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Trustpilot Reviews Scraper

Scrape Trustpilot reviews for any business — ratings, review text, author info, company replies, and aggregate scores. Built for competitive intelligence, sentiment analysis, and brand monitoring.

3x cheaper than alternatives. Pay only $0.001 per review.

What it does

• Extracts individual reviews: title, full text, star rating (1-5), author name, date published, date of experience
• Captures company replies to reviews (text + date)
• Collects company-level data: TrustScore, total review count, star distribution
• Supports pagination — scrape up to 10,000 reviews per company
• Language filtering — get reviews in specific languages
• Star filtering — only scrape reviews above a minimum rating
• Handles multiple companies in a single run

Use cases

🏢 Competitive Intelligence

Compare your competitors' customer satisfaction. Track how their TrustScore changes over time. Identify their weaknesses from negative reviews.

📊 Sentiment Analysis

Feed review data into your NLP pipeline. Analyze sentiment trends, common complaints, and praise patterns across thousands of reviews.

🔍 Brand Monitoring

Monitor your own company's reviews. Get alerted to new negative reviews. Track whether your customer service improvements are reflected in ratings.

📈 Market Research

Analyze review patterns across an entire industry. Identify gaps in service quality. Understand what customers value most.

💼 Sales Intelligence

Research prospects before outreach. Understand their pain points from customer reviews. Personalize your pitch based on real customer feedback.

📋 Due Diligence

Evaluate companies for partnerships or acquisitions. Review data provides unfiltered customer perspectives that financial reports don't capture.

Input

Example input

{
"companies":["amazon.com","apple.com","shopify.com"],
"maxReviews":200,
"language":"en",
"sortBy":"recency",
"minStars":1
}

Output

Review item

Each review is output as a separate dataset item:

{
"type":"review",
"companyName":"Amazon",
"companyDomain":"amazon.com",
"trustScore":2.2,
"reviewTitle":"Great customer service",
"reviewText":"I had an issue with my order and the support team resolved it quickly...",
"rating":5,
"authorName":"John D.",
"datePublished":"2026-03-15T10:30:00Z",
"dateOfExperience":"2026-03-10T00:00:00Z",
"companyReply":"Thank you for your kind words, John!",
"companyReplyDate":"2026-03-16T08:00:00Z",
"language":"en",
"isVerified":true,
"reviewUrl":"https://www.trustpilot.com/review/amazon.com"
}

Company summary item

One summary per company with aggregate data:

{
"type":"company_summary",
"companyName":"Amazon",
"domain":"amazon.com",
"trustScore":2.2,
"totalReviews":198547,
"starDistribution":{
"1":95000,
"2":25000,
"3":18000,
"4":20000,
"5":40547
}
}

Pricing

This actor uses pay-per-event pricing:

Example: Scraping 500 reviews costs $0.50.

No charge for company summary data — you only pay for individual reviews.

Technical details

• No browser needed — Trustpilot renders HTML server-side, so this actor uses lightweight HTTP requests (httpx with HTTP/2)
• Structured data parsing — Prefers JSON-LD and Next.js hydration data over HTML scraping for reliability
• Rate limiting — Random delays between requests + exponential backoff on 429 responses
• Proxy support — Automatically uses Apify proxy when available to avoid IP blocks
• Pagination — Handles Trustpilot's 20-reviews-per-page pagination automatically

Tips

• Start small — Test with maxReviews: 20 first to verify the output format works for your pipeline
• Use language filter — If you only need English reviews, set language: "en" to avoid irrelevant content
• Sort by recency for monitoring, relevance for research
• Combine with scheduling — Set up a daily/weekly schedule to track review trends over time

Limitations

• Trustpilot may block requests from some datacenter IPs. The actor will attempt to use Apify proxy if available.
• Review content is limited to what Trustpilot displays publicly. Private or deleted reviews are not accessible.
• Star distribution counts may be approximate depending on data availability in the page source.

Changelog

v1.0 (2026-03-28)

• Initial release
• Support for multiple companies, pagination, language/star filtering
• JSON-LD + Next.js data extraction with HTML fallback
• Pay-per-event pricing at $0.001/review

🔗 Quick Integration

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("joyouscam35875/trustpilot-scraper").call(run_input={...})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Node.js

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_API_TOKEN'});
const run =await client.actor('joyouscam35875/trustpilot-scraper').call({...});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();

No-code: Make / Zapier / n8n

Search for this actor in the Apify connector. No code needed.

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⚠️ Important: Residential Proxies Required

This actor targets platforms with strict anti-bot protection (Cloudflare, fingerprinting). To successfully scrape data, you must enable Apify Residential Proxies in the actor settings. Go to the Apify Console → Actor → Settings → Proxy configuration → select Residential proxy pool. Without residential proxies, the actor will return 0 results or errors. ✅ Pro tip: The actor is configured for pay-per-event pricing, so you only pay for successful results.