# Track Every LinkedIn Post Mentioning a Brand

**Use case:** 

Find every LinkedIn post that mentions a company from the past week, newest first. Get post text, author, date, likes, comments and shares for brand monitoring.

## Input

```json
{
  "mode": "search",
  "searchKeywords": [
    "#GenAI"
  ],
  "maxResults": 100,
  "datePosted": "week",
  "sortBy": "date",
  "authorsCompany": [],
  "authorKeywords": [],
  "groups": [],
  "mentioningCompanies": [
    "https://www.linkedin.com/company/microsoft"
  ],
  "postUrls": []
}
```

## Output

```json
{
  "author.name": {
    "label": "Author"
  },
  "author.linkedinUrl": {
    "label": "Author profile",
    "format": "link"
  },
  "content": {
    "label": "Content"
  },
  "linkedinUrl": {
    "label": "Post URL",
    "format": "link"
  },
  "engagement.likes": {
    "label": "Likes",
    "format": "number"
  },
  "engagement.comments": {
    "label": "Comments",
    "format": "number"
  },
  "engagement.shares": {
    "label": "Shares",
    "format": "number"
  },
  "engagement.reactions": {
    "label": "Reactions"
  }
}
```

## How it works

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

The LinkedIn Posts Scraper - Keyword & Hashtag \[NO COOKIES\] ✅ Actor is ready to run with the inputs already set for "Track Every LinkedIn Post Mentioning a Brand". [Sign up or log in](https://console.apify.com/create-task-from-example/La9owPbyNPyWGrchF) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track Every LinkedIn Post Mentioning a Brand" task

The LinkedIn Posts Scraper - Keyword & Hashtag \[NO COOKIES\] ✅ Actor will start running based on the input automatically. You can also change all the input fields, like step 1: what do you want to do?, keywords or hashtags (bulk supported), and more, to match your specific use case.

### 3. Receive the "Track Every LinkedIn Post Mentioning a Brand" 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 author, author profile, content, 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 "Track Every LinkedIn Post Mentioning a Brand" task via API](https://apify.com/unseenuser/linkedin-post-seach-scraper.md).

## FAQ

### How do I find every LinkedIn post that mentions my brand?

Put your company page in Posts that mention these companies, replacing Microsoft. A full URL or a short handle like stripe works, and every post tagging or @-mentioning that company is returned.

### What data comes back for each brand mention?

Each row has the post URL, post text, author name and public ID, posting date, and engagement counts for likes, comments and shares.

### Can I change the time window for brand mentions?

Yes. Posted within offers past hour, 24 hours, week, month, 3 months, 6 months, year or any time. This task uses the past week, sorted by date so the newest posts come first.

### How many mentions can one run return?

The task is saved at 100 posts. Set How many posts to return to any number, or to 0 to return every result the search finds.

### Does LinkedIn brand monitoring need cookies or a login?

No. The actor needs no login and no cookies to search public LinkedIn posts.

## About this Actor

This example demonstrates how to use [LinkedIn Posts Scraper - Keyword & Hashtag [NO COOKIES] ✅](https://apify.com/unseenuser/linkedin-post-seach-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/unseenuser/linkedin-post-seach-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/unseenuser/linkedin-post-seach-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`).