📊 Analyze Customer Reviews from 5 Platforms with Thordata Scraping & GPT-4.1 Reports
⚡ 270 views · 📊 Market Research & Insights
💡 Pro Tip — HTTP Request scraping tends to break when sites update their markup. If you’re scraping a major platform, check if ScraperNode covers it — it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.
Description
Automatically gather hundreds of real customer reviews from five major platforms in one run using Thordata API and Proxy — Trustpilot, Capterra, Chrome Web Store, TrustRadius, and Product Hunt — then let GPT-4.1 perform deep collective sentiment analysis, uncover common praises & complaints, flag critical issues, assess churn risk, and deliver actionable recommendations straight to your inbox as a stunning executive HTML report.
Who’s it for
- Product managers & founders
- Growth and marketing teams
- Customer success & support leads
- Agencies delivering competitor or product review reports
How it works
- Submit product URLs via form, webhook, or use defaults
- Smart, Cloudflare-safe scraping with automatic pagination
- Universal parser standardizes every review format
- Global deduplication using deterministic unique IDs
- GPT-4.1 analyzes all reviews collectively (not one-by-one)
- Beautiful responsive HTML email with sentiment badges, stats, and recommendations
Requirements
- Thordata API key (free tier works) → set as HTTP Header Auth credential
- OpenAI API key
- Gmail account (or replace with any email node)
How to set up
- Add your Thordata and OpenAI credentials
- Connect Gmail
- Click “Execute Workflow” – instantly tests with Thordata’s own reviews
How to customize
- Edit default product in “Prepare Review Sources” node
- Modify the AI prompt or email design anytime
- Add more sources or change the output format easily
Zero browser automation · Rate-limit safe · Fully deduplicated · Plug-and-play in minutes.
đź”— Nodes Used
HTTP Request, Webhook, Gmail, n8n Form Trigger, OpenAI
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File