🎣 Scrape LinkedIn job listings for hiring signals & prospecting with Bright Data

⚡ 20,232 views · 🎣 Lead Generation & Enrichment

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

Description

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)

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.

STEP-BY-STEP WALKTHROUGH

Step 1: Set up your Google Sheet

Open this template
Go to File → Make a copy
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.

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

🔗 Nodes Used

Google Sheets, HTTP Request, n8n Form Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup