Review scraper

Skill gooseworks-ai/goose-skills/skills/monitoring/capabilities/review-scraper

Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping

Install

npx -y skills add gooseworks-ai/goose-skills --skill review-scraper

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What its author says it does

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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.

SKILL.md

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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://..."
}