菜单
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.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/gooseworks-ai/goose-skills --skill review-site-scraper命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Scrape competitor ads from Meta, TikTok, Google, and LinkedIn ad libraries, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad landscape, find new creative directions, or identify weaknesses in a competitor's paid strategy.
Turn public social videos, transcripts, posts, creator research, or the user's own source material into platform-specific LinkedIn posts, X posts and threads, short-form scripts, newsletters, blog outlines, carousel briefs, and content calendars. Use when the user wants to reuse a strong idea without copying the source.
Multi-provider waterfall lead enrichment. Takes an email (+ optional name) and returns person + company data by cross-referencing cheap APIs first, using expensive AI agents only as fallback. Cost-efficient (~$0.04-$0.10/lead) with confidence scoring and full error visibility.
基于 SOC 职业分类
正在显示 SKILL.md
| 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. |
Scrape product reviews from G2, Capterra, and Trustpilot using platform-specific Apify actors.
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
| 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 |
| 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 |
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://..."
}