# Search LinkedIn Posts and Get Everyone Who Reacted

**Use case:** 

Search LinkedIn posts by keyword and get every person who reacted to each one, with their name, headline and profile. The topic finds the conversation and the reactions turn it into a warm list of people already interested.

## Input

```json
{
  "search": [
    "ai agents"
  ],
  "maxPosts": 50,
  "postedLimit": "week",
  "postedAfter": "2026-09-01",
  "contentType": "all",
  "profile": [
    "https://www.linkedin.com/in/williamhgates"
  ],
  "company": [
    "https://www.linkedin.com/company/microsoft/"
  ],
  "authorsCompany": [
    "https://www.linkedin.com/company/microsoft/"
  ],
  "authorKeywords": "founder",
  "authorsIndustryId": [
    "96"
  ],
  "group": "https://www.linkedin.com/groups/12345/",
  "mentioningCompany": [
    "https://www.linkedin.com/company/microsoft/"
  ],
  "mentioningMember": [
    "https://www.linkedin.com/in/williamhgates/"
  ],
  "includeAuthorDetails": false,
  "includeReactions": true,
  "maxReactionsPerPost": 100,
  "includeComments": false,
  "maxCommentsPerPost": 5
}
```

## Output

```json
{
  "type": {
    "label": "Row type",
    "format": "string"
  },
  "post_type": {
    "label": "Post type",
    "format": "string"
  },
  "author_name": {
    "label": "Author name",
    "format": "string"
  },
  "content": {
    "label": "Content",
    "format": "string"
  },
  "post_url": {
    "label": "Post URL",
    "format": "string"
  },
  "posted_at": {
    "label": "Posted at",
    "format": "string"
  },
  "engagement": {
    "label": "Engagement",
    "format": "object"
  },
  "is_repost": {
    "label": "Is repost",
    "format": "boolean"
  },
  "_metadata": {
    "label": "Metadata",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Post Search ✅ NO COOKIES](https://apify.com/atomus/linkedin-post-search.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/atomus/linkedin-post-search.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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **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/atomus/linkedin-post-search.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).