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.

# 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:

{
  "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://..."
}