LinkedIn API endpoint
Returns a LinkedIn company page by its company `id`. The response has the name, headline, about text, industry, company size, employee count on LinkedIn, follower count, founding year, headquarters, locations, specialties, website, logo, affiliated and similar pages, and recent updates with reactions and comment counts.
/linkedin/company/{id}Path parameters:
id: required. LinkedIn Company ID.| Field | Filled in, of 1 checked | Values in the sample |
|---|---|---|
| is_primary | 1 | true in 1 of 1 |
| address | 1 |
| Parameter | Type | Required | Default | Description | Example |
|---|---|---|---|---|---|
| id (path) | string | Yes | LinkedIn Company ID | googledeepmind | |
| x-api-key (header) | string | Yes | API key required |
curl -X GET "https://api.crawlora.net/api/v1/linkedin/company/googledeepmind" \ -H "x-api-key: $CRAWLORA_API_KEY"
{
"code": 200,
"msg": "OK",
"data": {
"name": "Google DeepMind",
"link": "https://www.linkedin.com/company/googledeepmind",
"logo": "https://static.licdn.com/scds/common/u/images/email/artdeco/logos/96/linkedin-bug-color.png",
"headline": "We're committed to solving intelligence, to advance science and benefit humanity.",
"follower_count": 1176418,
"num_of_employees_on_linkedin": 0
}
}Request schema
No body schema
Response schema
#/definitions/linkedin.companyResponseDoc
| Field | Type | Required | Enum | Bounds | Example | Description |
|---|---|---|---|---|---|---|
| code | integer | No | 200 | |||
| data | linkedin.LinkedinCompanyResponse | No | ||||
| data.about | string | No | We’re a team of scientists, engineers... | Company description from the About section. | ||
| data.affiliated_pages | array | No | Related company pages listed as affiliated with this company. | |||
| data.affiliated_pages[].address | string | No | San Francisco, CA | Location shown on the page card, for example `San Francisco, CA`. | ||
| data.affiliated_pages[].industry | string | No | Research Services | Industry listed on the company page. | ||
| data.affiliated_pages[].link | string | No | https://www.linkedin.com/company/openai | LinkedIn URL of the company page. | ||
| data.affiliated_pages[].name | string | No | OpenAI | Name of the company page. | ||
| data.company_size | string | No | 501-1,000 | Employee count range listed on the page, for example `501-1,000`. | ||
| data.follower_count | integer | No | 1176422 | Number of LinkedIn followers of the company page. | ||
| data.founded_on | integer | No | 2010 | Year the company was founded. | ||
| data.headline | string | No | We're committed to solving intelligence, to advance science and benefit humanity. | Tagline shown under the company name. | ||
| data.headquarters | string | No | London, London | Headquarters location as listed on the page. | ||
| data.industry | string | No | Research Services | Industry listed on the company page, for example `Research Services`. | ||
| data.link | string | No | https://www.linkedin.com/company/googledeepmind | LinkedIn URL of the company page. | ||
| data.locations | array | No | Office locations listed on the company page. | |||
| data.locations[].address | string | No | Kings Cross, London, London N1C4AG, GB | Full street address of the location, as listed on the company page. | ||
| data.locations[].is_primary | boolean | No | true | Whether this is the company's primary location on LinkedIn. | ||
| data.logo | string | No | https://static.licdn.com/.../linkedin-bug-color.png | URL of the company logo image. | ||
| data.name | string | No | Google DeepMind | Company name as shown on its LinkedIn page. | ||
| data.num_of_employees_on_linkedin | integer | No | 5590 | Number of employees who list the company on their LinkedIn profile. | ||
| data.similar_pages | array | No | Company pages LinkedIn suggests as similar to this company. | |||
| data.similar_pages[].address | string | No | San Francisco, CA | Location shown on the page card, for example `San Francisco, CA`. | ||
| data.similar_pages[].industry | string | No | Research Services | Industry listed on the company page. | ||
| data.similar_pages[].link | string | No | https://www.linkedin.com/company/openai | LinkedIn URL of the company page. | ||
| data.similar_pages[].name | string | No | OpenAI | Name of the company page. | ||
| data.specialties | string | No | Artificial Intelligence and Machine Learning | Specialties listed on the company page. | ||
| data.type | string | No | Privately Held | Organization type listed on the page, for example `Privately Held`. | ||
| data.updates | array | No | Recent posts shown on the company page. | |||
| data.updates[].author | string | No | Google DeepMind | Name of the page that published the post. | ||
| data.updates[].author_link | string | No | https://uk.linkedin.com/company/googledeepmind | LinkedIn URL of the page that published the post. | ||
| data.updates[].images | array | No | ["https://example.com/image1.jpg"] | URLs of the images attached to the post. | ||
| data.updates[].is_reposted | boolean | No | false | Whether the post is a repost of another LinkedIn post. | ||
| data.updates[].logo | string | No | https://media.licdn.com/dms/image/v2/D4E0BAQEntrYwxPlbQA/company-logo_100_100/0/googledeepmind_logo | URL of the logo image of the page that published the post. | ||
| data.updates[].num_of_comments | integer | No | 21 | Number of comments on the post. | ||
| data.updates[].num_of_reactions | integer | No | 571 | Number of reactions on the post. | ||
| data.updates[].post_link | string | No | https://www.linkedin.com/posts/googledeepmind_thomas-story-activity-7313245349987385346-5COL | LinkedIn URL of the post. | ||
| data.updates[].published_at | string | No | 1w | How long ago the post was published, as LinkedIn shows it, for example `1w`. | ||
| data.updates[].summary | string | No | When his son was diagnosed with a rare disease, Googler Thomas Wagner... | Text of the post. | ||
| data.updates[].videos | array | No | ["https://example.com/video1.mp4"] | URLs of the videos attached to the post. | ||
| data.website | string | No | https://www.deepmind.google | Company website address as listed on the page. | ||
| msg | string | No | OK |
| Status | Description | Schema |
|---|---|---|
| 400 | Invalid company ID | #/definitions/app.Response |
| 429 | Rate limit exceeded | #/definitions/app.Response |
| 500 | Internal server error | #/definitions/app.Response |
Use environment variables for secrets and keep Crawlora API keys server-side.
curl -X GET "https://api.crawlora.net/api/v1/linkedin/company/googledeepmind" \
-H "x-api-key: $CRAWLORA_API_KEY"