Scrape LinkedIn Job Listings for Hiring Signals & Prospecting with Bright Data | n8n workflow template

LinkedIn Hiring Signal Scraper — Jobs & Prospecting Using Bright Data

Purpose:

Discover 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.

Use Cases:

• Job Seekers – Spot relevant openings filtered by role, city, and country.
• Sales & Prospecting – Use job posts as buying signals.
  If a company is hiring for a role you support (e.g. marketers, developers, ops) —
  it’s the perfect time to reach out and offer your services.

Tools Needed:

• n8n Nodes:
  • Form Trigger
  • HTTP Request
  • Wait
  • If
  • Code
  • Google Sheets
  • Sticky Notes (for embedded guidance)
• External Services:
  • Bright Data (Dataset API)
  • Google Sheets

API Keys & Authentication Required:

• Bright Data API Key
  → Add in the HTTP Request headers:
  Authorization: Bearer YOUR_BRIGHTDATA_API_KEY

• Google Sheets OAuth2
  → Connect your account in n8n to allow read/write access to the spreadsheet.

General Guidelines:

• Use descriptive names for all nodes.
• Include retry logic in polling to avoid infinite loops.
• Flatten nested fields (like job_poster and base_salary).
• Strip out HTML tags from job descriptions for clean output.

Things to be Aware Of:

• Bright Data snapshots take ~1–3 minutes — use a Wait node and polling.
• Form filters affect output significantly:
  🔍 We recommend filtering by “Last 7 days” or “Past 24 hours” for fresher data.
• Avoid hardcoding values in the form — leave optional filters empty if unsure.

Post-Processing & Outreach:

• After data lands in Google Sheets, you can use it to:
  • Personalize cold emails based on job titles, locations, and hiring signals.
  • Send thoughtful LinkedIn messages (e.g., “Saw you’re hiring a CMO…”)
  • Prioritize outreach to companies actively growing in your niche.

Additional Notes:

• 📄 Copy the Google Sheet Template:
  Click here to make your copy
  → Rename for each campaign or client.

• Form fields include:

  • Job Location (city or region)
  • Keyword (e.g., CMO, Backend Developer)
  • Country (2-letter code, e.g., US, UK)

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This workflow gives you a competitive edge —
📌 For candidates: Be first to apply.
📌 For sellers: Be first to pitch.
All based on live hiring signals from LinkedIn.

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STEP-BY-STEP WALKTHROUGH

Step 1: Set up your Google Sheet

1. Open this template
2. Go to File → Make a copy
3. You’ll use this copy as the destination for the scraped job posts

Step 2: Fill out the Input Form in n8n

The form allows you to define what kind of job posts you want to scrape.

Fields:

• Job Location → e.g. New York, Berlin, Remote
• Keyword → e.g. CMO, AI Architect, Ecommerce Manager
• Country Code (2-letter) → e.g. US, UK, IL

💡 Pro Tip:
For best results, set the filter inside the workflow to:
time_range = "Past 24 hours" or "Last 7 days"
This keeps results relevant and fresh.

Step 3: Trigger Bright Data Snapshot

The workflow sends a request to Bright Data with your input.

Example API Call Body:

[
  {
    "location": "New York",
    "keyword": "Marketing Manager",
    "country": "US",
    "time_range": "Past 24 hours",
    "job_type": "Part-time",
    "experience_level": "",
    "remote": "",
    "company": ""
  }
]

Bright Data will start preparing the dataset in the background.

Step 4: Wait for the Snapshot to Complete

The workflow includes a Wait Node and Polling Loop that checks every few minutes until the data is ready.

You don’t need to do anything here — it’s all automated.

Step 5: Clean Up the Results

Once Bright Data responds with the full job post list:

✔️ Nested fields like job_poster and base_salary are flattened
✔️ HTML in job descriptions is removed
✔️ Final data is formatted for export

Step 6: Export to Google Sheets

The final cleaned list is added to your Google Sheet (first tab).

Each row = one job post, with columns like:

job_title, company_name, location, salary_min, apply_link, job_description_plain

Step 7: Use the Data for Outreach or Research

Example for Job Seekers:

You search for:

• Location: Berlin
• Keyword: Product Designer
• Country: DE
• Time range: Past 7 days

Now you’ve got a live list of roles — with salary, recruiter info, and apply links.
→ Use it to apply faster than others.

Example for Prospecting (Sales / SDR):

You search for:

• Location: London
• Keyword: Growth Marketing
• Country: UK

And find companies hiring growth marketers.
→ That’s your signal to offer help with media buying, SEO, CRO, or your relevant service.

Use the data to:

• Write personalized cold emails (“Saw you’re hiring a Growth Marketer…”)
• Start warm LinkedIn outreach
• Build lead lists of companies actively expanding in your niche

API Credentials Required:

• Bright Data API Key
  Used in HTTP headers: Authorization: Bearer YOUR_BRIGHTDATA_API_KEY

• Google Sheets OAuth2
  Allows n8n to read/write to your spreadsheet

Adjustments & Customization Tips:

• Modify the HTTP Request body to add more filters (e.g. job_type, remote, company)
• Increase or reduce polling wait time depending on Bright Data speed
• Add scoring logic to prioritize listings based on title or location

Final Notes:

• 📄 Google Sheet Template:
  Make your copy here

• ⚙️ Bright Data Dataset API:
  Visit BrightData.com

• 📬 Personalization works best when you act quickly.
  Use the freshest data to reach out with context — not generic pitches.

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This workflow turns LinkedIn job posts into sales insights and job leads.
All in one click. Fully automated. Ready for your next move.