) return 'Security';\n if (t.includes('cloud') || t.includes('aws') || t.includes('azure') || t.includes('gcp')) return 'Cloud';\n return 'Other';\n}\n\n// Synonym map - expand role to include similar titles\nconst SYNONYMS = {\n 'engineer': ['developer', 'programmer', 'coder', 'dev', 'sde', 'swe'],\n 'developer': ['engineer', 'programmer', 'coder', 'dev', 'sde', 'swe'],\n 'programmer': ['developer', 'engineer', 'coder', 'dev'],\n 'software': ['web', 'application', 'app', 'platform'],\n 'frontend': ['front-end', 'front end', 'ui', 'react', 'angular', 'vue', 'client-side'],\n 'backend': ['back-end', 'back end', 'server', 'api', 'server-side'],\n 'fullstack': ['full-stack', 'full stack', 'frontend', 'backend'],\n 'devops': ['sre', 'infrastructure', 'platform', 'cloud', 'reliability'],\n 'data': ['analytics', 'bi', 'machine learning', 'ml', 'ai'],\n 'mobile': ['ios', 'android', 'flutter', 'react native', 'app'],\n 'qa': ['test', 'quality', 'sdet', 'automation'],\n 'test': ['qa', 'quality', 'sdet', 'automation'],\n 'design': ['ux', 'ui', 'figma', 'product design', 'graphic'],\n 'manager': ['lead', 'head', 'director', 'principal', 'senior'],\n 'lead': ['manager', 'head', 'principal', 'senior', 'staff'],\n 'senior': ['sr', 'lead', 'principal', 'staff', 'experienced'],\n 'junior': ['jr', 'entry', 'associate', 'trainee', 'intern', 'fresher'],\n 'architect': ['principal', 'staff', 'lead engineer', 'technical lead'],\n 'analyst': ['associate', 'consultant', 'specialist'],\n 'consultant': ['analyst', 'advisor', 'specialist'],\n 'security': ['cybersecurity', 'infosec', 'appsec', 'penetration'],\n 'cloud': ['aws', 'azure', 'gcp', 'infrastructure', 'devops'],\n 'product': ['pm', 'program', 'project'],\n 'marketing': ['growth', 'seo', 'content', 'digital'],\n 'sales': ['business development', 'account', 'revenue']\n};\n\nfunction expandRole(role) {\n const words = role.toLowerCase().split(/[\\s,\\/]+/).filter(w => w.length > 1);\n const expanded = new Set(words);\n for (const w of words) {\n if (SYNONYMS[w]) {\n SYNONYMS[w].forEach(s => expanded.add(s));\n }\n }\n return [...expanded];\n}\n\n// Relevance scoring with synonym expansion\nfunction scoreJob(title, desc, role, stack) {\n let score = 0;\n const titleLower = title.toLowerCase();\n const descLower = desc.toLowerCase();\n const expandedRole = expandRole(role);\n const stackWords = stack.toLowerCase().split(/[\\s,\\/]+/).filter(w => w.length > 1);\n\n // Title matches (highest weight)\n for (const w of expandedRole) {\n if (titleLower.includes(w)) score += 25;\n }\n for (const w of stackWords) {\n if (titleLower.includes(w)) score += 20;\n }\n\n // Description matches\n for (const w of expandedRole) {\n if (descLower.includes(w)) score += 8;\n }\n for (const w of stackWords) {\n if (descLower.includes(w)) score += 12;\n }\n\n // Normalize to 0-100\n const maxPossible = (expandedRole.length * 33) + (stackWords.length * 32);\n return maxPossible > 0 ? Math.min(100, Math.round((score / maxPossible) * 100)) : 50;\n}\n\nconst normalized = items.map(item => {\n const d = item.json;\n if (d._jobRole || d.error || d.statusCode >= 400 || (typeof d === 'string')) return [];\n\n // Remotive\n if (d.jobs && !Array.isArray(d.data) && !d.jobTitle && !d.companyName) {\n return d.jobs.map(j => {\n const desc = clean(j.description || '');\n return { json: {\n title: j.title || '', company: j.company_name || '', link: j.url || '',\n description: desc.substring(0, 800), posted_date: j.publication_date || '',\n source: 'Remotive', location: j.candidate_required_location || 'Remote',\n salary: extractSalary(desc, j), job_type: (j.job_type || '').replace(/_/g, ' ') || 'Not mentioned',\n visa_sponsored: extractVisa(desc), company_size: extractCompanySize(desc), company_info: extractCompanyInfo(desc)\n }};\n });\n }\n\n // Arbeitnow\n if (d.data && Array.isArray(d.data)) {\n return d.data.map(j => {\n const desc = clean(j.description || '');\n return { json: {\n title: j.title || '', company: j.company_name || '', link: j.url || '',\n description: desc.substring(0, 800), posted_date: j.created_at || '',\n source: 'Arbeitnow', location: j.location || (j.remote ? 'Remote' : 'Not mentioned'),\n salary: extractSalary(desc, j), job_type: j.remote ? 'Remote' : 'On-site',\n visa_sponsored: extractVisa(desc), company_size: extractCompanySize(desc), company_info: extractCompanyInfo(desc)\n }};\n });\n }\n\n // Jobicy\n if (d.jobs && Array.isArray(d.jobs) && d.jobs[0] && d.jobs[0].jobTitle) {\n return d.jobs.map(j => {\n const desc = clean(j.jobDescription || '');\n return { json: {\n title: j.jobTitle || '', company: j.companyName || '', link: j.url || '',\n description: desc.substring(0, 800), posted_date: j.pubDate || '',\n source: 'Jobicy', location: j.jobGeo || 'Remote',\n salary: extractSalary(desc, j), job_type: (Array.isArray(j.jobType) ? j.jobType.join(', ') : j.jobType) || 'Not mentioned',\n visa_sponsored: extractVisa(desc), company_size: extractCompanySize(desc), company_info: extractCompanyInfo(desc)\n }};\n });\n }\n\n // LinkedIn (positionName)\n if (d.positionName || (d.title && d.companyName && d.link)) {\n const desc = clean(d.descriptionText || d.description || '');\n return [{ json: {\n title: d.positionName || d.title || '', company: d.companyName || d.company || '',\n link: d.link || d.applyUrl || d.url || '',\n description: desc.substring(0, 800), posted_date: d.postedAt || d.publishedAt || d.postedTime || '',\n source: 'LinkedIn', location: d.location || d.formattedLocation || 'Not mentioned',\n salary: d.salary || extractSalary(desc, d), job_type: d.contractType || d.employmentType || d.workType || 'Not mentioned',\n visa_sponsored: extractVisa(desc), company_size: d.companySize || extractCompanySize(desc),\n company_info: d.companyDescription ? clean(d.companyDescription).substring(0, 200) : extractCompanyInfo(desc)\n }}];\n }\n\n // Naukri (Job Title)\n if (d.jobId || d['Job Title'] || (d.title && d.jdURL)) {\n const desc = clean(d.Description || d.description || d.jobDescription || d['Job Description'] || '');\n return [{ json: {\n title: d['Job Title'] || d.title || d.designation || '',\n company: d.Company || d['Company Name'] || d.companyName || d.company || '',\n link: d['Job URL'] || d.jdURL || d.url || '', description: desc.substring(0, 800),\n posted_date: d['Posted Time'] || d.createdDate || d.postedDate || d['Posted Date'] || '',\n source: 'Naukri',\n location: d['Location'] || d.placeholders?.find(p => p.type === 'location')?.label || d.location || 'Not mentioned',\n salary: d['Salary'] || d.placeholders?.find(p => p.type === 'salary')?.label || d.salary || extractSalary(desc, d),\n job_type: d['Experience'] || d.placeholders?.find(p => p.type === 'experience')?.label || 'Not mentioned',\n visa_sponsored: extractVisa(desc),\n company_size: d.ambitionBoxData?.CompanySize || d['Company Size'] || extractCompanySize(desc),\n company_info: d.ambitionBoxData?.About ? clean(d.ambitionBoxData.About).substring(0, 200) : extractCompanyInfo(desc)\n }}];\n }\n\n // Fallback\n const desc = clean(d.description || d.jobDescription || '');\n if (!d.title && !d.jobTitle && !d.positionName) return [];\n return [{ json: {\n title: d.title || d.jobTitle || d.positionName || '',\n company: d.company || d.company_name || d.companyName || '',\n link: d.url || d.link || '', description: desc.substring(0, 800),\n posted_date: d.publication_date || d.created_at || d.pubDate || d.postedAt || '',\n source: 'Other', location: d.candidate_required_location || d.location || d.jobGeo || 'Not mentioned',\n salary: extractSalary(desc, d), job_type: d.job_type || d.jobType || 'Not mentioned',\n visa_sponsored: extractVisa(desc), company_size: extractCompanySize(desc), company_info: extractCompanyInfo(desc)\n }}];\n});\n\n// Flatten, score, categorize, filter, sort\nconst flat = normalized.flat().filter(i => i.json && i.json.title);\nconst scored = flat.map(item => {\n const j = item.json;\n const relevance = scoreJob(j.title, j.description, jobRole, techStack);\n const category = categorize(j.title, j.description);\n return { json: { ...j, relevance: relevance + '%', category } };\n});\n\n// Filter: must have at least 1 expanded role keyword in title or description\nconst expandedRoleWords = expandRole(jobRole);\nconst filtered = scored.filter(item => {\n const rel = parseInt(item.json.relevance);\n if (rel >= 10) return true;\n const titleLower = item.json.title.toLowerCase();\n const descLower = (item.json.description || '').toLowerCase();\n return expandedRoleWords.some(w => titleLower.includes(w) || descLower.includes(w));\n});\n\n// Sort by relevance (highest first), then by date\nfiltered.sort((a, b) => {\n const ra = parseInt(a.json.relevance);\n const rb = parseInt(b.json.relevance);\n if (rb !== ra) return rb - ra;\n return new Date(b.json.posted_date || 0) - new Date(a.json.posted_date || 0);\n});\n\nreturn filtered;" }, "typeVersion": 2 }, { "id": "5586ed3e-4466-4873-9d3f-3a74a9f082fb", "name": "Google Sheets", "type": "n8n-nodes-base.googleSheets", "position": [ 11696, 9888 ], "parameters": { "columns": { "value": { "Link": "={{ $json.link }}", "Salary": "={{ $json.salary }}", "Source": "={{ $json.source }}", "Company": "={{ $json.company }}", "Category": "={{ $json.category }}", "Job Type": "={{ $json.job_type }}", "Location": "={{ $json.location }}", "Job Title": "={{ $json.title }}", "Relevance": "={{ $json.relevance }}", "Date Posted": "={{ $json.posted_date }}", "Company Size": "={{ $json.company_size }}", "Visa Sponsored": "={{ $json.visa_sponsored }}", "Company Info / Funding": "={{ $json.company_info }}" }, "mappingMode": "defineBelow" }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "name", "value": "Sheet1" }, "documentId": { "__rl": true, "mode": "id", "value": "YOUR_SHEET_ID_HERE" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4 }, { "id": "bc6daee0-891e-48da-af5d-e45d5f8721d1", "name": "Sticky Note: Trigger", "type": "n8n-nodes-base.stickyNote", "position": [ 9600, 9648 ], "parameters": { "color": 3, "width": 432, "height": 424, "content": "### User Inputs & Trigger\n- **Form Trigger**: Collects user job search preferences:\n 1. **Job Role** (e.g. *Software Engineer*)\n 2. **Tech Stack** (e.g. *React, Node.js*)\n 3. **Country** (Dropdown selection)\n- **Store Form Input**: Saves these values to variables (`_jobRole`, `_techStack`, `_country`) for downstream APIs." }, "typeVersion": 1 }, { "id": "7a1fc04d-f93c-49a5-8f05-3298960746fe", "name": "Sticky Note: Scrapers", "type": "n8n-nodes-base.stickyNote", "position": [ 10064, 9360 ], "parameters": { "color": 2, "width": 268, "height": 1176, "content": "### Parallel Job Scrapers\nFetches job listings from 5 sources:\n- **Remotive** (Free API, Remote)\n- **Arbeitnow** (Free API, Germany/Europe)\n- **Jobicy** (Free API, Remote Focus)\n- **Apify LinkedIn** (Paid Scraper, Country-specific)\n- **Apify Naukri** (Paid Scraper, India/Global)" }, "typeVersion": 1 }, { "id": "6e27df1e-cd80-44b4-b489-cbd77e4d36df", "name": "Sticky Note: Merge", "type": "n8n-nodes-base.stickyNote", "position": [ 10368, 9552 ], "parameters": { "color": 7, "width": 736, "height": 678, "content": "### Data Consolidation (Merge Chain)\n- Sequentially appends arrays from all 5 scraper nodes.\n- Ensures all job listings are merged into a single downstream stream before normalization and scoring." }, "typeVersion": 1 }, { "id": "ad6f0ee0-626d-4109-b96c-3e66b81a8035", "name": "Sticky Note: Scoring", "type": "n8n-nodes-base.stickyNote", "position": [ 11104, 9664 ], "parameters": { "color": 4, "width": 384, "height": 362, "content": "### Normalize, Score & Sort\nRuns custom JavaScript to:\n- **Normalize**: Parse fields like salary, visa support, company size across all API schemas.\n- **Score Relevance**: Rank matching based on user-requested role and tech stack (using synonym expansion).\n- **Filter**: Drop highly irrelevant jobs.\n- **Sort**: Order by highest relevance and post date." }, "typeVersion": 1 }, { "id": "a6235494-8420-4a7b-8046-d09e71bbb0da", "name": "Sticky Note: Sheets", "type": "n8n-nodes-base.stickyNote", "position": [ 11584, 9696 ], "parameters": { "color": 2, "width": 280, "height": 344, "content": "### Google Sheets Output\n- Enter your Google Sheet ID .\n\nhttps://docs.google.com/spreadsheets/d//edit?gid=0#gid=0" }, "typeVersion": 1 }, { "id": "f8af41f0-ee2e-4086-b15b-975f0eed96d0", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 9008, 9472 ], "parameters": { "width": 400, "height": 384, "content": "## Pre requisites\n\nThis is a simple way to get job details for the job listings directly in your spreadsheet\n\n- go to Apify and create a free account .\n- link - https://console.apify.com/\n- to get your api key go to - https://console.apify.com/settings/integrations\n\n- approve the naukri actor to work using this link-https://console.apify.com/actors/GLb4E7UrStD7XLJxO?approvePermissions=true\n" }, "typeVersion": 1 }, { "id": "e3cb9f0f-c4d6-47fa-940d-346169b2632d", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 9600, 10128 ], "parameters": { "color": 4, "width": 688, "height": 400, "content": "## Configure this two nodes\n\n- replace the URL to link -\n\nlinkedin - https://api.apify.com/v2/acts/hMvNSpz3JnHgl5jkh/run-sync-get-dataset-items?token=&timeout=120\n\nnaukri - https://api.apify.com/v2/acts/codemaverick~naukri-job-scraper-latest/run-sync-get-dataset-items?token=&timeout=120" }, "typeVersion": 1 } ], "active": false, "settings": { "binaryMode": "separate", "executionOrder": "v1" }, "versionId": "244e3b51-0b2b-4c67-8646-79fd2006e460", "connections": { "Merge All": { "main": [ [ { "node": "Normalize Score and Sort", "type": "main", "index": 0 } ] ] }, "Form Trigger": { "main": [ [ { "node": "Store Form Input", "type": "main", "index": 0 } ] ] }, "Scrape Jobicy": { "main": [ [ { "node": "Merge Free + Jobicy", "type": "main", "index": 1 } ] ] }, "Merge Free APIs": { "main": [ [ { "node": "Merge Free + Jobicy", "type": "main", "index": 0 } ] ] }, "Scrape Remotive": { "main": [ [ { "node": "Merge Free APIs", "type": "main", "index": 0 } ] ] }, "Merge + LinkedIn": { "main": [ [ { "node": "Merge All", "type": "main", "index": 0 } ] ] }, "Scrape Arbeitnow": { "main": [ [ { "node": "Merge Free APIs", "type": "main", "index": 1 } ] ] }, "Store Form Input": { "main": [ [ { "node": "Scrape Remotive", "type": "main", "index": 0 }, { "node": "Scrape Arbeitnow", "type": "main", "index": 0 }, { "node": "Scrape Jobicy", "type": "main", "index": 0 }, { "node": "Apify LinkedIn Jobs", "type": "main", "index": 0 }, { "node": "Apify Naukri Jobs", "type": "main", "index": 0 } ] ] }, "Apify Naukri Jobs": { "main": [ [ { "node": "Merge All", "type": "main", "index": 1 } ] ] }, "Apify LinkedIn Jobs": { "main": [ [ { "node": "Merge + LinkedIn", "type": "main", "index": 1 } ] ] }, "Merge Free + Jobicy": { "main": [ [ { "node": "Merge + LinkedIn", "type": "main", "index": 0 } ] ] }, "Normalize Score and Sort": { "main": [ [ { "node": "Google Sheets", "type": "main", "index": 0 } ] ] } } }