# LinkedIn Funding Posts Scraper

**Use case:** 

Funding announcements land on LinkedIn the same day they are made public. This example collects posts about funding rounds with the author, the post text, the date and the link. Sales teams treat a fresh raise as a buying signal, and investors use the same feed to see which companies just got their war chest. Add a date filter to keep only the newest.

## Input

```json
{
  "keywords": [
    "funding round"
  ],
  "postUrls": [],
  "profileUrls": [],
  "dateFilter": "",
  "limit": 25,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "authorName": {
    "label": "Author name"
  },
  "text": {
    "label": "Text"
  },
  "url": {
    "label": "Url"
  },
  "numLikes": {
    "label": "Num likes"
  },
  "numComments": {
    "label": "Num comments"
  },
  "postedAtISO": {
    "label": "Posted at iso"
  },
  "type": {
    "label": "Type"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles](https://apify.com/silentflow/linkedin-posts-scraper-ppr.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/silentflow/linkedin-posts-scraper-ppr.md) to learn more, explore other use cases, and run it yourself.


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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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/silentflow/linkedin-posts-scraper-ppr.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).