# Detect LinkedIn Buying Signals from User Reactions

**Use case:** 

Reactions are the cheapest buying signal to read at scale. This task collects what your target accounts reacted to in the last month, so you can spot the moment several people at one company start engaging with the same problem. That clustering usually means an internal conversation is already underway, and the specific post gives you the opening line.

## Input

```json
{
  "profiles": [
    "https://www.linkedin.com/in/davegerhardt",
    "https://www.linkedin.com/in/chriswalker171"
  ],
  "scrapeType": "reactions",
  "postedLimit": "month",
  "commentsLimit": 10,
  "reactionsLimit": 10
}
```

## Output

```json
{
  "action": {
    "label": "Reaction Type",
    "format": "string"
  },
  "post.post_author.name": {
    "label": "Post Author",
    "format": "string"
  },
  "post.post_author.headline": {
    "label": "Post Author Title",
    "format": "string"
  },
  "post.post_author.linkedin_url": {
    "label": "Post Author Profile",
    "format": "string"
  },
  "post.post_text": {
    "label": "Post Text",
    "format": "string"
  },
  "post.post_url": {
    "label": "Post URL",
    "format": "string"
  },
  "post.post_urn": {
    "label": "Post URN",
    "format": "string"
  },
  "post.post_stats.total_reactions": {
    "label": "Post Reactions",
    "format": "integer"
  },
  "post.post_stats.comments": {
    "label": "Post Comments",
    "format": "integer"
  },
  "post.post_stats.reposts": {
    "label": "Post Reposts",
    "format": "integer"
  },
  "post.post_stats.reactions.like": {
    "label": "Post Likes",
    "format": "integer"
  },
  "post.post_stats.reactions.appreciation": {
    "label": "Post Appreciations",
    "format": "integer"
  },
  "post.post_stats.reactions.empathy": {
    "label": "Post Empathy",
    "format": "integer"
  },
  "post.post_stats.reactions.interest": {
    "label": "Post Interest",
    "format": "integer"
  },
  "post.post_stats.reactions.praise": {
    "label": "Post Praise",
    "format": "integer"
  },
  "post.article.title": {
    "label": "Article Title",
    "format": "string"
  },
  "post.article.url": {
    "label": "Article URL",
    "format": "string"
  },
  "post.article.source": {
    "label": "Article Source",
    "format": "string"
  },
  "post.video.url": {
    "label": "Video URL",
    "format": "string"
  },
  "post.video.duration": {
    "label": "Video Duration",
    "format": "number"
  },
  "post.created_at.formatted": {
    "label": "Post Date",
    "format": "string"
  },
  "post.created_at.relative": {
    "label": "Post Age",
    "format": "string"
  },
  "post.created_at.timestamp": {
    "label": "Post Timestamp",
    "format": "integer"
  },
  "source_profile": {
    "label": "Source Profile",
    "format": "string"
  },
  "profile_input": {
    "label": "Profile Input",
    "format": "string"
  },
  "page_number": {
    "label": "Page",
    "format": "integer"
  },
  "post.images": {
    "label": "Post Images",
    "format": "array"
  },
  "post.post_author.first_name": {
    "label": "Post Author First Name",
    "format": "string"
  },
  "post.post_author.last_name": {
    "label": "Post Author Last Name",
    "format": "string"
  },
  "post.post_author.title": {
    "label": "Post Author Position",
    "format": "string"
  },
  "post.post_author.profile_picture": {
    "label": "Post Author Photo",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅](https://apify.com/unseenuser/linkedin-user-comments-reactions.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/unseenuser/linkedin-user-comments-reactions.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/unseenuser/linkedin-user-comments-reactions.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`).