Trustpilot Scraper — Reviews, Companies, Search & Categories 🌟

Export Trustpilot data at scale — customer reviews, company profiles, TrustScores, ratings analytics, search results and full category listings — in one actor. Get clean, structured JSON, CSV or Excel ready for analysis, lead generation, review monitoring, competitor research and AI/LLM training.

No login, no Trustpilot API key, no code. Point it at a company, a keyword, a category or a reviewer — get the data. You pay only for the records you actually receive.

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✨ Why use this Trustpilot Scraper?

• ⭐ All Trustpilot data in one place — reviews, company info, TrustScore & rating analytics, company search and category browsing. Stop juggling five different scrapers.
• 🧾 The richest review records on the market — 30+ fields per review including verification status, reviewer profile, country, company reply and dates.
• 🏢 Full company profiles — TrustScore, star rating, review counts, categories, contact details (email, phone, address), claim status and verification badges.
• 📊 Transparency & analytics — exact 1–5 star distribution, review-language breakdown and company reply behaviour.
• 🔎 Company discovery others don't offer — search Trustpilot by brand/keyword and list every company inside a category.
• 💸 Pay-per-result pricing — different data types, different prices, all transparent. No monthly rental, no surprise platform fees.
• 📤 One-click export to JSON, CSV, Excel, HTML or via API.

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📦 What you can scrape (6 modes)

Choose a mode with the What to scrape dropdown:

Mode	What you get	Give it
Reviews	Individual customer reviews with reviewer & reply data	Company URL or domain
Company profile	TrustScore, rating, categories, contacts, verification	Company URL or domain
Transparency & analytics	Star distribution, language breakdown, reply behaviour	Company URL or domain
Search companies	Matching businesses for a brand/keyword	Search term
Category listing	Every company inside a Trustpilot category	Category id or URL
User reviews	A reviewer's profile and all their reviews	Reviewer profile URL or id

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🚀 Quick start

1. Click Try for free.
2. Pick What to scrape (e.g. Reviews).
3. Paste one or more company URLs or domains, e.g. www.amazon.com or https://www.trustpilot.com/review/www.nike.com.
4. (Optional) Set filters — max reviews, star rating, language, date range, verified only, replies only.
5. Click Save & Start. Download your results as JSON, CSV or Excel when the run finishes.

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⭐ Example — Company with its reviews (Reviews mode)

Reviews mode returns one tidy object per company with every review nested inside — perfect for bulk runs (one row per company):

{
  "dataType": "company",
  "companyName": "Nike",
  "companyDomain": "www.nike.com",
  "trustScore": 1.6,
  "stars": 1.5,
  "numberOfReviews": 12692,
  "primaryCategory": "Activewear Store",
  "reviewsCount": 200,
  "reviews": [
    {
      "reviewId": "6a2c3a09ec3cb98d5014d5c3",
      "reviewUrl": "https://www.trustpilot.com/reviews/6a2c3a09ec3cb98d5014d5c3",
      "reviewTitle": "Disgusting customer service",
      "reviewText": "On May 25 I bought my customized jersey ...",
      "rating": 1,
      "language": "en",
      "experiencedDate": "2026-06-12T00:00:00.000Z",
      "publishedDate": "2026-06-12T18:55:37.000Z",
      "isVerified": false,
      "verificationLevel": "not-verified",
      "reviewSource": "Organic",
      "likes": 0,
      "reviewerId": "6a2c3953e33cd10be89f2ef1",
      "reviewerName": "Ramon",
      "reviewerCountry": "US",
      "reviewerNumberOfReviews": 1,
      "reviewerProfileUrl": "https://www.trustpilot.com/users/6a2c3953e33cd10be89f2ef1",
      "replyMessage": null
    }
  ]
}

Prefer a flat row per review? Export the dataset and "unwind" the reviews field, or use the API with the field filter — every review is a clean flat object.

🏢 Example — Company profile record

{
  "dataType": "company",
  "companyName": "Amazon",
  "companyDomain": "www.amazon.com",
  "trustScore": 1.7,
  "stars": 1.5,
  "numberOfReviews": 46563,
  "numberOfReviewsLast12Months": 8143,
  "categories": ["Book Store", "Clothing Store", "Shoe Store"],
  "primaryCategory": "Book Store",
  "isClaimed": true,
  "email": "support@amazon.com",
  "phone": "",
  "city": "",
  "country": "GB",
  "verifiedByGoogle": false,
  "replyPercentage": 0,
  "ratingOneStar": 30751,
  "ratingFiveStars": 8802,
  "scrapedAt": "2026-06-12T21:20:00Z"
}

📊 Example — Transparency & analytics record

{
  "dataType": "transparency",
  "companyName": "Nike",
  "trustScore": 1.6,
  "numberOfReviews": 12692,
  "ratingOneStar": 9598,
  "ratingTwoStars": 472,
  "ratingThreeStars": 355,
  "ratingFourStars": 470,
  "ratingFiveStars": 1797,
  "reviewLanguages": [{"isoCode": "en", "displayName": "English", "reviewCount": 9000}],
  "replyPercentage": 0,
  "averageDaysToReply": 0,
  "isUsingAIResponses": false
}

🔎 Example — Search / Category result

{
  "dataType": "searchResult",
  "query": "online bank",
  "companyName": "Nike",
  "companyDomain": "www.nike.com",
  "trustScore": 1.6,
  "stars": 1.5,
  "numberOfReviews": 12692,
  "categories": ["Activewear Store", "Shoe Store"],
  "countryCode": "US",
  "city": "Beaverton",
  "country": "United States",
  "companyUrl": "https://www.trustpilot.com/review/www.nike.com"
}

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🔗 Chain discovery into deep data (one company, everything nested)

Found companies via Search or Category? Turn on ➕ Also fetch for each found company and pick any of Company profile, Transparency & analytics, Reviews. For every company the actor nests that data straight into the same object — discovery → full profiles → reviews in a single run:

{
  "dataType": "company",
  "query": "online bank",
  "companyName": "Nike",
  "trustScore": 1.6,
  "email": "support@nike.com",
  "transparency": { "ratingOneStar": 9598, "ratingFiveStars": 1797, "replyPercentage": 0 },
  "reviewsCount": 200,
  "reviews": [ { "reviewId": "...", "rating": 1, "reviewText": "..." } ]
}

One clean row per company — no messy mixed records.

🛠️ Input options

Field	Mode	Description
What to scrape	all	reviews / company / transparency / search / category / userReviews
Company URLs or domains	reviews, company, transparency	One or many. Review URLs or bare domains.
Search terms	search	Brand names or keywords.
Categories	category	Category ids (bank) or category URLs.
Reviewer profile URLs or IDs	userReviews	Trustpilot profile URLs or ids.
Max reviews per company	reviews	Up to 200 per filter; set higher to sweep each star rating and collect ~1000.
Sort reviews by	reviews	Most recent or most relevant.
Star ratings	reviews	Keep only selected 1–5 star reviews.
Review language	reviews	ISO code, e.g. en, de, it.
Date range	reviews	Last 30 days / 3 / 6 / 12 months / all time.
Verified reviews only	reviews	Keep only verified reviews.
Only reviews with a company reply	reviews	Keep only replied reviews.
Keyword inside reviews	reviews	Filter by a keyword in the review text.
Max results	search, category	Companies per term/category.
Country	search, category	Two-letter country code for localisation.
Max concurrency	all	Companies scraped in parallel.

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💰 Pricing

This actor uses pay-per-event pricing — you pay for the data you receive and nothing else. Different data types are priced differently:

Data type	Billed per
Review	each review
Company profile	each company
Transparency & analytics	each analytics record
Search result	each company found
Category result	each company found

The price is all-inclusive — there are no separate platform or infrastructure fees on top. See the live pricing on this actor's page.

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💡 Popular use cases

• Review monitoring & reputation management — track new reviews, ratings and replies for your brand.
• Competitor analysis — compare TrustScores, review volumes and star distributions across rivals.
• Lead generation — pull company contact details (email, phone, address) from a whole category.
• Market research — map every company in a Trustpilot category with ratings and review counts.
• Voice-of-customer & sentiment analysis — feed real reviews into your NLP / LLM pipeline.
• Data enrichment — append TrustScore and rating to your CRM by domain.

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❓ FAQ

Do I need a Trustpilot account or API key? No. Just enter what you want to scrape.

How many reviews can I get per company? Up to 200 per filter combination. Set Max reviews per company above 200 to automatically sweep each star rating and collect up to ~1000 reviews per company.

Can I scrape many companies at once? Yes. Paste a list of domains or URLs — they are processed in parallel.

What export formats are supported? JSON, CSV, Excel, HTML and JSONL, plus a REST API and integrations (Make, Zapier, Google Sheets, webhooks).

Can I run it on a schedule? Yes — use Apify Schedules to run daily/weekly and capture new reviews automatically.

Is the data clean and flat? Every record is a single flat object, ready for spreadsheets and databases.

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🔗 Integrations

Connect results to Make, Zapier, Google Sheets, Slack, Airbyte, webhooks, or pull them via the Apify API in any language.

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