# Find Warm Leads on LinkedIn: AI ICP Scoring on Comments

**Use case:** 

Every time a competitor posts something viral on LinkedIn, dozens of your ideal customers show up in the comments and reactions. This task pulls all of them, deduplicates into unique engagers, and scores each against your ICP with Claude Haiku - seniority, decision-maker flag, buying intent, sentiment. A ready-to-sort warm-lead list from one comment URL.

## Input

```json
{
  "comment_urls": [
    "https://www.linkedin.com/feed/update/urn:li:activity:7408723748973056001?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7408723748973056001%2C7408723949095772161%29"
  ],
  "include_replies": true,
  "include_reactions": true,
  "max_replies": 0,
  "max_reactions": 0,
  "sort_replies_by": "date",
  "emit_engagers": true,
  "enrich_engagers": true,
  "anthropic_api_key": "<YOUR_SECRET>",
  "icp_description": "B2B SaaS founders and heads of growth at 20-500 person companies in North America or Europe."
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "string"
  },
  "comment_url": {
    "label": "Comment url",
    "format": "string"
  },
  "author_name": {
    "label": "Author name",
    "format": "string"
  },
  "reactor_name": {
    "label": "Reactor name",
    "format": "string"
  },
  "reaction_type": {
    "label": "Reaction type",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "created_at": {
    "label": "Created at",
    "format": "string"
  },
  "author_position": {
    "label": "Author position",
    "format": "string"
  },
  "reactor_position": {
    "label": "Reactor position",
    "format": "string"
  },
  "author_linkedin_url": {
    "label": "Author linkedin url",
    "format": "string"
  },
  "reactor_linkedin_url": {
    "label": "Reactor linkedin url",
    "format": "string"
  },
  "error_code": {
    "label": "Error code",
    "format": "string"
  },
  "error_description": {
    "label": "Error description",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅](https://apify.com/unseenuser/comment-reactions-and-replies.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/unseenuser/comment-reactions-and-replies.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/comment-reactions-and-replies.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`).