Firmographics for a CRM
Fill in industry, size and headquarters for every account in a list, from the company's own LinkedIn page.
LinkedIn data API · Companies
Turn a LinkedIn company page into structured data: industry, size, employee count, followers, website, headquarters, founding year and specialities. Up to ten companies per call, priced per company.
Updated 21 October 2026
Fill in industry, size and headquarters for every account in a list, from the company's own LinkedIn page.
Let an agent check employee count and industry before it adds a company to an outbound sequence.
Read follower counts and specialities over time, each measured with a date you can trust.
curl -X POST https://apiforagents.dev/v1/linkedin \
-H "Authorization: Bearer $AFA_KEY" \
-H "Content-Type: application/json" \
-d '{"op":"companies","subjects":["microsoft"],"estimateOnly":true}'curl -X POST https://apiforagents.dev/v1/linkedin \
-H "Authorization: Bearer $AFA_KEY" \
-H "Content-Type: application/json" \
-d '{"op":"companies","subjects":["microsoft"]}'Everything you can send in one companies call. Required inputs first.
| Input | Type | What it does |
|---|---|---|
| subjects * | text list | /company/<slug> handles or URLs. 1-10 items |
The fields of every row, always present. Nothing is guessed: a value that could not be measured is null, and the answer's coverage says why.
| Field | Type |
|---|---|
| universalName | string |
| urn | string |
| name | string |
| industry | string |
| sizeBucket | string |
| employeesCount | integer |
| followers | integer |
| website | string |
| linkedinUrl | string |
| hqLocation | string |
| hqStreet | string |
| hqCity | string |
| hqState | string |
| hqPostalCode | string |
| hqCountry | string |
| about | string |
| founded | integer |
| specialities | list of string |
| logoUrl | string |
| pageType | string |
| isVerified | boolean |
| isActive | boolean |
| jobsUrl | string |
| callToActionUrl | string |
| locations | list of object |
| employeesByLocation | list of object |
| details | object |
details is always the last field: everything else the source sent for that row, under our own field names. Its keys depend on the source that answered, so read them defensively; it is {} when there is nothing more.
Made-up names and values in the real field names, so you can see the shape before you spend anything.
| universalName | name | industry | sizeBucket | employeesCount | followers |
|---|---|---|---|---|---|
| paylane | Paylane | Financial Services | 201-500 | 342 | 48210 |
| northfold | Northfold | Software Development | 51-200 | 128 | 15904 |
| kitebank | Kitebank | Banking | 1001-5000 | 2410 | 210388 |
Pay as you go, in US dollars, per record. No subscription, nothing expires, $5 first top-up, and every new agent starts with $0.10 free.
| Request | Records | At the list price |
|---|---|---|
| One company | 1 | $0.004 |
| 10 companies | 10 | $0.04 |
These are per-record list prices. Some calls also carry a minimum, such as a page of search results, so a small request can cost more than the table shows. The quote ("estimateOnly": true) is free, gives the most your exact request can cost, and the charge then settles to what came back. Records that do not come back are refunded.
One row per company: universalName, name, industry, size bucket, employee count, followers, website, headquarters location, about, founding year and specialities.
$0.004 per company, pay as you go, with a free quote before every call and a refund for any company that does not come back.
By its /company/<slug> handle or the full LinkedIn company URL. Up to ten per call.
Yes. The company search operation finds companies by keyword, location, size and industry, and returns the same fields.
The playground runs any endpoint by hand: pick a platform and what you want from it, fill a short form named in plain words (or press Use sample input), see the free quote on the Run button, run it, then read the answer as a table or JSON and download it as CSV or JSON. The same call is written out as cURL, Python and Node while you type.
Why people pick API for Agents
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