> 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.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill 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.
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
harvestapi~linkedin-post-comments Apify actor (no cookies needed)| 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 |
{
"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://..."
}
Uses harvestapi~linkedin-post-comments Apify actor — ~$2 per 1,000 comments. No LinkedIn cookies or login required.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take gooseworks-ai/linkedin-commenter-extractor from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.