Post Engagement Scraper for LinkedIn - Commenters

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "LinkedIn" is referenced only to describe the publicly available website this Actor collects data from.

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.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API - start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python - official SDKs.
• Schedules - run it hourly, daily or weekly and keep your dataset current.
• Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/linkedin-post-engagement-scraper').call({
    "companyUrls": [
        "https://www.linkedin.com/company/supabase"
    ],
    "maxPostsPerSource": 10,
    "maxResults": 100,
    "enrichProfiles": true,
    "dedupePeople": true,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Integrate with any app

Connect the dataset to thousands of apps - no code required:

• Make - multi-step automation scenarios.
• Zapier - push new records straight into your CRM or spreadsheet.
• Slack - get notified when a scheduled run finds something new.
• Google Drive / Sheets - auto-export every run to a spreadsheet.
• Airbyte - pipe results into your data warehouse.
• GitHub - trigger runs from commits or releases.

More scrapers from scrapesage

Related Actors in the same category:

• Twitter (X) Scraper - Tweets, Profiles & Monitor
• Instagram Hashtag Scraper - Filtered Post Search
• LinkedIn Profile Scraper - People, Job Changes & B2B Leads
• LinkedIn Ad Library Scraper - Competitor B2B Ads & Creatives
• YouTube Scraper - Channels, Videos & Creator Leads

FAQ

How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.

Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.

Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.

Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.

Is it legal to scrape LinkedIn? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See Legal and the Disclaimer below.

Is this an official LinkedIn tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from LinkedIn Corporation. See the Disclaimer below.

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.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

"LinkedIn" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official LinkedIn product, is not authorised or certified by LinkedIn Corporation, and does not distribute LinkedIn software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

Need help?

Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.