Agent skill

review-scraper

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.

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/review-scraper

SKILL.md

Review Scraper

Scrape product reviews from G2, Capterra, and Trustpilot using platform-specific Apify actors.

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.

bash
# 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"

Supported Platforms

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

CLI Reference

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

Normalized Output Schema

All platforms are normalized to the same schema:

json
{
  "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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