review-site-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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Review Site 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). No external dependencies needed (uses stdlib urllib).

# Trustpilot reviews
python3 skills/capabilities/review-site-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/capabilities/review-site-scraper/scripts/scrape_reviews.py \
  --platform g2 \
  --url "https://www.g2.com/products/example/reviews" \
  --keywords "pricing,support"

# Capterra reviews (uses company name, not URL)
python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
  --platform capterra \
  --company-name "HubSpot CRM" \
  --max-reviews 20

Supported Platforms

Platform	Actor	Input	Cost
G2	`focused_vanguard/g2-reviews-scraper`	`--url` (G2 product page URL)	Free tier available
Capterra	`getdataforme/capterra-reviews-scraper-bulk`	`--company-name` (company name, not a URL)	Pay-per-result
Trustpilot	`agents/trustpilot-reviews`	`--url` (Trustpilot review page URL)	~$0.20/1k reviews

CLI Reference

Flag	Default	Description
`--platform`	required	`g2`, `capterra`, or `trustpilot`
`--url`	none	Product review page URL (required for G2 and Trustpilot)
`--company-name`	none	Company name to search (Capterra only)
`--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 but each has platform-specific fields.

G2 output fields:

{
  "platform": "g2",
  "id": "review-id",
  "product_name": "Product Name",
  "title": null,
  "text": "Review body text",
  "rating": 4,
  "author": "Reviewer Name",
  "author_title": "Job Title",
  "author_company": "Company Name",
  "author_company_size": "51-200",
  "author_industry": "Software",
  "date": "2026-02-18",
  "source": "organic",
  "url": "https://..."
}

Capterra output fields:

{
  "platform": "capterra",
  "title": "Review title",
  "text": "Review body text",
  "overall_rating": 4,
  "ease_of_use": 5,
  "customer_service": 3,
  "features": 4,
  "author": "Reviewer Name",
  "job_title": "Marketing Manager",
  "industry": "Marketing and Advertising",
  "usage_duration": "1-2 years",
  "date": "2026-02-18",
  "url": "https://..."
}

Trustpilot output fields:

{
  "platform": "trustpilot",
  "id": "review-id",
  "title": "Review title",
  "text": "Review body text",
  "rating": 4,
  "author": "Reviewer Name",
  "date": "2026-02-18T12:00:00.000Z",
  "experienced_date": "2026-02-15T00:00:00.000Z",
  "likes": 2,
  "input_source": "organic",
  "url": "https://..."
}

Repository: gooseworks-ai/goose-skills
Path: skills/monitoring/capabilities/review-site-scraper/SKILL.md
Commit: 8866b2a

Last updated: 1 day ago
First committed: about 2 months ago

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