Trustpilot Reviews Scraper ⭐

Scrape Trustpilot company reviews with ratings, review text, dates, reviewer details, and business replies — clean structured fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/trustpilot-reviews-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/trustpilot-reviews-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrl (string, required, a Trustpilot merchant review page, default "https://www.trustpilot.com/review/www.amazon.com"), maxItems (integer, default 10). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~trustpilot-reviews-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

Pull Trustpilot company reviews without copy-pasting them by hand. No code. No logins. Just paste a merchant's Trustpilot review URL, press run, and get a clean list of ratings and review text you can open in Excel.

Why this helps ⚡

• Read the whole picture: Full review text, star rating, and title for every review, not just the summary score.
• Track sentiment over time: Review dates and dates of experience let you chart trends by week or month.
• Know your reviewers: Reviewer name, country, review count, and verified status add context to each rating.
• Ready for Excel/CRM: Download results as CSV, JSON, or Excel straight from Apify.
• Runs on a schedule: Re-run daily or weekly to catch new reviews as they post.

Who it's for 👥

• Brand, CX, and support teams monitoring their own Trustpilot reputation
• Market researchers and analysts benchmarking competitors
• E-commerce and product teams mining feedback for recurring complaints

What you get 📦

• Review content: Star rating, review title, full review text, and verified flag
• Reviewer context: Reviewer name, country, total reviews written, and profile image
• Dates and engagement: Review date, date of experience, helpful count, and any business response
• Business identity: Business name and domain, plus the source and direct review URLs

📊 Trustpilot review data fields

Each review record includes: imageUrl, reviewerName, reviewerCountry, totalReviewsByReviewer, rating, reviewTitle, reviewText, reviewDate, dateOfExperience, isVerified, helpfulCount, response, reviewUrl, businessDomain, businessName, sourceUrl, and scrapedAt. All 17 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to know: you only need an Apify account; no Trustpilot login is required. Every run pulls live reviews from the merchant page you provide, so results reflect what is published at run time. Only publicly visible review data is collected.

🚀 How to use

1. 📝 Sign up. Create a free account (takes 2 minutes).
2. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
3. 🚀 Run it. Click Start and let the Actor collect your data.
4. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.