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.
Best use case
review-site-scraper is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using review-site-scraper should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/review-site-scraper/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How review-site-scraper Compares
| Feature / Agent | review-site-scraper | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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`).
```bash
# 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:**
```json
{
"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:**
```json
{
"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:**
```json
{
"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://..."
}
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