LinkedIn API endpoint
Use Crawlora's Get Linkedin Showcase Page Info API to extract supported public LinkedIn data as structured JSON. This page includes request parameters, cURL examples, response schema, error behavior, credit cost, and a Playground link for testing before integration.
/linkedin/showcase/{id}Returns detailed information about a LinkedIn showcase page by ID. Developers commonly use this endpoint for data enrichment, monitoring, research dashboards, internal automation, and AI-agent workflows that need repeatable structured public web data. Authentication uses the documented Crawlora headers, and usage is metered with the credit cost shown on this page.
Request parameters are generated from the active endpoint catalog. Required values must be sent before Crawlora can call the upstream public web data source.
| Parameter | Type | Required | Default | Description | Example |
|---|---|---|---|---|---|
| id (path) | string | Yes | LinkedIn Showcase Page ID | ||
| x-api-key (header) | string | Yes | API key required |
curl -X GET "https://api.crawlora.net/api/v1/linkedin/showcase/example" \ -H "x-api-key: $CRAWLORA_API_KEY"
Send your scraping API key in the x-api-key header. Use the console API Keys page to rotate or select the active key.
Endpoint usage is metered in credits. The plan prices, included credits, limits, and overage rates below match the active backend billing configuration.
| Plan | Price | Included credits | Daily cap | Rate limit | Overage |
|---|---|---|---|---|---|
| Free | $0/mo | 2,000 | 500 daily credits | 5/min | No overage |
| Starter | $9/mo | 20,000 | 5,000 daily credits | 15/min | $0.75/1,000 overage credits when enabled |
| Growth | $29/mo | 100,000 | 25,000 daily credits | 45/min | $0.45/1,000 overage credits when enabled |
| Pro | $79/mo | 400,000 | No daily cap | 120/min | $0.30/1,000 overage credits |
| Business | $199/mo | 1,200,000 | No daily cap | 300/min | $0.20/1,000 overage credits |
| Enterprise | $499/mo | 5,000,000 | No daily cap | 1,000/min | $0.12/1,000 overage credits |
This endpoint is executed through Crawlora's managed scraping infrastructure.
Some targets require real browser execution because the data is loaded through JavaScript, dynamic rendering, or interaction-like browser behavior.
For supported endpoints, Crawlora can route requests through a managed browser cluster. This allows Crawlora to execute JavaScript, load dynamic content, apply browser-level request behavior, and normalize the rendered result into JSON.
You do not need to operate your own Playwright, Puppeteer, Chrome, proxy, queue, or retry infrastructure.
Crawlora does not silently return bad data when the upstream page cannot be used.
| Status | Common failure case |
|---|---|
| 400 | Invalid input or missing required parameter |
| 429 | Plan or endpoint rate limit exceeded |
| 500 | Internal execution error |
| 502 | Upstream platform failed, returned unusable HTML, or served a challenge page that could not be resolved |
When possible, Crawlora returns structured error context so your integration can retry, back off, or inspect the request.
| Status | Description | Schema |
|---|---|---|
| 400 | Invalid Params | #/definitions/app.Response |
| 429 | Rate limit exceeded | #/definitions/app.Response |
| 500 | Internal server error | #/definitions/app.Response |
{
"code": 200,
"msg": "OK",
"data": {
"name": "Think with Google",
"link": "https://www.linkedin.com/showcase/think-with-google",
"logo": "https://static.licdn.com/scds/common/u/images/email/artdeco/logos/96/linkedin-bug-color.png",
"headline": "",
"follower_count": 923484,
"num_of_employees_on_linkedin": 0
}
}Request schema
No body schema
Response schema
#/definitions/linkedin.showcaseResponseDoc
| 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... | |||
| data.affiliated_pages | array | No | ||||
| data.affiliated_pages[].address | string | No | San Francisco, CA | |||
| data.affiliated_pages[].industry | string | No | Research Services | |||
| data.affiliated_pages[].link | string | No | https://www.linkedin.com/company/openai | |||
| data.affiliated_pages[].name | string | No | OpenAI | |||
| data.company_size | string | No | 501-1,000 | |||
| data.follower_count | integer | No | 1176422 | |||
| data.founded_on | integer | No | 2010 | |||
| data.headline | string | No | We're committed to solving intelligence, to advance science and benefit humanity. | |||
| data.headquarters | string | No | London, London | |||
| data.industry | string | No | Research Services | |||
| data.link | string | No | https://www.linkedin.com/company/googledeepmind | |||
| data.locations | array | No | ||||
| data.locations[].address | string | No | Kings Cross, London, London N1C4AG, GB | |||
| data.locations[].is_primary | boolean | No | true | |||
| data.logo | string | No | https://static.licdn.com/.../linkedin-bug-color.png | |||
| data.name | string | No | Google DeepMind | |||
| data.num_of_employees_on_linkedin | integer | No | 5590 | |||
| data.similar_pages | array | No | ||||
| data.similar_pages[].address | string | No | San Francisco, CA | |||
| data.similar_pages[].industry | string | No | Research Services | |||
| data.similar_pages[].link | string | No | https://www.linkedin.com/company/openai | |||
| data.similar_pages[].name | string | No | OpenAI | |||
| data.specialties | string | No | Artificial Intelligence and Machine Learning | |||
| data.type | string | No | Privately Held | |||
| data.updates | array | No | ||||
| data.updates[].author | string | No | Google DeepMind | |||
| data.updates[].author_link | string | No | https://uk.linkedin.com/company/googledeepmind | |||
| data.updates[].images | array | No | ["https://example.com/image1.jpg"] | |||
| data.updates[].is_reposted | boolean | No | false | |||
| data.updates[].logo | string | No | https://media.licdn.com/dms/image/v2/D4E0BAQEntrYwxPlbQA/company-logo_100_100/0/googledeepmind_logo | |||
| data.updates[].num_of_comments | integer | No | 21 | |||
| data.updates[].num_of_reactions | integer | No | 571 | |||
| data.updates[].post_link | string | No | https://www.linkedin.com/posts/googledeepmind_thomas-story-activity-7313245349987385346-5COL | |||
| data.updates[].published_at | string | No | 1w | |||
| data.updates[].summary | string | No | When his son was diagnosed with a rare disease, Googler Thomas Wagner... | |||
| data.updates[].videos | array | No | ["https://example.com/video1.mp4"] | |||
| data.website | string | No | https://www.deepmind.google | |||
| msg | string | No | OK |
Use environment variables for secrets and keep Crawlora API keys server-side.
curl -X GET "https://api.crawlora.net/api/v1/linkedin/showcase/example" \
-H "x-api-key: $CRAWLORA_API_KEY"Crawlora is designed for responsible structured public web data workflows. Customers are responsible for using Crawlora in compliance with applicable laws, third-party rights, target-platform rules, and Crawlora terms.
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