Trustpilot Scraper — Reviews, Ratings & AI Summaries

Extract reviews, company data, and AI-generated summaries from Trustpilot. Scrape up to 1,000 reviews per company with star filters. No login required.

⚡ Why this Trustpilot scraper?

Most Trustpilot scrapers on Apify are broken, abandoned, or overpriced. This one is different:

• 💰 Cheapest on Apify: Just $0.50 per 1,000 reviews. The market leader charges $10/month flat.
• 🚀 Fastest: HTTP-only — no browser, no Playwright. 1,000 reviews in under 2 minutes.
• 🛡️ Most reliable: No headless browser means no anti-bot blocks, no timeouts, no flaky runs. 100% success rate in stress tests.
• 🤖 AI summaries: Extracts Trustpilot's AI-generated review summaries and topic analysis. No other scraper offers this.
• 💬 Company replies: Captures company responses to reviews — valuable for sentiment analysis.
• 📊 28 data fields per review: Rating, full text, reviewer info, verification status, dates, company metadata, and more.

📦 What data can you extract?

Each review includes 28 data fields:

• ⭐ Review: Title, full text, star rating (1-5), helpful votes count
• 📅 Dates: Published date, experience date, updated date
• 👤 Reviewer: Name, country, total review count, profile image, verification status
• ✅ Verification: Verified/unverified, verification level, review source (Organic/Invitation)
• 💬 Company reply: Reply text, reply date (when company responds)
• 🏢 Company: Name, domain, trust score, star rating, total reviews, website, categories, claimed status
• 🤖 AI Summary: Trustpilot's AI-generated overall summary + 5 topic-specific summaries (delivery, product, customer service, etc.)

💲 How much does it cost?

The Trustpilot scraper uses pay-per-event pricing — you only pay for what you scrape:

• $0.50 per 1,000 reviews

Example costs:

What you scrape	Reviews	Cost
1 company, default 200 reviews	200	$0.10
5 companies, 100 reviews each	500	$0.25
1 company, maximum 1,000 reviews	1,000	$0.50
10 companies, 100 reviews each	1,000	$0.50

That's 20x cheaper than the $10/month flat-rate market leader — and you get AI summaries they don't offer.

🎯 Use cases

• 📊 Brand monitoring: Track what customers say about your company or competitors
• 🔍 Competitive intelligence: Compare trust scores and review sentiment across competitors
• 📈 Market research: Analyze customer satisfaction trends in your industry
• 🤖 Sentiment analysis: Use review text and AI summaries for NLP analysis
• 📰 Lead generation: Find companies by category and trust score
• 🎓 Academic research: Build datasets of consumer reviews for studies
• 🛡️ Reputation management: Monitor and respond to negative reviews
• 📉 Due diligence: Check customer sentiment before partnerships or investments

📥 Input

Field	Type	Description	Default
companyUrls	array	Company URLs or domains (required). E.g., amazon.com, trustpilot.com/review/netflix.com	—
maxReviews	number	Max reviews per company. Set 0 for maximum (1,000).	200
starFilter	string	Filter by star rating: all, 1, 2, 3, 4, 5	all
language	string	Filter by language (ISO code, e.g., en, de, fr).	all
sortBy	string	recency or relevance	recency
includeCompanyInfo	boolean	Include company metadata in each review	true
includeAiSummary	boolean	Include AI-generated review summaries	true

💡 Example input

{
    "companyUrls": [
        "amazon.com",
        "www.netflix.com",
        "trustpilot.com/review/nordvpn.com"
    ],
    "maxReviews": 200,
    "starFilter": "all",
    "includeCompanyInfo": true,
    "includeAiSummary": true
}

📤 Output

Each review is stored as a JSON object with 28 fields:

{
    "reviewId": "69a3e3542349eb662331f18d",
    "title": "Great product but delivery was slow",
    "text": "I ordered the product last week and while the quality is excellent, the delivery took 5 days longer than promised...",
    "rating": 3,
    "publishedDate": "2026-03-01T08:57:24.000Z",
    "experiencedDate": "2026-02-28T00:00:00.000Z",
    "updatedDate": null,
    "reviewUrl": "https://www.trustpilot.com/reviews/69a3e3542349eb662331f18d",
    "language": "en",
    "source": "Organic",
    "isVerified": false,
    "verificationLevel": "not-verified",
    "likes": 2,
    "reviewerName": "Jane Smith",
    "reviewerCountry": "US",
    "reviewerReviewCount": 12,
    "reviewerImageUrl": null,
    "replyText": "Hi Jane, we're sorry about the delay. Please reach out to our support team...",
    "replyDate": "2026-03-02T10:30:00.000Z",
    "replyAuthor": null,
    "companyName": "Amazon",
    "companyDomain": "www.amazon.com",
    "companyTrustScore": 1.7,
    "companyStars": 1.5,
    "companyTotalReviews": 44104,
    "companyWebsite": "https://www.amazon.com",
    "companyClaimed": true,
    "companyCategories": ["Book Store", "Clothing Store", "Shoe Store"],
    "aiSummary": "Most reviewers were let down by their experience. Many consumers express dissatisfaction with delivery service...",
    "topicSummaries": [
        {
            "topic": "Delivery service",
            "summary": "Consumers express significant dissatisfaction with delivery services..."
        },
        {
            "topic": "Customer service",
            "summary": "Customers consistently note negative experiences with customer service..."
        }
    ]
}

You can download results in JSON, CSV, Excel, or connect via API.

🔄 Getting more than 200 reviews

Trustpilot limits pagination to 10 pages (200 reviews) per filter. This scraper automatically bypasses this limit:

• Up to 200 reviews: Single pass, no special handling needed.
• 201–1,000 reviews: Set maxReviews to your target (or 0 for max). The scraper automatically rotates through star filters (1-star, 2-star, ..., 5-star), fetching up to 200 per rating = 1,000 total.
• Deduplication: Reviews are automatically deduplicated across star filters.

This is the same limitation ALL Trustpilot scrapers face — but most competitors don't implement the workaround.

💡 Tips and notes

• 🌐 Flexible URLs: Pass full Trustpilot URLs (trustpilot.com/review/amazon.com), domains (amazon.com), or domain with www (www.netflix.com) — all formats work.
• 🤖 AI summaries: Only included on the first review per company to avoid data bloat. Each company gets one overall summary + 5 topic summaries.
• 💬 Company replies: Not all companies reply to reviews. When they do, the reply text and date are captured.
• ⚡ Speed: No browser overhead. A typical run of 200 reviews takes about 20 seconds.
• 📦 Bulk scraping: Pass multiple company URLs in a single run to scrape several companies at once.
• 🌍 Language filter: Use ISO language codes (en, de, fr, es, etc.) to filter reviews by language.
• ⭐ Star filter: Use star filters to focus on specific ratings — useful for analyzing only negative (1-star) or positive (5-star) reviews.