The LinkedIn Company Page Scraper helps you collect fresh company data from public LinkedIn company pages.

It loads the page, parses the public data, and returns structured company fields into your Datablist collection.

This is useful when you trust LinkedIn more than old CRM data or third-party databases for the latest public company details.

What data can you pull from a LinkedIn company page?

The enrichment can return fields such as:

  • Company name
  • Tagline
  • Description
  • Website
  • Industry
  • Specialties
  • Company type
  • Company size
  • Founded year
  • Follower count
  • Logo URL
  • Headquarters city, country, address, and postal code

It also returns a status field so you can separate clean successes from bad URLs or missing data.

Step-by-step guide

Step 1: Import your LinkedIn company page URLs

Upload your CSV or Excel file into Datablist.

Step 2: Select "LinkedIn Company Page Scraper"

Open Enrich and choose the scraper.

Step 3: Map the LinkedIn URL, choose outputs, and run

Map your LinkedIn company page field, configure the outputs you want to store, and run the enrichment on a sample before launching the full batch.

The input should be a LinkedIn company page URL in the format https://www.linkedin.com/company/....

Why teams use it

  • Refresh company data from the source buyers update themselves
  • Enrich company lists before account-based outreach
  • Add public LinkedIn company details to CRM or prospecting tables
  • Pull follower count and company positioning into account research

Pricing and example

This enrichment costs 25 credits per company page scraping.

Example:

  • 500 company pages cost 12,500 credits
  • 2,000 company pages cost 50,000 credits

If you work from account lists and LinkedIn URLs, this is often one of the cleanest ways to refresh company-level context.

Best Inputs for LinkedIn Company Scraping

Use public LinkedIn company page URLs. The action accepts common LinkedIn company formats and can also handle some school, showcase, and Sales Navigator company URLs.

Good inputs include:

  • https://www.linkedin.com/company/datablist
  • Localized LinkedIn company URLs
  • LinkedIn company URLs exported from another workflow

Clean URLs before running the full file. Invalid or unrelated URLs will be marked in the status output.

FAQ

Can I scrape LinkedIn company pages from a CSV file?

Yes. Import your CSV or Excel file, map the LinkedIn company page URL column, choose output fields, and run the enrichment in bulk.

What company fields can it return?

It can return public company fields such as name, tagline, description, website, industry, specialities, company type, size, founded year, follower count, logo URL, headquarters data, LinkedIn ID, and status.

Is this different from Company Enrichment?

Yes. Company Enrichment can start from domains or LinkedIn URLs and return waterfall company data. LinkedIn Company Page Scraper focuses on public data from LinkedIn company pages.

How should I handle bad URLs?

Keep the enrichment status output. Filter rows marked as bad format or missing data, fix the LinkedIn URLs, and rerun those rows.