A LinkedIn company scraper for firmographic data

The LinkedIn company scraper reads each company page and extracts the structured details a profile publishes about itself. You provide a list of company URLs or slugs and it returns one tidy row per company, ready for a spreadsheet or a CRM import.

Each row carries the industry, the employee-count band, the headquarters location, the year the company was founded, its website and its follower count, alongside the full company description. Together that is enough to size an account and judge fit before anyone picks up the phone.

It is built for list work. Instead of opening dozens of company pages in a browser, you run the list once and get a single file — which makes it just as useful for enriching known accounts as for qualifying a long list of new ones.

Firmographics earn their keep as a filter applied early. A raw list of company URLs is undifferentiated; the same list with industry, size band and founded year attached can be sorted into the accounts that match your ICP and the ones that never will. That saves reps from researching dead-end accounts one tab at a time. The follower count and description add a second layer — a fast-growing company describing itself in the language of your category is a warmer prospect than a dormant one. Run the LinkedIn company scraper at the top of your funnel and every later step, from finding contacts to writing outreach, is spent only on companies worth the effort.

• Sales teams enriching a list of company URLs with industry, size, HQ and founded year in one pass.
• SDRs running fast account research before a meeting — the full company snapshot in seconds.
• RevOps building targeted ICP lists by filtering companies on size band or industry.
• Agencies qualifying an inbound or event list down to the accounts that actually match a client profile.

Each company returns one firmographic row:

The LinkedIn company scraper reads company pages through your own LinkedIn session. You connect a session cookie once in Settings, where it is encrypted at rest, and the scraper uses it to load the pages your account can already see.

Each company page is fetched live, so the headcount band, follower count and description reflect the profile as it stands today. The data is parsed into consistent columns, which means a list of company URLs returns a single, uniform firmographic file with no manual cleanup.