Extract data from

LinkedIn profile

Capture public LinkedIn profile data into a clean table in seconds—perfect for sales prospecting and recruiting. This LinkedIn profile scraper template lets you extract key profile details as you browse and instantly send them to Google Sheets, Airtable, or Notion, then enrich, summarize, and route to your CRM or ATS with the Bardeen Chrome extension.

Website to scrape
LinkedIn profile
Export
CSV
Google Sheets
Airtable
Notion
More about this Scraper Template

Designed for a global audience of sales prospectors and recruiters, this LinkedIn profile scraper template turns any accessible LinkedIn /in/ page into structured, analysis-ready data. Build lead lists, candidate pipelines, and market maps by capturing the profile information you need in a few clicks—ideal for SDRs, AEs, talent sourcers, and founders who rely on LinkedIn for research.

Use it to send profile data directly to Google Sheets, Airtable, or Notion, then supercharge it with Bardeen: enrich with company and contact details, ask AI to summarize backgrounds and craft personalized outreach, tag seniority and skills, score fit, de-duplicate against existing records, and sync to your CRM or ATS. This template helps you automate profile capture at the source and keep your prospecting or recruiting workflow fast, accurate, and scalable.

What to do after you scraped data from a website

With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.

"Our Sales and Ops teams can do more in less time to help serve our customers better."

Alex Bouaziz
Co-Founder & CEO at deel.
Enterprise-grade security

SOC 2 Type II, GDPR and CASA Tier 2 and 3 certified — so you can automate with confidence at any scale.

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