# Turn LinkedIn company links into a firmographics table

**Use case:** 

Paste a list of public LinkedIn company links and get one row per company: industry, size, employees, headquarters, founding year and website, no login.

## Input

```json
{
  "companies": [
    "https://www.linkedin.com/company/stripe",
    "https://www.linkedin.com/company/shopify",
    "https://www.linkedin.com/company/microsoft",
    "https://www.linkedin.com/company/salesforce",
    "https://www.linkedin.com/company/hubspot",
    "https://www.linkedin.com/company/airbnb",
    "https://www.linkedin.com/company/spotify",
    "https://www.linkedin.com/company/atlassian",
    "https://www.linkedin.com/company/datadog",
    "https://www.linkedin.com/company/cloudflare",
    "https://www.linkedin.com/company/figma"
  ],
  "testRun": false,
  "onlyFound": false,
  "includeKeywords": [],
  "excludeKeywords": [],
  "columns": [
    "companyUrl",
    "slug",
    "name",
    "tagline",
    "description",
    "industry",
    "companySize",
    "employeesOnLinkedIn",
    "headquarters",
    "founded",
    "companyType",
    "website",
    "specialties",
    "followerCount",
    "logoUrl",
    "source",
    "masked"
  ],
  "maxConcurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "query": {
    "label": "Query",
    "format": "string"
  },
  "found": {
    "label": "Found",
    "format": "boolean"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "message": {
    "label": "Message",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "slug": {
    "label": "Slug",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "companySize": {
    "label": "Company size",
    "format": "string"
  },
  "employeesOnLinkedIn": {
    "label": "Employees on linked in",
    "format": "number"
  },
  "headquarters": {
    "label": "Headquarters",
    "format": "string"
  },
  "founded": {
    "label": "Founded",
    "format": "number"
  },
  "companyType": {
    "label": "Company type",
    "format": "string"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Company Lookup: linkedin company scraper from $5/1k](https://apify.com/accountable_eel/linkedin-company-lookup.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/accountable_eel/linkedin-company-lookup.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/accountable_eel/linkedin-company-lookup.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).