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ClaudeWave
Skill730 estrellas del repoactualizado 11d ago

linkedin-commenter-extractor

This skill extracts commenter metadata including names, titles, companies, LinkedIn URLs, and comment text from LinkedIn posts using the Apify API, without requiring LinkedIn credentials. Use it to analyze engagement on specific posts, build contact lists from commenters, or identify professionals interested in particular topics.

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git clone --depth 1 https://github.com/gooseworks-ai/goose-skills /tmp/linkedin-commenter-extractor && cp -r /tmp/linkedin-commenter-extractor/skills/capabilities/linkedin-commenter-extractor ~/.claude/skills/linkedin-commenter-extractor
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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 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.