# LinkedIn Hiring Posts Scraper

**Use case:** 

Hiring announcements are posted on LinkedIn long before the job hits a job board. This example collects posts mentioning hiring from the past month, with the author, the post text, engagement counts and the link. Recruiters use it to reach hiring managers early, and sales teams use it as a growth signal for outbound.

## Input

```json
{
  "keywords": [
    "hiring"
  ],
  "postUrls": [],
  "profileUrls": [],
  "dateFilter": "past-month",
  "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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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).