A LinkedIn company scraper for firmographic data
Extract company profile data from LinkedIn.
The Kavex LinkedIn company scraper turns a list of company pages into a clean firmographic dataset. Give it LinkedIn company URLs or slugs and get back industry, headcount, headquarters, founded year, website and follower count for each one. It is the fastest way to enrich a list of accounts you already have, or to build a targeted prospect list filtered on the attributes that define your ICP. You pay per company returned.
A RUN OF 1,000 COMPANIES ON THIS SOURCE, AT 2 PER COMPANY
Six columns on every row.
These come with the run and cost nothing extra. Add-ons widen the same sheet, and you pay only for the ones you switched on.
| Company | Industry | Size | HQ | Founded | Followers |
|---|---|---|---|---|---|
| Bright Labs | Software | 51-200 | London, UK | 2019 | 14,200 |
| Varzace | SaaS | 11-50 | Berlin, DE | 2021 | 3,860 |
| North Studio | Design Services | 11-50 | Amsterdam, NL | 2017 | 2,410 |
| Pixelforge | Information Technology | 201-500 | San Francisco, US | 2014 | 38,900 |
Say what you want. Read the price first.
Everything else is a ceiling or a filter. The estimate moves with the numbers you type, so the run never surprises you at the end.
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.
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.
Charged per delivered row. If the source holds fewer than you asked for, the rest of the credits go back to your balance the second the run ends.
One thousand companies, itemised.
One line, because this source has nothing bundled on top. You pay the rate times the rows the run actually delivered.
| Line | Rate | Units | Credits |
|---|---|---|---|
| LinkedIn Companies | 2 / company | 1,000 companies | 2,000 |
| 1,000 companies | 2 / company | 2,000 credits | $2.00 |
$0.002 PER FINISHED COMPANY · ONLY DELIVERED ROWS ARE BILLED
What people point it at.
Four ways this source is used today. Every one of them is the same run, the same export and the same credit pool.
- 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.
The rest of the linkedin stack.
Same credit pool, same export. Chain the output of one run into the next without paying for the list twice.
Asked before the first run.
Short answers, no accordion to click through. If something is still missing, the help pages go deeper.
What company data does it return?
Each company row includes industry, employee-count band, headquarters, founded year, website, follower count and the full description, the firmographics you need to size and qualify an account.
How do I connect LinkedIn?
You add a LinkedIn session cookie once in Settings, where it is stored encrypted at rest. After that the scraper runs against your list without any further setup.
Can I enrich a long list of companies?
Yes. Provide a list of company URLs or slugs and the scraper processes them in sequence, returning one combined firmographic file you can filter by size or industry.
How do results export?
Results download as a CSV with one company per row and a column for each firmographic field, ready to import straight into a CRM.