# Search LinkedIn Posts by the Author's Industry

**Use case:** 

Search LinkedIn posts and keep only the ones written by people in the industries you sell to, picked by name from LinkedIn's own list of 487. Same keyword, only the authors who matter to you.

## Input

```json
{
  "search": [
    "ai agents"
  ],
  "maxPosts": 100,
  "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": [
    "4",
    "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": false,
  "maxReactionsPerPost": 5,
  "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).