# Microsoft and Google: company details, posts and job cards

**Use case:** 

Look up Microsoft and Google without login: LinkedIn's stated company details, recent posts and two guest job cards each.

## Input

```json
{
  "companies": [
    "microsoft",
    "google"
  ],
  "includeFacts": true,
  "includePosts": true,
  "includeJobs": true,
  "maxJobsPerCompany": 2
}
```

## Output

```json
{
  "recordType": {
    "label": "recordType"
  },
  "organizationId": {
    "label": "organizationId"
  },
  "vanityName": {
    "label": "vanityName"
  },
  "sourceUrl": {
    "label": "sourceUrl"
  },
  "name": {
    "label": "name"
  },
  "tagline": {
    "label": "tagline"
  },
  "industry": {
    "label": "industry"
  },
  "sizeBand": {
    "label": "sizeBand"
  },
  "headquarters": {
    "label": "headquarters"
  },
  "website": {
    "label": "website"
  },
  "followerCountText": {
    "label": "followerCountText"
  },
  "specialties": {
    "label": "specialties"
  },
  "logoUrl": {
    "label": "logoUrl"
  },
  "description": {
    "label": "About / description"
  },
  "employeeCount": {
    "label": "Employee count (people)"
  },
  "companyType": {
    "label": "Company type"
  },
  "foundedYear": {
    "label": "Founded (calendar year)"
  },
  "headquartersAddress": {
    "label": "Structured headquarters address"
  },
  "locations": {
    "label": "All root office addresses"
  },
  "followerCount": {
    "label": "Follower count (people)"
  },
  "affiliatedPages": {
    "label": "Affiliated company pages"
  },
  "similarPages": {
    "label": "Similar company pages"
  },
  "funding": {
    "label": "Funding as stated, with source units"
  },
  "coverImageUrl": {
    "label": "Company cover image URL"
  },
  "jobSearchUrl": {
    "label": "Displayed jobs link (may include affiliates)"
  },
  "postUrl": {
    "label": "postUrl"
  },
  "postUrn": {
    "label": "postUrn"
  },
  "postedAgeText": {
    "label": "postedAgeText"
  },
  "postedAt": {
    "label": "postedAt"
  },
  "text": {
    "label": "text"
  },
  "reactionCountText": {
    "label": "reactionCountText"
  },
  "commentCountText": {
    "label": "commentCountText"
  },
  "repostCountText": {
    "label": "repostCountText"
  },
  "hasMedia": {
    "label": "hasMedia"
  },
  "hasLink": {
    "label": "hasLink"
  },
  "jobId": {
    "label": "jobId"
  },
  "title": {
    "label": "title"
  },
  "location": {
    "label": "location"
  },
  "jobUrl": {
    "label": "jobUrl"
  },
  "scrapedAt": {
    "label": "scrapedAt (UTC read time)"
  },
  "cached": {
    "label": "cached"
  },
  "changeStatus": {
    "label": "changeStatus"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Company Scraper: Details, Posts & Jobs Actor is ready to run with the inputs already set for "Microsoft and Google: company details, posts and job cards". [Sign up or log in](https://console.apify.com/create-task-from-example/2KP6gtpOPQBpaVOZF) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Microsoft and Google: company details, posts and job cards" task

The LinkedIn Company Scraper: Details, Posts & Jobs Actor will start running based on the input automatically. You can also change all the input fields, like company pages, company facts, and more, to match your specific use case.

### 3. Receive the "Microsoft and Google: company details, posts and job cards" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as recordtype, organizationid, vanityname, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Microsoft and Google: company details, posts and job cards" task via API](https://apify.com/danthedataman/linkedin-company-activity-ledger.md).

## About this Actor

This example demonstrates how to use [LinkedIn Company Scraper: Details, Posts & Jobs](https://apify.com/danthedataman/linkedin-company-activity-ledger.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/danthedataman/linkedin-company-activity-ledger.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/danthedataman/linkedin-company-activity-ledger.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`).