skills/capabilities/review-scraper/SKILL.md
Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites.
npx skillsauth add athina-ai/goose-skills review-scraperInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Scrape product reviews from G2, Capterra, and Trustpilot using platform-specific Apify actors.
Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.
# Trustpilot reviews
python3 skills/review-scraper/scripts/scrape_reviews.py \
--platform trustpilot \
--url "https://www.trustpilot.com/review/example.com" \
--max-reviews 10 --output summary
# G2 reviews with keyword filter
python3 skills/review-scraper/scripts/scrape_reviews.py \
--platform g2 \
--url "https://www.g2.com/products/example/reviews" \
--keywords "pricing,support"
# Capterra reviews
python3 skills/review-scraper/scripts/scrape_reviews.py \
--platform capterra \
--url "https://www.capterra.com/p/12345/Example"
| Platform | Actor | Cost |
|----------|-------|------|
| G2 | zen-studio/g2-reviews-scraper | Free tier available |
| Capterra | imadjourney/capterra-reviews-scraper | Pay-per-result |
| Trustpilot | agents/trustpilot-reviews | ~$0.20/1k reviews |
| Flag | Default | Description |
|------|---------|-------------|
| --platform | required | g2, capterra, or trustpilot |
| --url | required | Product review page URL |
| --max-reviews | 50 | Max reviews to scrape |
| --keywords | none | Keywords to filter (comma-separated, OR logic) |
| --days | none | Only include reviews from last N days |
| --output | json | Output format: json or summary |
| --token | env var | Apify token (prefer APIFY_API_TOKEN env var) |
| --timeout | 300 | Max seconds for Apify run |
All platforms are normalized to the same schema:
{
"platform": "trustpilot",
"title": "Review title",
"text": "Review body text",
"rating": 4,
"author": "Reviewer Name",
"date": "2026-02-18",
"pros": "What they liked (G2/Capterra only)",
"cons": "What they disliked (G2/Capterra only)",
"url": "https://..."
}
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