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Scrape product reviews from G2, Capterra

Review site scraper

by gooseworks-ai · MIT license · ★ 1,220 on GitHub · updated Sep 21

Review site scraper cover

Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch.

---
name: review-site-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 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

Overview

Scrape product reviews from G2, Capterra, and Trustpilot using platform-specific Apify actors.

Manual install (npx, ZIP)
Claude Codenpx skills add gooseworks-ai/goose-skills --skill review-site-scraper -g -a claude-code
Claude Code (manual)mkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/gooseworks-ai/goose-skills/tar.gz/615c685f34f8 \ | tar -xz -C ~/.claude/skills --strip-components=4 goose-skills-615c685f34f8/skills/monitoring/capabilities/review-site-scraper
Windows (PowerShell)New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/ef06dfb1006a4dbcca14/review-site-scraper.zip" -OutFile "$env:TEMP\review-site-scraper.zip"; Expand-Archive "$env:TEMP\review-site-scraper.zip" -DestinationPath "$HOME\.claude\skills" -Force
Claude.ai / desktopDownload the ZIP and upload it under Settings → Capabilities → Skills.
Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

  • SKILL.md3.4 KB
  • skill.meta.json263 B
  • scripts/1 file · 11.9 KB
Read the files here
gooseworks-ai/615c6853 files
SKILL.md
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review-site-scraper/SKILL.md121 lines · 3.4 KB

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://..."
}
1---
2name: review-site-scraper
3description: >
4 Scrape product reviews from G2, Capterra, and Trustpilot using Apify.
5 Single script with platform dispatch. Use when you need to monitor competitor
6 reviews, track product sentiment, or gather customer feedback from review sites.
7---
8 
9# Review Site Scraper
10 
11Scrape product reviews from G2, Capterra, and Trustpilot using platform-specific Apify actors.
12 
13## Quick Start
14 
15Requires `APIFY_API_TOKEN` env var (or `--token` flag). No external dependencies needed (uses stdlib `urllib`).
16 
17```bash
18# Trustpilot reviews
19python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
20 --platform trustpilot \
21 --url "https://www.trustpilot.com/review/example.com" \
22 --max-reviews 10 --output summary
23 
24# G2 reviews with keyword filter
25python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
26 --platform g2 \
27 --url "https://www.g2.com/products/example/reviews" \
28 --keywords "pricing,support"
29 
30# Capterra reviews (uses company name, not URL)
31python3 skills/capabilities/review-site-scraper/scripts/scrape_reviews.py \
32 --platform capterra \
33 --company-name "HubSpot CRM" \
34 --max-reviews 20
35```
36 
37## Supported Platforms
38 
39| Platform | Actor | Input | Cost |
40|----------|-------|-------|------|
41| G2 | `focused_vanguard/g2-reviews-scraper` | `--url` (G2 product page URL) | Free tier available |
42| Capterra | `getdataforme/capterra-reviews-scraper-bulk` | `--company-name` (company name, not a URL) | Pay-per-result |
43| Trustpilot | `agents/trustpilot-reviews` | `--url` (Trustpilot review page URL) | ~$0.20/1k reviews |
44 
45## CLI Reference
46 
47| Flag | Default | Description |
48|------|---------|-------------|
49| `--platform` | *required* | `g2`, `capterra`, or `trustpilot` |
50| `--url` | none | Product review page URL (required for G2 and Trustpilot) |
51| `--company-name` | none | Company name to search (Capterra only) |
52| `--max-reviews` | 50 | Max reviews to scrape |
53| `--keywords` | none | Keywords to filter (comma-separated, OR logic) |
54| `--days` | none | Only include reviews from last N days |
55| `--output` | json | Output format: `json` or `summary` |
56| `--token` | env var | Apify token (prefer `APIFY_API_TOKEN` env var) |
57| `--timeout` | 300 | Max seconds for Apify run |
58 
59## Normalized Output Schema
60 
61All platforms are normalized but each has platform-specific fields.
62 
63**G2 output fields:**
64 
65```json
66{
67 "platform": "g2",
68 "id": "review-id",
69 "product_name": "Product Name",
70 "title": null,
71 "text": "Review body text",
72 "rating": 4,
73 "author": "Reviewer Name",
74 "author_title": "Job Title",
75 "author_company": "Company Name",
76 "author_company_size": "51-200",
77 "author_industry": "Software",
78 "date": "2026-02-18",
79 "source": "organic",
80 "url": "https://..."
81}
82```
83 
84**Capterra output fields:**
85 
86```json
87{
88 "platform": "capterra",
89 "title": "Review title",
90 "text": "Review body text",
91 "overall_rating": 4,
92 "ease_of_use": 5,
93 "customer_service": 3,
94 "features": 4,
95 "author": "Reviewer Name",
96 "job_title": "Marketing Manager",
97 "industry": "Marketing and Advertising",
98 "usage_duration": "1-2 years",
99 "date": "2026-02-18",
100 "url": "https://..."
101}
102```
103 
104**Trustpilot output fields:**
105 
106```json
107{
108 "platform": "trustpilot",
109 "id": "review-id",
110 "title": "Review title",
111 "text": "Review body text",
112 "rating": 4,
113 "author": "Reviewer Name",
114 "date": "2026-02-18T12:00:00.000Z",
115 "experienced_date": "2026-02-15T00:00:00.000Z",
116 "likes": 2,
117 "input_source": "organic",
118 "url": "https://..."
119}
120```
121 
View all files on GitHub →

Details

Updated
Sep 21, 2026
License
MIT
Stars on the repo
★ 1,220
Checked
Source
gooseworks-ai/goose-skills ↗
Creator
gooseworks-ai · 206 listings
View creator

Made with review-site-scraper

Review site scraper — CleanShot 2026-07-13 at 20 16 54@2x (from the gooseworks-ai/goose-skills README)
Review site scraper — CleanShot 2026-07-13 at 20 16 54@2x (from the gooseworks-ai/goose-skills README)

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