Extract people search data from LinkedIn at scale
Navigate to the LinkedIn People Search scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.
Paste the LinkedIn URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and hashtag pages.
Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.
Once complete, download your results as JSON or CSV. Each record includes 7 structured fields like url, name, subtitle, location, and more.
Set up webhooks to receive data automatically when jobs complete, or use the REST API for programmatic scraping. Integrate with n8n, Make, or Zapier for workflow automation.
Cost per record
1 credit
Output fields
7 fields
Output formats
JSON, CSV
Preview the data you'll receive — 5 sample records
7 fields returned per record
LinkedIn profile URL of the discovered person (100.00% fill rate)
Full name of the person (100.00% fill rate)
Professional headline or subtitle (34.28% fill rate)
Geographic location of the person (99.92% fill rate)
Current or recent work experience (37.30% fill rate)
Educational background (63.51% fill rate)
URL to profile avatar image (96.38% fill rate)
Common questions about How to Scrape LinkedIn People Search
Start extracting linkedin people search data in minutes. No code required — just paste your URLs and go.