{ "workflow": { "id": 3580, "name": "Scrape LinkedIn job listings for hiring signals & prospecting with Bright Data", "views": 18844, "recentViews": 3, "totalViews": 18844, "createdAt": "2025-04-16T18:34:57.146Z", "description": "LinkedIn Hiring Signal Scraper — Jobs & Prospecting Using Bright Data\n\n## Purpose:\nDiscover recent job posts from LinkedIn using Bright Data's Dataset API, clean the results, and log them into Google Sheets — for both job hunting **and** identifying high-intent B2B leads based on hiring activity.\n\n## Use Cases:\n- **Job Seekers** – Spot relevant openings filtered by role, city, and country. \n- **Sales & Prospecting** – Use job posts as buying signals. \n If a company is hiring for a role you support (e.g. marketers, developers, ops) — \n it's the perfect time to reach out and offer your services.\n\n## Tools Needed:\n- **n8n Nodes:**\n - Form Trigger \n - HTTP Request \n - Wait \n - If \n - Code \n - Google Sheets \n - Sticky Notes (for embedded guidance)\n- **External Services:**\n - [Bright Data](https://brightdata.com) (Dataset API) \n - [Google Sheets](https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit?usp=sharing)\n\n## API Keys & Authentication Required:\n- **Bright Data API Key** \n → Add in the HTTP Request headers: \n `Authorization: Bearer YOUR_BRIGHTDATA_API_KEY`\n\n- **Google Sheets OAuth2** \n → Connect your account in n8n to allow read/write access to the spreadsheet.\n\n## General Guidelines:\n- Use descriptive names for all nodes. \n- Include retry logic in polling to avoid infinite loops. \n- Flatten nested fields (like `job_poster` and `base_salary`). \n- Strip out HTML tags from job descriptions for clean output.\n\n## Things to be Aware Of:\n- Bright Data snapshots take ~1–3 minutes — use a Wait node and polling. \n- Form filters affect output significantly: \n 🔍 We recommend filtering by **\"Last 7 days\"** or **\"Past 24 hours\"** for fresher data. \n- Avoid hardcoding values in the form — leave optional filters empty if unsure.\n\n## Post-Processing & Outreach:\n- After data lands in Google Sheets, you can use it to: \n - Personalize cold emails based on job titles, locations, and hiring signals. \n - Send thoughtful LinkedIn messages (e.g., \"Saw you're hiring a CMO...\") \n - Prioritize outreach to companies actively growing in your niche.\n\n## Additional Notes:\n- 📄 Copy the Google Sheet Template: \n [Click here to make your copy](https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit?usp=sharing) \n → Rename for each campaign or client.\n\n- Form fields include: \n - Job Location (city or region) \n - Keyword (e.g., CMO, Backend Developer) \n - Country (2-letter code, e.g., US, UK)\n\n---\n\nThis workflow gives you a competitive edge — \n📌 For candidates: Be first to apply. \n📌 For sellers: Be first to pitch. \nAll based on live hiring signals from LinkedIn.\n\n---\n\n## STEP-BY-STEP WALKTHROUGH\n\n### Step 1: Set up your Google Sheet\n1. Open this [template](https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit?usp=sharing)\n2. Go to `File → Make a copy`\n3. You'll use this copy as the destination for the scraped job posts\n\n### Step 2: Fill out the Input Form in n8n\nThe form allows you to define what kind of job posts you want to scrape.\n\n**Fields:**\n- **Job Location** → e.g. `New York`, `Berlin`, `Remote` \n- **Keyword** → e.g. `CMO`, `AI Architect`, `Ecommerce Manager` \n- **Country Code (2-letter)** → e.g. `US`, `UK`, `IL`\n\n**💡 Pro Tip:** \nFor best results, set the filter inside the workflow to: \n`time_range = \"Past 24 hours\"` or `\"Last 7 days\"` \nThis keeps results relevant and fresh.\n\n### Step 3: Trigger Bright Data Snapshot\nThe workflow sends a request to Bright Data with your input.\n\nExample API Call Body:\n```json\n[\n {\n \"location\": \"New York\",\n \"keyword\": \"Marketing Manager\",\n \"country\": \"US\",\n \"time_range\": \"Past 24 hours\",\n \"job_type\": \"Part-time\",\n \"experience_level\": \"\",\n \"remote\": \"\",\n \"company\": \"\"\n }\n]\n```\n\nBright Data will start preparing the dataset in the background.\n\n### Step 4: Wait for the Snapshot to Complete\nThe workflow includes a Wait Node and Polling Loop that checks every few minutes until the data is ready.\n\nYou don't need to do anything here — it's all automated.\n\n### Step 5: Clean Up the Results\nOnce Bright Data responds with the full job post list:\n\n✔️ Nested fields like job_poster and base_salary are flattened \n✔️ HTML in job descriptions is removed \n✔️ Final data is formatted for export\n\n### Step 6: Export to Google Sheets\nThe final cleaned list is added to your Google Sheet (first tab).\n\nEach row = one job post, with columns like:\n\njob_title, company_name, location, salary_min, apply_link, job_description_plain\n\n### Step 7: Use the Data for Outreach or Research\n#### Example for Job Seekers:\nYou search for:\n\n- Location: Berlin\n- Keyword: Product Designer\n- Country: DE\n- Time range: Past 7 days\n\nNow you've got a live list of roles — with salary, recruiter info, and apply links.\n→ Use it to apply faster than others.\n\n#### Example for Prospecting (Sales / SDR):\nYou search for:\n\n- Location: London\n- Keyword: Growth Marketing\n- Country: UK\n\nAnd find companies hiring growth marketers.\n→ That's your signal to offer help with media buying, SEO, CRO, or your relevant service.\n\nUse the data to:\n- Write personalized cold emails (\"Saw you're hiring a Growth Marketer…\")\n- Start warm LinkedIn outreach\n- Build lead lists of companies actively expanding in your niche\n\n## API Credentials Required:\n- **Bright Data API Key** \n Used in HTTP headers: `Authorization: Bearer YOUR_BRIGHTDATA_API_KEY`\n\n- **Google Sheets OAuth2** \n Allows n8n to read/write to your spreadsheet\n\n## Adjustments & Customization Tips:\n- Modify the HTTP Request body to add more filters (e.g. job_type, remote, company)\n- Increase or reduce polling wait time depending on Bright Data speed\n- Add scoring logic to prioritize listings based on title or location\n\n## Final Notes:\n- 📄 Google Sheet Template: \n [Make your copy here](https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit?usp=sharing)\n\n- ⚙️ Bright Data Dataset API: \n Visit [BrightData.com](https://get.brightdata.com/1tndi4600b25)\n\n- 📬 Personalization works best when you act quickly. \n Use the freshest data to reach out with context — not generic pitches.\n\n---\n\nThis workflow turns LinkedIn job posts into sales insights and job leads.\nAll in one click. Fully automated. Ready for your next move.", "workflow": { "meta": { "instanceId": "1eadd5bc7c3d70c587c28f782511fd898c6bf6d97963d92e836019d2039d1c79" }, "nodes": [ { "id": "bee233ee-7212-4fbd-b151-0bb49919ca42", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 0, 280 ], "parameters": { "color": 4, "width": 1289, "height": 4398, "content": "LinkedIn Job Data Scraper to Google Sheets\nScrape live job posts from LinkedIn via Bright Data, clean them, and send to Google Sheets. Use for:\n✅ Job Hunting — fresh, filtered roles\n✅ Sales Prospecting — find companies hiring (aka growing)\n⚙️ What's Used\nn8n Nodes: Form → HTTP Request → Wait → If → Code → Google Sheets\nExternal Tools:\n\nBright Data – Dataset API\nGoogle Sheets – Template Copy\n\n🔑 Setup – Credentials Needed\n\nBright Data API Key → Add to HTTP headers as: Authorization: Bearer YOUR_TOKEN_HERE\nGoogle Sheets OAuth2 → Connect account in n8n\n\n📝 Input Form – Fields\nUsed to define what job data to scrape.\nFieldDescriptionExampleLocationCity/regionNew York, BerlinKeywordRole to searchCMO, Data AnalystCountry2-letter ISO codeUS, UK, DETime RangeHow recent the jobs should be\"Past 24 hours\" or \"Last 7 days\" (recommended)Job TypeFull-time / Part-time / Contract(Optional)ExperienceEntry, Mid, Senior(Optional)RemoteFilter by remote-friendly roles(Optional)CompanyFilter by specific employer(Optional)\n🚀 Workflow Steps\n\nUser fills input form\nTrigger snapshot via Bright Data Dataset API\nWait node + polling checks when data is ready (~1–3 mins)\nCleanup step:\n\nFlattens nested fields (job_poster, base_salary, etc.)\nRemoves HTML from job descriptions\n\n\nSend to Google Sheet\n\nSheet is pre-linked, 1 job per row\nExample columns: job_title, company_name, location, salary_min, apply_link, job_description_plain\n\n\nYou use the data\n\nJob seekers → Apply fast\nSalespeople → Spot buyers & offer help\n\n\n\n💡 Pro Tips\n\nUse \"Past 24 hours\" or \"Last 7 days\" for fresher results\nLeave filters empty if unsure — Bright Data will return broader results\nUse cleaned data for:\n\nCold email personalization\nLinkedIn outreach\nBuilding ICP-based lead lists\n\n\n\n🧪 Example API Body\njson[ \n { \n \"location\": \"New York\", \n \"keyword\": \"Marketing Manager\", \n \"country\": \"US\", \n \"time_range\": \"Past 24 hours\", \n \"job_type\": \"Part-time\", \n \"experience_level\": \"\", \n \"remote\": \"\", \n \"company\": \"\" \n } \n]\n📄 Template & Resources\n\n📋 Google Sheet Template (Make a Copy)\n📘 Bright Data API Reference\n\n🛠️ Customize It\n\nAdd filters to HTTP Body (remote, experience_level, etc.)\nChange polling interval if Bright Data is slow\nAdd custom logic to score/prioritize listings\nSend filtered lists to CRM, Slack, etc.\n\nThis gives you a live stream of hiring signals — whether you're finding a job or pitching a service. One form. One click. Fully automated." }, "typeVersion": 1 }, { "id": "0fa9d0fe-b3ba-48be-99b9-2bc3aeb18b43", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ 0, -60 ], "parameters": { "color": 4, "width": 1300, "height": 320, "content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n" }, "typeVersion": 1 }, { "id": "33cb416e-a7ff-4b55-9701-9b9e95d76f12", "name": "Snapshot Progress", "type": "n8n-nodes-base.httpRequest", "position": [ 2840, 360 ], "parameters": { "url": "=https://api.brightdata.com/datasets/v3/progress/{{ $('HTTP Request- Post API call to Bright Data').item.json.snapshot_id }}", "options": {}, "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer " } ] } }, "typeVersion": 4.2 }, { "id": "6b8c9405-8f8c-4a24-85ca-343d33e06141", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [ 3680, 140 ], "parameters": { "width": 195, "height": 646, "content": "In this workflow, I use Google Sheets to store the results. \n\nYou can use my template to get started faster:\n\n1. [Click on this link to get the template](https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit?usp=sharing)\n2. Make a copy of the Sheets\n3. Add the URL to this node \n\n\n" }, "typeVersion": 1 }, { "id": "3d3cd92a-9ea7-4a4f-a9b5-aae689f719e5", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1320, -60 ], "parameters": { "width": 480, "height": 2240, "content": "# 🔍 LinkedIn Jobs API – Parameter Guide\n\nUse this object to query LinkedIn job listings. \nEach field lets you filter results based on different criteria.\n\n```json\n{\n \"location\": \"{{ $json.Location }}\",\n \"keyword\": \"{{ $json.Keyword }}\",\n \"country\": \"{{ $json.Country }}\",\n \"time_range\": \"Past 24 hours\",\n \"job_type\": \"Part-time\",\n \"experience_level\": \"\",\n \"remote\": \"\",\n \"company\": \"\"\n}\n```\n\n## 🧾 Field Explanations & Valid Options\n\n### 🗺️ location\nCity or region where the job is located.\nUse a city or region name.\n✅ Example: \"Berlin\", \"New York\"\n\n### 🧠 keyword\nJob title or search keywords.\nUse terms like role names or skills.\n✅ Example: \"Data Scientist\", \"Growth Marketing\"\n\n### 🌍 country\nCountry code in ISO 3166-1 alpha-2 format.\n✅ Example: \"US\", \"DE\", \"IL\"\n\n### ⏱️ time_range\nPosting date filter.\nLimits results based on how recently jobs were posted.\nAccepted values:\n- Any Time\n- Past 24 hours\n- Past Week\n- Past Month\n✅ Example: \"Past Week\"\n\n### 💼 job_type\nType of employment.\nUse a single value or comma-separated list.\nAccepted values:\n- Full-time\n- Part-time\n- Contract\n- Temporary\n- Internship\n- Volunteer\n- Other\n✅ Example: \"Full-time,Contract\"\n\n### 🎯 experience_level\nSeniority level of the job.\nAccepted values:\n- Internship\n- Entry level\n- Associate\n- Mid-Senior level\n- Director\n- Executive\n✅ Example: \"Mid-Senior level\"\n\n### 🌐 remote\nWorkplace type.\nAccepted values:\n- Remote\n- On-site\n- Hybrid\n- (leave blank for no preference)\n✅ Example: \"Remote\"\n\n### 🏢 company\nFilter by company name.\nOptional. Use plain text.\n✅ Example: \"Google\", \"Spotify\"\n\n## ✅ Full Example\n\n```json\n{\n \"location\": \"New York\",\n \"keyword\": \"UI Designer\",\n \"country\": \"US\",\n \"time_range\": \"Past Week\",\n \"job_type\": \"Full-time,Contract\",\n \"experience_level\": \"Mid-Senior level\",\n \"remote\": \"Hybrid\",\n \"company\": \"Spotify\"\n}\n```\n\n" }, "typeVersion": 1 }, { "id": "1d7a7bb0-1531-4516-9373-5e85a090b143", "name": "On form submission - Discover Jobs", "type": "n8n-nodes-base.formTrigger", "position": [ 1700, 580 ], "webhookId": "8d0269c7-d1fc-45a1-a411-19634a1e0b82", "parameters": { "options": {}, "formTitle": "Linkedin High Intent Prospects And Job Post Hunt", "formFields": { "values": [ { "fieldLabel": "Job Location", "placeholder": "example: new york", "requiredField": true }, { "fieldLabel": "Keyword", "placeholder": "example: CMO, AI architect", "requiredField": true }, { "fieldLabel": "Country (2 letters)", "placeholder": "example: US,UK,IL", "requiredField": true } ] }, "formDescription": "This form lets you customize your job search / prospecting by choosing:\n\nLocation (city or region)\n\nJob title or keywords\n\nCountry code\n\nFilters like posting date, job type, experience level, and remote options\n\nYou can also optionally narrow results by company name.\n\n🧠 Tip: Leave fields blank if you want broader results." }, "typeVersion": 2.2 }, { "id": "aea569df-eedd-441f-aba5-c3c26a50fa87", "name": "HTTP Request- Post API call to Bright Data", "type": "n8n-nodes-base.httpRequest", "position": [ 2260, 620 ], "parameters": { "url": "https://api.brightdata.com/datasets/v3/trigger", "method": "POST", "options": {}, "jsonBody": "=[\n {\n \"location\": \"{{ $json['Job Location'] }}\",\n \"keyword\": \"{{ $json.Keyword }}\",\n \"country\": \"{{ $json['Country (2 letters)'] }}\",\n \"time_range\": \"Past 24 hours\",\n \"job_type\": \"Part-time\",\n \"experience_level\": \"\",\n \"remote\": \"\",\n \"company\": \"\"\n }\n] ", "sendBody": true, "sendQuery": true, "sendHeaders": true, "specifyBody": "json", "queryParameters": { "parameters": [ { "name": "dataset_id", "value": "gd_lpfll7v5hcqtkxl6l" }, { "name": "endpoint", "value": "https://yaron-nofluff.app.n8n.cloud/webhook-test/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" }, { "name": "notify", "value": "https://yaron-nofluff.app.n8n.cloud/webhook-test/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" }, { "name": "format", "value": "json" }, { "name": "uncompressed_webhook", "value": "true" }, { "name": "type", "value": "discover_new" }, { "name": "discover_by", "value": "=keyword" } ] }, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer " } ] } }, "typeVersion": 4.2 }, { "id": "8837f055-7243-44b6-87a2-e679d75839d0", "name": "Wait - Polling Bright Data", "type": "n8n-nodes-base.wait", "position": [ 2600, 360 ], "webhookId": "8005a2b3-2195-479e-badb-d90e4240e699", "parameters": { "unit": "minutes" }, "executeOnce": false, "typeVersion": 1.1 }, { "id": "1f0ebefa-42a1-450c-b30a-64edabdaedaf", "name": "If - Checking status of Snapshot - if data is ready or not", "type": "n8n-nodes-base.if", "position": [ 3040, 360 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "7932282b-71bb-4bbb-ab73-4978e554de7e", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.status }}", "rightValue": "running" } ] } }, "typeVersion": 2.2 }, { "id": "e17b4da0-3f9c-45d5-acdf-ab634acfef97", "name": "HTTP Request - Getting data from Bright Data", "type": "n8n-nodes-base.httpRequest", "position": [ 3320, 380 ], "parameters": { "url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}", "options": {}, "sendQuery": true, "sendHeaders": true, "queryParameters": { "parameters": [ { "name": "format", "value": "json" } ] }, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer " } ] } }, "typeVersion": 4.2 }, { "id": "b5bd6a55-f80d-46f9-a59a-beff28de9da7", "name": "Code - Cleaning Up", "type": "n8n-nodes-base.code", "position": [ 3600, 400 ], "parameters": { "jsCode": "// Helper function to strip HTML tags\nfunction stripHtml(html) {\n return html\n .replace(/<[^>]+>/g, '') // remove all HTML tags\n .replace(/ /g, ' ') // decode HTML entities\n .replace(/&[a-z]+;/g, '') // remove other HTML entities\n .replace(/\\s+/g, ' ') // normalize whitespace\n .trim();\n}\n\nreturn items.map(item => {\n const data = item.json;\n\n // Flatten job_poster\n if (data.job_poster) {\n data.job_poster_name = data.job_poster.name || '';\n data.job_poster_title = data.job_poster.title || '';\n data.job_poster_url = data.job_poster.url || '';\n delete data.job_poster;\n }\n\n // Flatten base_salary\n if (data.base_salary) {\n data.salary_min = data.base_salary.min_amount || '';\n data.salary_max = data.base_salary.max_amount || '';\n data.salary_currency = data.base_salary.currency || '';\n data.salary_period = data.base_salary.payment_period || '';\n delete data.base_salary;\n }\n\n // Clean up job description HTML\n if (data.job_description_formatted) {\n data.job_description_plain = stripHtml(data.job_description_formatted);\n }\n\n return { json: data };\n});\n" }, "typeVersion": 2 }, { "id": "70f4a4a0-b9ce-4b7a-b232-86014a7f8a3f", "name": "Google Sheets - Adding All Job Posts", "type": "n8n-nodes-base.googleSheets", "position": [ 3940, 440 ], "parameters": { "columns": { "value": { "country_code": "={{ $json.country_code }}" }, "schema": [ { "id": "url", "type": "string", "display": true, "removed": false, "required": false, "displayName": "url", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_posting_id", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_posting_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_title", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_title", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "company_name", "type": "string", "display": true, "removed": false, "required": false, "displayName": "company_name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_location", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_location", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_description_plain", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_description_plain", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_poster_name", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_poster_name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_poster_title", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_poster_title", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_poster_url", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_poster_url", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "salary_min", "type": "string", "display": true, "removed": false, "required": false, "displayName": "salary_min", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "salary_max", "type": "string", "display": true, "removed": false, "required": false, "displayName": "salary_max", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "salary_currency", "type": "string", "display": true, "removed": false, "required": false, "displayName": "salary_currency", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "salary_period", "type": "string", "display": true, "removed": false, "required": false, "displayName": "salary_period", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "application_availability", "type": "string", "display": true, "removed": false, "required": false, "displayName": "application_availability", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_posted_date", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_posted_date", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "company_logo", "type": "string", "display": true, "removed": false, "required": false, "displayName": "company_logo", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "country_code", "type": "string", "display": true, "removed": false, "required": false, "displayName": "country_code", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "timestamp", "type": "string", "display": true, "removed": false, "required": false, "displayName": "timestamp", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "company_id", "type": "string", "display": true, "removed": false, "required": false, "displayName": "company_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_summary", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_summary", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "company_url", "type": "string", "display": true, "removed": false, "required": false, "displayName": "company_url", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_posted_time", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_posted_time", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_num_applicants", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_num_applicants", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "discovery_input", "type": "string", "display": true, "removed": false, "required": false, "displayName": "discovery_input", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "apply_link", "type": "string", "display": true, "removed": false, "required": false, "displayName": "apply_link", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "title_id", "type": "string", "display": true, "removed": false, "required": false, "displayName": "title_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_description_formatted", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_description_formatted", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "input", "type": "string", "display": true, "removed": false, "required": false, "displayName": "input", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_seniority_level", "type": "string", "display": true, "removed": false, "required": false, "displayName": "job_seniority_level", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "job_function", "type": "string", "display": true, "removed": false, "required": false, 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Trigger,\nyou can directly adjust the filters here in this node.\n\nYou can customize:\n\n\"location\" → city, region, or keyword (e.g. \"New York\", \"Remote\")\n\n\"keyword\" → job title or role (e.g. \"CMO\", \"AI Engineer\")\n\n\"country\" → 2-letter country code (e.g. \"US\", \"UK\")\n\n\"time_range\" → \"Past 24 hours\", \"Last 7 days\", etc.\n\n\"job_type\", \"experience_level\", \"remote\", \"company\" → optional filters\n\n📌 Tip:\nUse \"Past 24 hours\" or \"Last 7 days\" for the freshest results." }, "typeVersion": 1 }, { "id": "54303791-b269-4930-85b5-33e50ae08f33", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 2320, 220 ], "parameters": { "color": 4, "width": 940, "height": 360, "content": "Bright Data Getting Jobs\n" }, "typeVersion": 1 }, { "id": "cccb03cb-0432-43ff-9c3a-233de510a775", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ 1920, 580 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": 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linkedin:\nhttps://www.linkedin.com/in/yaronbeen/\n\nAnd check out my Youtube channel:\nhttps://www.youtube.com/@YaronBeen/videos", "verified": true, "links": [ "https://www.nofluff.online/automation-services/" ], "avatar": "https://gravatar.com/avatar/a4e4dcaa1f76ff5266bbf80e8df86d22efda890474c68f7796e72fd82e3f2375?r=pg&d=retro&size=200" }, "nodes": [ { "id": 18, "icon": "file:googleSheets.svg", "name": "n8n-nodes-base.googleSheets", "codex": { "data": { "alias": [ "CSV", "Sheet", "Spreadsheet", "GS" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/", "icon": "❤️", "label": "Love at first sight: Ricardo’s n8n journey" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": 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