# Bulk Scrape LinkedIn Posts from Multiple Companies

**Use case:** 

Paste multiple LinkedIn company URLs and get one combined dataset with every post from every company. One row per post, engagement metrics as columns, ready to export as CSV. Built for agencies running competitor sweeps, analysts tracking a portfolio, and marketing teams benchmarking content across an industry. No LinkedIn login required.

## Input

```json
{
  "companyUrls": [
    "https://www.linkedin.com/company/openai",
    "https://www.linkedin.com/company/anthropicresearch",
    "https://www.linkedin.com/company/google-deepmind"
  ],
  "max_posts": 50,
  "date_filter": "",
  "include_quote_posts": true,
  "include_reposts": true,
  "include_author_profile": false,
  "skip_empty_rows": false
}
```

## Output

```json
{
  "post_url": {
    "label": "Post URL",
    "format": "link"
  },
  "content": {
    "label": "Content",
    "format": "text"
  },
  "author_name": {
    "label": "Author",
    "format": "text"
  },
  "author_public_id": {
    "label": "Author public id",
    "format": "text"
  },
  "author_headline": {
    "label": "Author headline",
    "format": "text"
  },
  "author_industry": {
    "label": "Author industry",
    "format": "text"
  },
  "author_location": {
    "label": "Author location",
    "format": "text"
  },
  "author_followers": {
    "label": "Author followers",
    "format": "number"
  },
  "posted_at": {
    "label": "Posted at",
    "format": "date"
  },
  "likes": {
    "label": "Likes",
    "format": "number"
  },
  "comments": {
    "label": "Comments",
    "format": "number"
  },
  "shares": {
    "label": "Shares",
    "format": "number"
  },
  "reactions": {
    "label": "Reactions",
    "format": "text"
  },
  "company_url": {
    "label": "Company",
    "format": "link"
  },
  "scraped_at": {
    "label": "Scraped at",
    "format": "date"
  },
  "error": {
    "label": "Error"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Company Posts Scraper [NO COOKIES & NO LOGIN] ✅](https://apify.com/unseenuser/company-posts.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/unseenuser/company-posts.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/unseenuser/company-posts.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).