linkedin-commenter-extractor

Extract commenter details from LinkedIn posts via Apify.

1.1k|200|Updated Mar 2, 2026

Search Tags:#social media #linkedin #sales intelligence #lead generation #outreach #comment extraction

Ready to run

npx skills add https://github.com/athina-ai/goose-skills --skill linkedin-commenter-extractor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: linkedin-commenter-extractor
Source: https://github.com/athina-ai/goose-skills/tree/main/skills/capabilities/linkedin-commenter-extractor
Command: npx skills add https://github.com/athina-ai/goose-skills --skill linkedin-commenter-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

This Skill helps you identify and engage with potential leads by extracting valuable information from users commenting on LinkedIn posts.

Core Features & Use Cases

Extract Commenter Details: Gathers names, titles, company affiliations, LinkedIn profile URLs, and comment text.
Warm Lead Identification: Pinpoints individuals actively engaging with content relevant to your business.
No Cookies Required: Leverages Apify for data extraction, simplifying the process.
Use Case: Identify prospects discussing industry trends on a competitor's post or a thought leader's update.

Quick Start

Use the linkedin-commenter-extractor skill to extract commenters from the LinkedIn post at https://www.linkedin.com/posts/someone_topic-activity-123456789.

Frequently Asked Questions about linkedin-commenter-extractor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract LinkedIn comments for lead generation?▼

You can extract LinkedIn comments for lead generation by providing a specific LinkedIn post URL to this Skill, which then retrieves commenter names, titles, company affiliations, profile URLs, and comment text via the Apify platform.

What information can I get from extracting commenters on a LinkedIn post?▼

Extracting commenters on a LinkedIn post provides names, professional titles, company affiliations, LinkedIn profile URLs, and the specific comment text, helping you identify warm leads actively engaging with relevant industry discussions.

Do I need an Apify API token to extract LinkedIn post comments?▼

Yes, you need an Apify API token to extract LinkedIn post comments because the Skill leverages the harvestapi~linkedin-post-comments actor on the Apify platform to retrieve the data without requiring browser cookies.

Can I find warm leads from LinkedIn discussions without using browser cookies?▼

Yes, you can find warm leads from LinkedIn discussions without browser cookies by using this Skill's Apify integration, which directly accesses commenter details from targeted posts to bypass standard authentication requirements.

What is the best way to identify engaged users from a competitor's LinkedIn post?▼

The best way to identify engaged users from a competitor's LinkedIn post is to use comment extraction, which pinpoints individuals actively discussing industry trends and captures their professional details for subsequent outreach.

Why does extracting LinkedIn commenters require the requests library?▼

Extracting LinkedIn commenters requires the Python requests library to handle the HTTP communication needed to authenticate and retrieve data securely from the Apify harvestapi~linkedin-post-comments actor.