# Collect LinkedIn posts for employer brand research

**Use case:** 

Collect text, dates, author names and image references from selected LinkedIn posts to prepare an employer branding content review. Recruitment marketers can review how chosen posts describe workplace culture and employee experience. Select the relevant post URLs before running this task.

## Input

```json
{
  "inputList": [
    "https://www.linkedin.com/posts/linkedin_stay-up-to-date-on-your-linkedin-activity-activity-6124295313319538688-ILYg"
  ]
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "id": {
    "label": "ID",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "created_at": {
    "label": "Created At",
    "format": "string"
  },
  "author.type": {
    "label": "Author / Type",
    "format": "text"
  },
  "author.name": {
    "label": "Author / Name",
    "format": "text"
  },
  "author.url": {
    "label": "Author / URL",
    "format": "link"
  },
  "author.image": {
    "label": "Author / Image",
    "format": "image"
  },
  "author.followers": {
    "label": "Author / Followers",
    "format": "number"
  },
  "images.url": {
    "label": "Images / URL",
    "format": "array"
  },
  "images.width": {
    "label": "Images / Width",
    "format": "array"
  },
  "images.height": {
    "label": "Images / Height",
    "format": "array"
  },
  "images.caption": {
    "label": "Images / Caption",
    "format": "array"
  },
  "videos.url": {
    "label": "Videos / URL",
    "format": "array"
  },
  "videos.thumbnail_url": {
    "label": "Videos / Thumbnail URL",
    "format": "array"
  },
  "videos.duration": {
    "label": "Videos / Duration",
    "format": "array"
  },
  "videos.caption": {
    "label": "Videos / Caption",
    "format": "array"
  },
  "hashtags": {
    "label": "Hashtags",
    "format": "array"
  },
  "external_links": {
    "label": "External Links",
    "format": "array"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "comments_count": {
    "label": "Comments Count",
    "format": "integer"
  },
  "reposts": {
    "label": "Reposts",
    "format": "integer"
  },
  "comments.text": {
    "label": "Comments / Text",
    "format": "array"
  },
  "comments.created_at": {
    "label": "Comments / Created At",
    "format": "array"
  },
  "comments.likes": {
    "label": "Comments / Likes",
    "format": "array"
  },
  "comments.author.type": {
    "label": "Comments / Author / Type",
    "format": "array"
  },
  "comments.author.name": {
    "label": "Comments / Author / Name",
    "format": "array"
  },
  "comments.author.url": {
    "label": "Comments / Author / URL",
    "format": "array"
  },
  "comments.author.image": {
    "label": "Comments / Author / Image",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Post Scraper – Text, Media & Engagement](https://apify.com/scrapingmonkey/linkedin-post-details-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapingmonkey/linkedin-post-details-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).