# LinkedIn Post IDs and Author Keys for Data Joins

**Use case:** 

Collect post URNs, activity IDs, UGC post IDs, author IDs, author URNs, public identifiers, and profile URLs for safe LinkedIn data joins.

## Input

```json
{
  "startUrls": [
    "https://www.linkedin.com/posts/timferriss_i-took-my-whole-genome-dumped-it-into-ai-activity-7333162625675038720-TJPX"
  ]
}
```

## Output

```json
{
  "inputUrl": {
    "label": "Input URL",
    "format": "string"
  },
  "url": {
    "label": "Post URL",
    "format": "string"
  },
  "activityId": {
    "label": "Activity ID",
    "format": "string"
  },
  "ugcPostId": {
    "label": "UGC Post ID",
    "format": "string"
  },
  "postUrn": {
    "label": "Post URN",
    "format": "string"
  },
  "authorName": {
    "label": "Author",
    "format": "string"
  },
  "authorId": {
    "label": "Author ID",
    "format": "string"
  },
  "authorUrn": {
    "label": "Author URN",
    "format": "string"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "text": {
    "label": "Post Text",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published At",
    "format": "string"
  },
  "likesCount": {
    "label": "Likes",
    "format": "integer"
  },
  "commentsCount": {
    "label": "Comments",
    "format": "integer"
  },
  "repostsCount": {
    "label": "Reposts",
    "format": "integer"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "statusReason": {
    "label": "Status Reason",
    "format": "string"
  },
  "observedAt": {
    "label": "Observed At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Post Scraper](https://apify.com/chronometrica/linkedin-post-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/chronometrica/linkedin-post-scraper) 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/chronometrica/linkedin-post-scraper.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).