This workflow follows the Googlegemini → Telegram recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Your Job Finder Companion",
"nodes": [
{
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"type": "n8n-nodes-base.telegramTrigger",
"typeVersion": 1.2,
"position": [
-2320,
728
],
"id": "28d77024-9a0a-45c2-9cc4-6a93d7ab0ab4",
"name": "Telegram Trigger",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "marketplaceDataset",
"operation": "filterDataset",
"dataset_id": {
"__rl": true,
"value": "gd_lpfll7v5hcqtkxl6l",
"mode": "list",
"cachedResultName": "Linkedin job listings information"
},
"records_limit": 1,
"filter_type": "filters_group",
"filters_group": "={\n \"operator\": \"and\",\n \"filters\": [\n {\n \"name\": \"job_title\",\n \"operator\": \"includes\",\n \"value\": \"{{ $json[\"role value\"] }}\"\n },\n {\n \"name\": \"country_code\",\n \"operator\": \"=\",\n \"value\": \"{{ $json[\"country value\"] }}\"\n },\n {\n \"name\": \"application_availability\",\n \"operator\": \"=\",\n \"value\": true\n },\n {\n \"name\": \"url\",\n \"operator\": \"includes\",\n \"value\": \"http\"\n },\n {\n \"name\": \"job_posted_date\",\n \"operator\": \">\",\n \"value\": \"{{ new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString() }}\"\n }\n ]\n}\n",
"requestOptions": {}
},
"type": "@brightdata/n8n-nodes-brightdata.brightData",
"typeVersion": 1,
"position": [
-1872,
536
],
"id": "4aedfd9c-74fc-44ea-b50d-06682427e4b6",
"name": "Create LinkedIn Snapshot",
"credentials": {
"brightdataApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "marketplaceDataset",
"operation": "filterDataset",
"dataset_id": {
"__rl": true,
"value": "gd_lpfbbndm1xnopbrcr0",
"mode": "list",
"cachedResultName": "Glassdoor job listings information"
},
"records_limit": 1,
"filter_type": "filters_group",
"filters_group": "={\n \"operator\": \"and\",\n \"filters\": [\n {\n \"name\": \"job_title\",\n \"operator\": \"includes\",\n \"value\": \"{{ $json[\"role value\"] }}\"\n }\n ]\n}",
"requestOptions": {}
},
"type": "@brightdata/n8n-nodes-brightdata.brightData",
"typeVersion": 1,
"position": [
-1872,
920
],
"id": "14c7b3ae-4605-45e3-934d-a67d815d40ab",
"name": "Create Glassdoor Snapshot",
"credentials": {
"brightdataApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "marketplaceDataset",
"operation": "getSnapshotMetadata",
"snapshot_id": "={{ $json.snapshot_id }}",
"requestOptions": {}
},
"type": "@brightdata/n8n-nodes-brightdata.brightData",
"typeVersion": 1,
"position": [
-1648,
632
],
"id": "33a72a2f-e756-4c80-b726-96fb4a6522ac",
"name": "Get Snapshot Metadata",
"credentials": {
"brightdataApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "59bd40ef-632a-43a1-83b6-d35509d3abc0",
"leftValue": "={{ $json.status }}",
"rightValue": "ready",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
-1424,
536
],
"id": "ee735f6d-837e-4cb1-9bd5-10b60b7cea1a",
"name": "Check if Snapshot is ready"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "b01ce2b2-1753-4927-a22a-005bbcc7732f",
"leftValue": "={{ $json.status }}",
"rightValue": "failed",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
-1200,
680
],
"id": "0d71c558-9f3d-40fd-9f63-e74f3a2fa4d6",
"name": "Check Snapshot Status"
},
{
"parameters": {
"chatId": "385394465",
"text": "\u274c _Sorry, no job listings available for the specified keyword within the last 24 hours._",
"additionalFields": {
"parse_mode": "Markdown"
}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
-976,
584
],
"id": "a655ae4f-f2a7-4b51-9ba2-2848e23b624b",
"name": "No job listing found notification",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"amount": 10
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
-976,
776
],
"id": "d54e2b3e-c8ed-4d51-8cef-b21a36f97c31",
"name": "Wait 10 seconds"
},
{
"parameters": {
"jsCode": "const items = $input.all();\nconst updatedItems = items.map((item) => {\n return { snapshot_id: item?.json?.id };\n});\nreturn updatedItems;\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-752,
944
],
"id": "9aee3dcc-0326-4428-a5ad-867b4b35a834",
"name": "Parse Snapshot ID"
},
{
"parameters": {
"resource": "marketplaceDataset",
"operation": "getSnapshotContent",
"snapshot_id": "={{ $json.id }}",
"requestOptions": {}
},
"type": "@brightdata/n8n-nodes-brightdata.brightData",
"typeVersion": 1,
"position": [
-1200,
272
],
"id": "2fdbb067-b9b8-4ff1-9656-611b0f61e5ca",
"name": "Retrieve Snapshot data",
"credentials": {
"brightdataApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $json.url }}",
"rightValue": "linkedin",
"operator": {
"type": "string",
"operation": "contains"
},
"id": "9b856808-4cbe-47e6-8f3e-3f0e74c8e1fb"
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "linkedin"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "8ba5b1d8-89e7-44b3-a5b6-e96da54e4107",
"leftValue": "={{ $json.url }}",
"rightValue": "indeed",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "indeed"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "e622832f-168c-4fb0-87fc-31fd1c4489b1",
"leftValue": "={{ $json.url }}",
"rightValue": "glassdoor",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "glassdoor"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
-752,
328
],
"id": "a3278a20-310b-483f-9aee-9e52861db10a",
"name": "Platform Mapping"
},
{
"parameters": {
"chatId": "385394465",
"text": "=\ud83c\udfaf **LinkedIn Job Found**\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n\n\ud83c\udfe2 **{{ $json.company_name }}**\n\ud83d\udcbc **{{ $json.job_title }}**\n\ud83d\udccd {{ $json.job_location }}\n\ud83d\udcb0 {{ $json.job_base_pay_range || 'Not disclosed' }}\n\n\ud83d\udc65 **Current Applicants:** {{ $json.job_num_applicants || '0' }} candidates\n\ud83d\udcc5 **Posted:** {{ $json.job_posted_time || 'Recently' }}\n\n\ud83e\udd16 **AI Analysis:**\n{{ $json.ai_analysis }}\n\n\ud83d\udd17 **Apply:** https://www.linkedin.com/jobs/view/{{ $json.url.match(/view\\/(?:.*?-)?(\\d+)(?:\\?|$)/)?.[1] || $json.url.match(/(\\d{10})/)?.[1] || $json.url.match(/(\\d+)/)?.[1] }}\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n",
"additionalFields": {
"parse_mode": "Markdown"
}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
48,
352
],
"id": "eed2dca4-c7bf-406b-9b94-221ba1e4e67a",
"name": "Send LinkedIn Job",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"chatId": "385394465",
"text": "=\ud83d\udcbc **Indeed Job Found**\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n\n\ud83c\udfe2 **{{ $json.company_name || 'Company Name Not Available' }}**\n\ud83d\udcbc **{{ $json.job_title }}**\n\ud83d\udccd {{ $json.location || $json.job_location }}\n\ud83d\udcb0 {{ $json.salary_formatted || 'Not disclosed' }}\n\n\ud83e\udd16 **AI Analysis:**\n{{ $json.ai_analysis }}\n\n\ud83d\udd17 **Apply:** {{ $json.url }}\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501",
"additionalFields": {
"parse_mode": "Markdown"
}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
48,
544
],
"id": "ad03a037-4482-4c24-984d-7893f7f960c3",
"name": "Send Indeed Job",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"chatId": "385394465",
"text": "=\ud83c\udfc6 **Glassdoor Job Found**\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n\n\ud83c\udfe2 **{{ $json.company_name }}**\n\ud83d\udcbc **{{ $json.job_title }}**\n\ud83d\udccd {{ $json.job_location }}\n\ud83d\udcb0 {{ '$('+$json.pay_range_Employer_est+')' || '$('+$json.pay_median_employer+')' || 'Not disclosed' }}\n\n\ud83e\udd16 **AI Analysis:**\n{{ $json.ai_analysis }}\n\n\ud83d\udd17 **Apply:** [Link]({{ $json.url }})\n\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n",
"additionalFields": {
"parse_mode": "Markdown"
}
},
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
48,
736
],
"id": "e44039e8-39e9-4c25-92b8-39b16a1c9ff4",
"name": "Send Glassdoor Job",
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "marketplaceDataset",
"operation": "filterDataset",
"dataset_id": {
"__rl": true,
"value": "gd_l4dx9j9sscpvs7no2",
"mode": "list",
"cachedResultName": "Indeed job listings information"
},
"records_limit": 1,
"filter_type": "filters_group",
"filters_group": "={\n \"operator\": \"and\",\n \"filters\": [\n {\n \"name\": \"job_title\",\n \"operator\": \"includes\",\n \"value\": \"{{ $json[\"role value\"] }}\"\n },\n {\n \"name\": \"country\",\n \"operator\": \"=\",\n \"value\": \"{{ $json[\"country value\"] }}\"\n },\n {\n \"name\": \"date_posted\",\n \"operator\": \"=\",\n \"value\": \"Just posted\"\n }\n ]\n}",
"requestOptions": {}
},
"type": "@brightdata/n8n-nodes-brightdata.brightData",
"typeVersion": 1,
"position": [
-1872,
728
],
"id": "1529f862-6e47-4c5a-aa1d-0a0cdcf591fd",
"name": "Create Indeed Snapshot",
"credentials": {
"brightdataApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const items = $input.all();\n\nconst updatedItems = items.map((item) => {\n const text = item?.json?.message?.text || \"\";\n const splitText = text.split(\"-\").map(s => s.trim());\n\n return {\n json: {\n \"role value\": splitText[0] || \"\",\n \"country value\": splitText[1] || \"\"\n }\n };\n});\n\nreturn updatedItems;\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-2096,
728
],
"id": "cc3b605c-9899-400f-b6c2-3efdf4745ce5",
"name": "Convert Chat Message"
},
{
"parameters": {
"resource": "marketplaceDataset",
"operation": "getSnapshotContent",
"snapshot_id": "={{ $('Check if Snapshot is ready').item.json.id }}",
"requestOptions": {}
},
"type": "@brightdata/n8n-nodes-brightdata.brightData",
"typeVersion": 1,
"position": [
-464,
152
],
"id": "28ff7226-9a43-45a5-891a-6c754d837fa1",
"name": "Retrieve Again Snapshot Data",
"credentials": {
"brightdataApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "f00caffe-86cd-4434-85b4-8c667aed7598",
"leftValue": "={{ JSON.stringify($json) }}",
"rightValue": "Snapshot is building",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
-976,
272
],
"id": "9980349d-73fe-4cdf-9e47-df1fbc8ad2cd",
"name": "Check if Snapshot Data is ready"
},
{
"parameters": {},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
-752,
48
],
"id": "92e54d88-2d50-4317-bfd5-486c4f3be143",
"name": "Wait 5 seconds"
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "models/gemini-2.5-flash",
"mode": "list",
"cachedResultName": "models/gemini-2.5-flash"
},
"messages": {
"values": [
{
"content": "=Analyze this job listing and provide a comprehensive review in paragraph format.\n\nJob Data: {{ JSON.stringify($json) }}\n\nProvide insights about:\n- Overall opportunity score (1-100)\n- Company analysis (reputation, industry, culture indicators)\n- Salary assessment and competitiveness\n- Role requirements and standards\n- Benefits and perks mentioned\n\nFormat as natural paragraphs, starting with \"SCORE: [number]\" then flowing text about the company and opportunity.\n\nKeep the response informative but concise (under 500 characters for Telegram).\n"
}
]
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
-528,
352
],
"id": "6e895014-1e2b-46b1-aa37-2b959edcaae7",
"name": "Analyze LinkedIn Job Listing",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "models/gemini-2.5-flash",
"mode": "list",
"cachedResultName": "models/gemini-2.5-flash"
},
"messages": {
"values": [
{
"content": "=Analyze this job listing and provide a comprehensive review in paragraph format.\n\nJob Data: {{ JSON.stringify($json) }}\n\nProvide insights about:\n- Overall opportunity score (1-100)\n- Company analysis (reputation, industry, culture indicators)\n- Salary assessment and competitiveness\n- Role requirements and standards\n- Benefits and perks mentioned\n\nFormat as natural paragraphs, starting with \"SCORE: [number]\" then flowing text about the company and opportunity.\n\nKeep the response informative but concise (under 500 characters for Telegram).\n"
}
]
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
-528,
544
],
"id": "dfd16d6d-32a2-48a5-8fe5-1bba44148cee",
"name": "Analyze Indeed Job Listing",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "models/gemini-2.5-flash",
"mode": "list",
"cachedResultName": "models/gemini-2.5-flash"
},
"messages": {
"values": [
{
"content": "=Analyze this job listing and provide a comprehensive review in paragraph format.\n\nJob Data: {{ JSON.stringify($json) }}\n\nProvide insights about:\n- Overall opportunity score (1-100)\n- Company analysis (reputation, industry, culture indicators)\n- Salary assessment and competitiveness\n- Role requirements and standards\n- Benefits and perks mentioned\n\nFormat as natural paragraphs, starting with \"SCORE: [number]\" then flowing text about the company and opportunity.\n\nKeep the response informative but concise (under 500 characters for Telegram).\n"
}
]
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
-528,
736
],
"id": "0e33339a-d1b3-41f4-9fa4-b50fc940ca29",
"name": "Analyze Glassdoor Job Listing",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "// Get original job data from Platform Mapping\nconst jobData = $('Platform Mapping').item.json;\n\n// Get AI response\nlet aiResponse = '';\ntry {\n if ($json[0] && $json[0].content && $json[0].content.parts && $json[0].content.parts[0]) {\n aiResponse = $json[0].content.parts[0].text;\n } else if ($json.content && $json.content.parts && $json.content.parts[0]) {\n aiResponse = $json.content.parts[0].text;\n }\n} catch (e) {\n aiResponse = 'AI analysis temporarily unavailable';\n}\n\n// Enhanced formatting function\nfunction formatAIAnalysis(text) {\n if (!text) return 'Analysis not available';\n \n // Find score\n const scoreMatch = text.match(/SCORE:\\s*(\\d+)/i);\n const score = scoreMatch ? scoreMatch[1] : 'N/A';\n \n // Extract description (everything after SCORE: XX.)\n let description = text.replace(/SCORE:\\s*\\d+\\.?\\s*/i, '').trim();\n \n // Clean up any extra periods or spaces at the beginning\n description = description.replace(/^\\.+\\s*/, '');\n \n // Format with bullet points\n return `- SCORE: ${score}\\n- ${description}`;\n}\n\nreturn {\n ...jobData,\n ai_analysis: formatAIAnalysis(aiResponse)\n};\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-176,
352
],
"id": "175212db-02fb-4cde-a764-5680630f917e",
"name": "Merge Response Data with AI - LinkedIn"
},
{
"parameters": {
"jsCode": "// Get original job data from Platform Mapping\nconst jobData = $('Platform Mapping').item.json;\n\n// Get AI response\nlet aiResponse = '';\ntry {\n if ($json[0] && $json[0].content && $json[0].content.parts && $json[0].content.parts[0]) {\n aiResponse = $json[0].content.parts[0].text;\n } else if ($json.content && $json.content.parts && $json.content.parts[0]) {\n aiResponse = $json.content.parts[0].text;\n }\n} catch (e) {\n aiResponse = 'AI analysis temporarily unavailable';\n}\n\n// Enhanced formatting function\nfunction formatAIAnalysis(text) {\n if (!text) return 'Analysis not available';\n \n // Find score\n const scoreMatch = text.match(/SCORE:\\s*(\\d+)/i);\n const score = scoreMatch ? scoreMatch[1] : 'N/A';\n \n // Extract description (everything after SCORE: XX.)\n let description = text.replace(/SCORE:\\s*\\d+\\.?\\s*/i, '').trim();\n \n // Clean up any extra periods or spaces at the beginning\n description = description.replace(/^\\.+\\s*/, '');\n \n // Format with bullet points\n return `- SCORE: ${score}\\n- ${description}`;\n}\n\nreturn {\n ...jobData,\n ai_analysis: formatAIAnalysis(aiResponse)\n};\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-176,
544
],
"id": "a6fa4f95-3065-4b73-84c1-849e65e0270e",
"name": "Merge Response Data with AI - Indeed"
},
{
"parameters": {
"jsCode": "// Get original job data from Platform Mapping\nconst jobData = $('Platform Mapping').item.json;\n\n// Get AI response\nlet aiResponse = '';\ntry {\n if ($json[0] && $json[0].content && $json[0].content.parts && $json[0].content.parts[0]) {\n aiResponse = $json[0].content.parts[0].text;\n } else if ($json.content && $json.content.parts && $json.content.parts[0]) {\n aiResponse = $json.content.parts[0].text;\n }\n} catch (e) {\n aiResponse = 'AI analysis temporarily unavailable';\n}\n\n// Enhanced formatting function\nfunction formatAIAnalysis(text) {\n if (!text) return 'Analysis not available';\n \n // Find score\n const scoreMatch = text.match(/SCORE:\\s*(\\d+)/i);\n const score = scoreMatch ? scoreMatch[1] : 'N/A';\n \n // Extract description (everything after SCORE: XX.)\n let description = text.replace(/SCORE:\\s*\\d+\\.?\\s*/i, '').trim();\n \n // Clean up any extra periods or spaces at the beginning\n description = description.replace(/^\\.+\\s*/, '');\n \n // Format with bullet points\n return `- SCORE: ${score}\\n- ${description}`;\n}\n\nreturn {\n ...jobData,\n ai_analysis: formatAIAnalysis(aiResponse)\n};\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-176,
736
],
"id": "2e6ff7f0-5937-4d05-9f97-211cd9fae3a9",
"name": "Merge Response Data with AI - Glassdoor"
}
],
"connections": {
"Telegram Trigger": {
"main": [
[
{
"node": "Convert Chat Message",
"type": "main",
"index": 0
}
]
]
},
"Create LinkedIn Snapshot": {
"main": [
[
{
"node": "Get Snapshot Metadata",
"type": "main",
"index": 0
}
]
]
},
"Create Glassdoor Snapshot": {
"main": [
[
{
"node": "Get Snapshot Metadata",
"type": "main",
"index": 0
}
]
]
},
"Get Snapshot Metadata": {
"main": [
[
{
"node": "Check if Snapshot is ready",
"type": "main",
"index": 0
}
]
]
},
"Check if Snapshot is ready": {
"main": [
[
{
"node": "Retrieve Snapshot data",
"type": "main",
"index": 0
}
],
[
{
"node": "Check Snapshot Status",
"type": "main",
"index": 0
}
]
]
},
"Check Snapshot Status": {
"main": [
[
{
"node": "No job listing found notification",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 10 seconds",
"type": "main",
"index": 0
}
]
]
},
"Wait 10 seconds": {
"main": [
[
{
"node": "Parse Snapshot ID",
"type": "main",
"index": 0
}
]
]
},
"Parse Snapshot ID": {
"main": [
[
{
"node": "Get Snapshot Metadata",
"type": "main",
"index": 0
}
]
]
},
"Platform Mapping": {
"main": [
[
{
"node": "Analyze LinkedIn Job Listing",
"type": "main",
"index": 0
}
],
[
{
"node": "Analyze Indeed Job Listing",
"type": "main",
"index": 0
}
],
[
{
"node": "Analyze Glassdoor Job Listing",
"type": "main",
"index": 0
}
]
]
},
"Retrieve Snapshot data": {
"main": [
[
{
"node": "Check if Snapshot Data is ready",
"type": "main",
"index": 0
}
]
]
},
"Create Indeed Snapshot": {
"main": [
[
{
"node": "Get Snapshot Metadata",
"type": "main",
"index": 0
}
]
]
},
"Convert Chat Message": {
"main": [
[
{
"node": "Create Glassdoor Snapshot",
"type": "main",
"index": 0
},
{
"node": "Create Indeed Snapshot",
"type": "main",
"index": 0
},
{
"node": "Create LinkedIn Snapshot",
"type": "main",
"index": 0
}
]
]
},
"Retrieve Again Snapshot Data": {
"main": [
[
{
"node": "Check if Snapshot Data is ready",
"type": "main",
"index": 0
}
]
]
},
"Check if Snapshot Data is ready": {
"main": [
[
{
"node": "Wait 5 seconds",
"type": "main",
"index": 0
}
],
[
{
"node": "Platform Mapping",
"type": "main",
"index": 0
}
]
]
},
"Wait 5 seconds": {
"main": [
[
{
"node": "Retrieve Again Snapshot Data",
"type": "main",
"index": 0
}
]
]
},
"Analyze LinkedIn Job Listing": {
"main": [
[
{
"node": "Merge Response Data with AI - LinkedIn",
"type": "main",
"index": 0
}
]
]
},
"Analyze Indeed Job Listing": {
"main": [
[
{
"node": "Merge Response Data with AI - Indeed",
"type": "main",
"index": 0
}
]
]
},
"Analyze Glassdoor Job Listing": {
"main": [
[
{
"node": "Merge Response Data with AI - Glassdoor",
"type": "main",
"index": 0
}
]
]
},
"Merge Response Data with AI - LinkedIn": {
"main": [
[
{
"node": "Send LinkedIn Job",
"type": "main",
"index": 0
}
]
]
},
"Merge Response Data with AI - Indeed": {
"main": [
[
{
"node": "Send Indeed Job",
"type": "main",
"index": 0
}
]
]
},
"Merge Response Data with AI - Glassdoor": {
"main": [
[
{
"node": "Send Glassdoor Job",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "31e84431-140c-40ee-aac9-c9d463f252d1",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "DmiNaX4zUJkKG8nY",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
brightdataApigooglePalmApitelegramApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Your Job Finder Companion. Uses telegramTrigger, @brightdata/n8n-nodes-brightdata, telegram, googleGemini. Event-driven trigger; 25 nodes.
Source: https://gist.github.com/depapp/fd2f692b056c91706b1f322f708f1efa — original creator credit. Request a take-down →
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