# Identify B2B Leads from LinkedIn Post Engagement

**Use case:** 

Scrape all 'Love' and 'Insightful' reactions from key industry posts to identify highly engaged B2B prospects. This helps sales teams prioritize outreach to ind

## Input

```json
{
  "postUrls": [
    "https://www.linkedin.com/feed/update/urn:li:activity:7189191060000000000/",
    "https://www.linkedin.com/posts/apify_data-extraction-ai-activity-7189201060000000000-XYZ/"
  ],
  "cookie": "***",
  "maxReactorsPerPost": 200,
  "reactionTypeFilter": [
    "love",
    "insightful"
  ],
  "reactionTypes": [
    "LIKE",
    "PRAISE",
    "EMPATHY",
    "INTEREST",
    "APPRECIATION",
    "ENTERTAINMENT"
  ],
  "language": "en_US"
}
```

## Output

```json
{
  "reactorName": {
    "label": "Name",
    "format": "text"
  },
  "reactionType": {
    "label": "Reaction",
    "format": "text"
  },
  "reactorHeadline": {
    "label": "Headline",
    "format": "text"
  },
  "reactorProfileUrl": {
    "label": "Profile URL",
    "format": "link"
  },
  "postId": {
    "label": "Post ID",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "datetime"
  }
}
```

## About this Actor

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