Skip to main content

linkedin-commenter-extractor

Extract commenters from LinkedIn posts via Apify. Returns commenter names, titles, LinkedIn profile URLs, and comment text. Use to find warm leads engaging with relevant discussions. No LinkedIn cookies required.

Source facts

Repository
criptogus/agent-evolve-network
Last source activity
July 4, 2026 at 17:42
Detected SKILL.md language
English
Stars
275
Forks
3

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer
3 files

Showing SKILL.md

SKILL.md
Source instructions · Read-only preview
name
linkedin-commenter-extractor
description
Extract commenters from LinkedIn posts via Apify. Returns commenter names, titles, LinkedIn profile URLs, and comment text. Use to find warm leads engaging with relevant discussions. No LinkedIn cookies required.
# LinkedIn Commenter Extractor Extract names, titles, companies, LinkedIn URLs, and comment text from people who commented on specific LinkedIn posts. Uses Apify — no LinkedIn cookies required. ## Quick Start Requires `requests` and `APIFY_API_TOKEN` environment variable. ```bash # Extract commenters from a single post python3 skills/linkedin-commenter-extractor/scripts/extract_commenters.py \ --post-url "https://www.linkedin.com/posts/someone_topic-activity-123456789" # Multiple posts python3 skills/linkedin-commenter-extractor/scripts/extract_commenters.py \ --post-url URL1 --post-url URL2 # Limit comments per post python3 skills/linkedin-commenter-extractor/scripts/extract_commenters.py \ --post-url URL --max-comments 50 # Output formats python3 skills/linkedin-commenter-extractor/scripts/extract_commenters.py --post-url URL --output json python3 skills/linkedin-commenter-extractor/scripts/extract_commenters.py --post-url URL --output csv python3 skills/linkedin-commenter-extractor/scripts/extract_commenters.py --post-url URL --output summary # Deduplicate across multiple posts python3 skills/linkedin-commenter-extractor/scripts/extract_commenters.py \ --post-url URL1 --post-url URL2 --dedup ``` ## How It Works 1. Takes one or more LinkedIn post URLs 2. Calls the `harvestapi~linkedin-post-comments` Apify actor (no cookies needed) 3. Extracts commenter name, headline (title + company), LinkedIn profile URL, and comment text 4. Parses headline into separate title and company fields where possible 5. Optionally deduplicates across multiple posts by LinkedIn profile URL ## CLI Reference | Flag | Default | Description | |------|---------|-------------| | `--post-url` | *required* | LinkedIn post URL (can be repeated for multiple posts) | | `--max-comments` | 100 | Max comments to extract per post | | `--output` | json | Output format: `json`, `csv`, `summary` | | `--dedup` | false | Deduplicate commenters across multiple posts | | `--token` | env var | Apify API token (overrides APIFY_API_TOKEN env var) | | `--timeout` | 120 | Max seconds to wait for Apify run | ## Output Schema ```json { "name": "Jane Smith", "headline": "VP of Finance at Acme Corp", "title": "VP of Finance", "company": "Acme Corp", "linkedin_url": "https://www.linkedin.com/in/janesmith", "comment_text": "Great insights on AI in accounting...", "post_url": "https://www.linkedin.com/posts/...", "profile_image_url": "https://..." } ``` ## Cost Uses `harvestapi~linkedin-post-comments` Apify actor — ~$2 per 1,000 comments. No LinkedIn cookies or login required.
View on GitHub