Zain Khan This workflow corresponds to n8n.io template #17397 — we link there as the canonical source.
The workflow JSON
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{
"id": "mmmwxbhqMNBbYGXN",
"name": "Workflow 4 - Job Board Aggregator",
"tags": [],
"nodes": [
{
"id": "c1e723cb-3a63-4806-97b9-2b6b198271b6",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-976,
16
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 8
}
]
}
},
"typeVersion": 1.2
},
{
"id": "2a14399a-6aaa-48a5-b273-e4626edd4160",
"name": "Set Search Variables",
"type": "n8n-nodes-base.set",
"position": [
-752,
16
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "kw1",
"name": "keyword",
"type": "string",
"value": "Digital Marketing Manager"
},
{
"id": "loc1",
"name": "location",
"type": "string",
"value": "Lahore, Pakistan"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "37cb6fac-27e3-432b-90a5-b0b7e1a00205",
"name": "Build Search URLs",
"type": "n8n-nodes-base.code",
"position": [
-544,
16
],
"parameters": {
"jsCode": "const keyword = encodeURIComponent($json.keyword);\nconst location = encodeURIComponent($json.location);\n\nconst linkedinUrl = `https://www.linkedin.com/jobs/search/?keywords=${keyword}&location=${location}`;\nconst indeedUrl = `https://www.indeed.com/jobs?q=${keyword}&l=${location}`;\n\nreturn [\n { json: { source: 'linkedin', url: linkedinUrl, keyword: $json.keyword, location: $json.location } },\n { json: { source: 'indeed', url: indeedUrl, keyword: $json.keyword, location: $json.location } }\n];"
},
"typeVersion": 2
},
{
"id": "51b8d0b1-58ee-4390-875d-e7d4bf128b99",
"name": "IF Source = LinkedIn",
"type": "n8n-nodes-base.if",
"position": [
-320,
16
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "cond1",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.source }}",
"rightValue": "linkedin"
}
]
}
},
"typeVersion": 2
},
{
"id": "737fa0e0-41b1-4d66-95a6-985fb3883156",
"name": "ScrapeUnblocker",
"type": "n8n-nodes-scrapeunblocker.scrapeUnblocker",
"position": [
0,
0
],
"parameters": {
"url": "={{ $json.url }}"
},
"credentials": {},
"typeVersion": 1
},
{
"id": "ed9c6cfc-5bb6-438a-ba03-15fa04c686d9",
"name": "Code in JavaScript",
"type": "n8n-nodes-base.code",
"position": [
208,
0
],
"parameters": {
"jsCode": "// Robustly find the HTML string wherever it lives in the input item\nfunction findHtml(value) {\n if (typeof value === 'string' && value.includes('<html')) {\n return value;\n }\n if (Array.isArray(value)) {\n for (const v of value) {\n const found = findHtml(v);\n if (found) return found;\n }\n }\n if (value && typeof value === 'object') {\n for (const key of Object.keys(value)) {\n const found = findHtml(value[key]);\n if (found) return found;\n }\n }\n return null;\n}\n\nconst html = findHtml($json);\n\nif (!html) {\n throw new Error('No HTML found in input. Input structure: ' + JSON.stringify($json).slice(0, 200));\n}\n\nconst jobs = [];\n\nconst cardRegex = /<div[^>]*data-entity-urn=\"urn:li:jobPosting:(\\d+)\"[\\s\\S]*?<\\/div>\\s*<\\/li>/g;\nlet cardMatch;\n\nwhile ((cardMatch = cardRegex.exec(html)) !== null) {\n const block = cardMatch[0];\n const jobId = cardMatch[1];\n\n const urlMatch = block.match(/class=\"base-card__full-link[^\"]*\"[^>]*href=\"([^\"]+)\"/);\n const titleMatch = block.match(/class=\"base-search-card__title\">\\s*([^<]+)/);\n const companyMatch = block.match(/class=\"base-search-card__subtitle\">[\\s\\S]*?<a[^>]*>\\s*([^<]+)/);\n const locationMatch = block.match(/class=\"job-search-card__location\">\\s*([^<]+)/);\n const dateMatch = block.match(/class=\"job-search-card__listdate\"[^>]*datetime=\"([^\"]+)\"/);\n\n jobs.push({\n jobId: jobId,\n title: titleMatch ? titleMatch[1].trim() : null,\n company: companyMatch ? companyMatch[1].trim() : null,\n location: locationMatch ? locationMatch[1].trim() : null,\n postDate: dateMatch ? dateMatch[1].trim() : null,\n url: urlMatch ? urlMatch[1].replace(/&/g, '&').split('?')[0] : null,\n source: 'LinkedIn',\n dateScraped: new Date().toISOString()\n });\n}\n\nconst seen = new Set();\nconst deduped = jobs.filter(j => {\n if (seen.has(j.jobId)) return false;\n seen.add(j.jobId);\n return true;\n});\n\nreturn deduped.map(job => ({ json: job }));"
},
"typeVersion": 2
},
{
"id": "8a1f4805-3e44-44bd-8e09-d94a002835c5",
"name": "Append row in sheet",
"type": "n8n-nodes-base.googleSheets",
"position": [
416,
0
],
"parameters": {
"columns": {
"value": {
"URL": "={{ $json.url }}",
"Title": "={{ $json.title }}",
"Job ID": "={{ $json.jobId }}",
"Source": "={{ $json.source }}",
"Company": "={{ $json.company }}",
"Location": "={{ $json.location }}",
"Post Date": "={{ $json.postDate }}",
"Date Scraped": "={{ $json.dateScraped }}"
},
"schema": [
{
"id": "Job ID",
"type": "string",
"display": true,
"required": false,
"displayName": "Job ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title",
"type": "string",
"display": true,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company",
"type": "string",
"display": true,
"required": false,
"displayName": "Company",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Location",
"type": "string",
"display": true,
"required": false,
"displayName": "Location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Post Date",
"type": "string",
"display": true,
"required": false,
"displayName": "Post Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Source",
"type": "string",
"display": true,
"required": false,
"displayName": "Source",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "URL",
"type": "string",
"display": true,
"required": false,
"displayName": "URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Date Scraped",
"type": "string",
"display": true,
"required": false,
"displayName": "Date Scraped",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1K1CvGzVGOGpSfY6rAknO3XCyZ-hqr6KYH4ZKkiZpySM/edit#gid=0",
"cachedResultName": "jobs"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1K1CvGzVGOGpSfY6rAknO3XCyZ-hqr6KYH4ZKkiZpySM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1K1CvGzVGOGpSfY6rAknO3XCyZ-hqr6KYH4ZKkiZpySM/edit?usp=drivesdk",
"cachedResultName": "Job Board Aggregator"
}
},
"typeVersion": 4.7
},
{
"id": "c13b1a67-2ce5-411b-a321-da392de89e7c",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1728,
-304
],
"parameters": {
"width": 592,
"height": 720,
"content": "## Automated LinkedIn Job Board Scraper\n\n### How It Works\n* **Schedule & Input:** Runs every 8 hours, taking target search parameters (`keyword` & `location`).\n* **URL Building & Filtering:** Generates encoded search URLs for job platforms (LinkedIn/Indeed) and routes LinkedIn searches downstream via an IF condition.\n* **Scraping:** Fetches search results HTML using **ScrapeUnblocker** to bypass anti-bot protections.\n\n\n### Quick Setup Checklist\n1. **ScrapeUnblocker:** Authenticate active credentials.\n2. **Google Sheets:** Link credentials and verify target spreadsheet (`Job Board Aggregator`), sheet tab (`jobs`), and column mapping.\n\n### Customization\n* **Job Board Routing:** Expand `Build Search URLs` and add branches to `IF Source = LinkedIn` to scrape Indeed or other platforms.\n* **Regex Parsing:** Update card regex patterns inside `Code in JavaScript` if LinkedIn alters card containers or `data-entity-urn` tags."
},
"typeVersion": 1
},
{
"id": "99db11e9-00fd-4233-aa99-7e0ffeecb6b0",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1056,
-176
],
"parameters": {
"color": 7,
"width": 656,
"height": 384,
"content": "## 1. Schedule Trigger & Search URL Generation\nTriggers the workflow every 8 hours, sets target search variables, builds encoded URLs for job sites, and routes LinkedIn tasks."
},
"typeVersion": 1
},
{
"id": "30440fee-7ac7-4444-80d8-c1f66e2c3d7a",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-368,
-176
],
"parameters": {
"color": 7,
"width": 976,
"height": 384,
"content": "## 2. Scraping, Regex Parsing & Google Sheets Export\nFetches target page HTML via ScrapeUnblocker, parses job card details, deduplicates by Job ID, and appends listings to Google Sheets."
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "15eb6764-3079-4cd3-9cc4-5d30108947dd",
"nodeGroups": [],
"connections": {
"ScrapeUnblocker": {
"main": [
[
{
"node": "Code in JavaScript",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Set Search Variables",
"type": "main",
"index": 0
}
]
]
},
"Build Search URLs": {
"main": [
[
{
"node": "IF Source = LinkedIn",
"type": "main",
"index": 0
}
]
]
},
"Code in JavaScript": {
"main": [
[
{
"node": "Append row in sheet",
"type": "main",
"index": 0
}
]
]
},
"IF Source = LinkedIn": {
"main": [
[
{
"node": "ScrapeUnblocker",
"type": "main",
"index": 0
}
]
]
},
"Set Search Variables": {
"main": [
[
{
"node": "Build Search URLs",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
This workflow runs every 8 hours to scrape LinkedIn job search results for a chosen keyword and location using ScrapeUnblocker, then parses job details and appends them to a Google Sheets spreadsheet. Runs every 8 hours on a schedule. Sets the job search keyword and location,…
Source: https://n8n.io/workflows/17397/ — original creator credit. Request a take-down →
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