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/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.

From plugin
goose-skills
1.2k200 skills
Install
$ npx -y skills add gooseworks-ai/goose-skills --skill linkedin-commenter-extractor --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/linkedin-commenter-extractor

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

linkedin-commenter-extractor.SKILL.md
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.

# 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

{
  "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.

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