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/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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goose-skills
1.2k200 skills
Install
$ npx -y skills add gooseworks-ai/goose-skills --skill review-scraper --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/review-scraper

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

review-scraper.SKILL.md
name: review-scraper
description: >
  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.

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://..."
}
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