# Enrich a B2B company list with LinkedIn data

**Use case:** 

Collect websites, industries, size ranges, headquarters and business descriptions from a supplied list of public LinkedIn company pages. Keep one organization per row to prepare company records for your CRM or account database. The task requires company slugs or URLs and does not find contact emails.

## Input

```json
{
  "inputList": [
    "microsoft",
    "salesforce",
    "adobe"
  ]
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "id": {
    "label": "ID",
    "format": "string"
  },
  "slug": {
    "label": "Slug",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "logo": {
    "label": "Logo",
    "format": "string"
  },
  "cover_image": {
    "label": "Cover Image",
    "format": "string"
  },
  "tagline": {
    "label": "Tagline",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "company_size": {
    "label": "Company Size",
    "format": "string"
  },
  "headquarters": {
    "label": "Headquarters",
    "format": "string"
  },
  "organization_type": {
    "label": "Organization Type",
    "format": "string"
  },
  "founded": {
    "label": "Founded",
    "format": "string"
  },
  "specialties": {
    "label": "Specialties",
    "format": "array"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "followers": {
    "label": "Followers",
    "format": "integer"
  },
  "employees_count": {
    "label": "Employees Count",
    "format": "integer"
  },
  "alumni_count": {
    "label": "Alumni Count",
    "format": "integer"
  },
  "locations.is_primary": {
    "label": "Locations / Is Primary",
    "format": "array"
  },
  "locations.address": {
    "label": "Locations / Address",
    "format": "array"
  },
  "locations.directions_url": {
    "label": "Locations / Directions URL",
    "format": "array"
  },
  "affiliated_pages.name": {
    "label": "Affiliated Pages / Name",
    "format": "array"
  },
  "affiliated_pages.url": {
    "label": "Affiliated Pages / URL",
    "format": "array"
  },
  "affiliated_pages.logo": {
    "label": "Affiliated Pages / Logo",
    "format": "array"
  },
  "affiliated_pages.industry": {
    "label": "Affiliated Pages / Industry",
    "format": "array"
  },
  "affiliated_pages.location": {
    "label": "Affiliated Pages / Location",
    "format": "array"
  },
  "similar_pages.name": {
    "label": "Similar Pages / Name",
    "format": "array"
  },
  "similar_pages.url": {
    "label": "Similar Pages / URL",
    "format": "array"
  },
  "similar_pages.logo": {
    "label": "Similar Pages / Logo",
    "format": "array"
  },
  "similar_pages.industry": {
    "label": "Similar Pages / Industry",
    "format": "array"
  },
  "similar_pages.location": {
    "label": "Similar Pages / Location",
    "format": "array"
  },
  "featured_people.name": {
    "label": "Featured People / Name",
    "format": "array"
  },
  "featured_people.url": {
    "label": "Featured People / URL",
    "format": "array"
  },
  "featured_people.image": {
    "label": "Featured People / Image",
    "format": "array"
  },
  "featured_people.occupation": {
    "label": "Featured People / Occupation",
    "format": "array"
  },
  "jobs_url": {
    "label": "Jobs URL",
    "format": "string"
  },
  "is_school": {
    "label": "Is School",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Company Scraper – Profiles & Business Data](https://apify.com/scrapingmonkey/linkedin-company-details-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapingmonkey/linkedin-company-details-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).