Agent skill

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.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add gooseworks-ai/goose-skills --skill linkedin-commenter-extractor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/lead-generation/capabilities/linkedin-commenter-extractor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Quick Start
  2. How It Works
  3. CLI Reference
  4. Output Schema
  5. Cost
Ships with 2 files
  • scripts/extract_commenters.py
  • skill.meta.json
Commands it runs
Extract commenters from a single post
python3 skills/linkedin-commenter-extractor/scripts/extract_commenters.py \
Multiple posts
Limit comments per post
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
More from goose-skills
All skills →
create-music-elevenlabsGenerate an instrumental music bed via ElevenLabs Music, ROUTED THROUGH THE elevenlabs-proxy so it…Content & Marketingcreate-video-falImage-to-video (or text-to-video) via any FAL video model (Kling, Seedance, Veo), ROUTED THROUGH…Content & Marketingremix-graphic-ad-from-referenceRecreate a static graphic ad (Pinterest pin, IG/FB feed image, poster) from a reference image…Content & Marketingcreate-image-gpt-image-falGenerate a single photoreal or designed image with OpenAI gpt-image via fal.ai. Supports…Design & Presentationcreate-image-falGenerate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED…Content & Marketingcreate-vo-elevenlabsGenerate a voiceover (VO) clip via ElevenLabs text-to-speech, ROUTED THROUGH THE elevenlabs-proxy…Content & Marketing
About this skill
What does the linkedin-commenter-extractor skill do?

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.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill linkedin-commenter-extractor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.