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Trustpilot Review Scraper — Reputation Intelligence Engine

One-click Trustpilot review extraction: full review content, reviewer metadata, company replies, and sentiment signals — structured data for any business domain.

Why This Actor?

Most Trustpilot scrapers grab stars and text. This actor captures the full review context — the signals you actually need for reputation analysis, lead scoring, and competitor benchmarking:

• ⭐ Complete Review Data — Star rating, title, full text, date, language, and direct review URL
• 👤 Reviewer Intelligence — Name, location, review history count, follower count, and verification status
• 🏢 Company Replies — Full reply text + reply date, when available
• 🔍 Smart Filtering — Filter by star rating, date range, language, and verified-only reviews
• 🛡️ Anti-Detection — Proxy-aware crawling with residential proxy support for reliable access
• 📤 Multiple Exports — JSON, CSV, or Excel-ready output; one record per review with full nesting
• 📊 Batch Queries — Scrape multiple businesses or domains in a single run

Input

Note: businessUrls and domains — provide at least one. domains is useful when you know the brand but not the exact Trustpilot URL.

Output Example

{
"reviewId":"abc123def456",
"businessUrl":"https://www.trustpilot.com/review/example.com",
"businessName":"Example Corp",
"businessDomain":"example.com",
"starRating":5,
"reviewTitle":"Excellent service and fast delivery",
"reviewText":"I ordered on Monday and received it on Wednesday. Packaging was great and the product matched the description perfectly...",
"reviewDate":"2025-03-15",
"verified":true,
"reviewerName":"Jane Smith",
"reviewerLocation":"London, United Kingdom",
"reviewerReviewCount":23,
"reviewerFollowersCount":5,
"companyReply":"Thank you for your kind words, Jane! We're thrilled you had a great experience.",
"replyDate":"2025-03-16",
"language":"en",
"reviewUrl":"https://www.trustpilot.com/reviews/abc123def456",
"helpfulVotes":12
}

Output Fields

Use Cases

• Reputation Monitoring — Track review volume, sentiment, and response rates over time
• Competitor Benchmarking — Scrape rival businesses side-by-side for rating, review themes, and response quality
• Lead Scoring — Weight prospects by their Trustpilot rating and review recency
• Customer Insights — Mine review text for feature requests, complaints, and praise patterns
• Local Business Research — Build datasets of highly-rated (or poorly-rated) businesses by category and location

Filtering Strategies

• Verified only — Use verifiedOnly: true to filter out potentially fake or low-trust reviews
• Date range — Combine dateRange: "last30days" with starFilter: "1" to surface recent complaints
• Language — Set language: "en" for English-only analysis; omit for multilingual datasets
• High-volume businesses — Set maxReviews to 1000+ for brands with thousands of reviews; the actor paginates automatically

Tips

• Use domains when you have a list of brands but not their Trustpilot URLs — the actor resolves them automatically
• Use businessUrls for precise, fastest lookups when you already have the Trustpilot page
• Combine with elsa-data-analysis to aggregate review scores, compute average ratings by region, or detect review velocity spikes
• For sentiment analysis at scale, pair with an NLP pipeline — the output schema is designed for easy ingestion

Pricing

This actor runs on the Apify platform. Usage is billed per compute unit based on your Apify plan. No third-party API keys required.

Support

Found a bug or need a feature? Open an issue on the Actor page or contact the developer.