Extract people search data from LinkedIn and deliver via Webhooks automatically
Navigate to the LinkedIn People Search scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.
Add your endpoint URL in the Scrapernode webhook settings. Each completed job sends a POST request with the full JSON payload, including all output fields and metadata.
Paste the LinkedIn URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and content 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.
When the job completes, Scrapernode delivers the full JSON payload to your endpoint. Each record includes 7 structured fields like url, name, subtitle, location. Parse the payload in your application and process the data as needed.
Cost per record
1 credit
Output fields
7 fields
Destination
Webhooks
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 into Webhooks
Start extracting linkedin people search data and deliver via Webhooks in minutes.