Post Engagement Scraper for LinkedIn - Commenters

The people who comment on a post are warm leads. This turns them into a list. Give it post URLs, or a company/profile whose recent posts you want mined, and get one row per person - enriched from their own public profile with job title, seniority, department, current company and location, and deduplicated across posts so a repeat engager arrives once with timesEngaged: 3.

No login, no cookies.

Why one row per person matters

A posts scraper gives you posts with comments nested inside them. That is the wrong shape for outreach: you cannot sort it, dedupe it, or push it into a CRM. This gives you the people.

Input

Field	What it does
postUrls	Exact posts to mine
companyUrls	Mine the recent posts of a company page
profileUrls	Mine the recent posts of a person
enrichProfiles	Open each commenter's profile for title, company, seniority, location (default on)
dedupePeople	One row per person with timesEngaged (default on)
includeCompanyPages	Include brand-account commenters (default off)
maxPostsPerSource / maxCommentsPerPost / maxResults	Caps

Output

{
  "type": "engager",
  "fullName": "Jesse Davies",
  "profileUrl": "https://www.linkedin.com/in/jessevent",
  "jobTitle": "Head of Product",
  "seniorityLevel": "VP/Director",
  "department": "Product",
  "currentCompany": "Acme",
  "locationName": "Sydney, New South Wales, Australia",
  "commentText": "This is exactly the gap we hit last quarter...",
  "commentPostedAgoText": "2w",
  "timesEngaged": 2,
  "engagedPostUrls": ["https://www.linkedin.com/posts/...", "https://www.linkedin.com/posts/..."],
  "postUrl": "https://www.linkedin.com/posts/supabase_...",
  "postAuthorName": "Supabase",
  "isCompanyPage": false,
  "profileEnriched": true,
  "leadScore": 78
}

What LinkedIn does and does not publish logged-out

Measured on this actor's own runs.

• Commenters: yes. Ten of ten carried a real profile URL on the test post, including country subdomains and brand accounts.
• Reactions: NO - and nothing here pretends otherwise. LinkedIn does not publish who liked a post to logged-out visitors: /reactions and /likes both return 404, the post page carries no reactor list, and /recent-activity/reactions answers 999. This actor returns commenters only. If a tool claims logged-out reaction lists, be sceptical.
• Roughly the top ten comments per post are published, not the full thread.
• Some members switch their public profile off, permanently answering 999. Those people still arrive (name, profile link, comment) with profileEnriched: false rather than being dropped.

Pricing

Pay-per-event: $0.005 per engager. Runs that find nobody charge nothing.

Use with AI assistants (MCP)

Works as a tool through the Apify MCP server - "who engaged with our competitor's last ten posts, and what do they do?"

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

Legal

Reads only what LinkedIn publishes to logged-out visitors; no login, no cookies, no private content. Commenter names and roles relate to identifiable people - in the EU/UK you are the data controller for the output, so have a lawful basis (usually legitimate interest for B2B) and honour deletion requests. Do not use it for spam.

Not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn is a trademark of LinkedIn Corporation.