Trustpilot Review Data and Brand Reputation Monitoring Tool

Export every Trustpilot review for any business into a clean spreadsheet or JSON file. Get star ratings, review text, consumer country, verified status, review dates, company replies, and overall trust scores for your brand and your competitors.

Built for e-commerce brand managers, DTC marketing teams, and agencies who need Trustpilot review data without paying for a monthly reputation monitoring subscription.

---

Who uses this and why

flowchart TD
    A[Brand Managers] -->|Catch sentiment dips<br/>before revenue drops| D[Trustpilot<br/>Review Data]
    B[DTC Marketing Teams] -->|Benchmark against<br/>3 competitors at once| D
    C[Agencies] -->|Deliver reputation reports<br/>for every client| D
    D --> E[Weekly sentiment report]
    D --> F[Competitor gap analysis]
    D --> G[Customer support triage]

Role	What this gives you
Brand manager	Weekly review volume, star trends, verified vs unverified mix
DTC marketer	Side by side sentiment comparison against direct competitors
Agency or consultant	Client ready Trustpilot reports with full review datasets
BI analyst	Clean JSON or CSV ready for dashboards and sentiment models

---

How it works

flowchart LR
    A[Trustpilot<br/>business URL] --> B[Load review pages]
    B --> C[Parse embedded<br/>page data]
    C --> D[Paginate through<br/>every review]
    D --> E[Normalize fields]
    E --> F[(JSON, CSV, or Excel)]

The actor visits each Trustpilot business page, reads the structured data Trustpilot ships inside every page, and walks through every review 20 at a time. No brittle selectors, no login, no captcha. Same data Trustpilot shows in its own UI, delivered as a clean dataset.

---

What one review record looks like

{
  "reviewId": "69dbe793de2117596b6629fd",
  "businessName": "Booking.com",
  "businessOverallStars": 2,
  "businessTotalReviews": 108160,
  "businessTrustScore": 1.8,
  "rating": 1,
  "title": "Booked an apartment in Manchester",
  "text": "Booked an apartment in Manchester, got there, no such place...",
  "language": "en",
  "experiencedDate": "2026-04-04T00:00:00.000Z",
  "publishedDate": "2026-04-12T20:42:27.000Z",
  "isVerified": false,
  "consumerName": "Kathryn Burnand",
  "consumerCountry": "GB",
  "consumerReviewCount": 34,
  "hasCompanyReply": false,
  "companyReplyText": null
}

Every review comes back with: star rating (1 to 5), title, full text, language, source (organic or invited), likes, experience date, publish date, verification level, consumer name, country, total reviews the consumer has written, and the company reply with its own timestamp.

---

Quick start

Export 200 recent reviews for a single business:

curl -X POST "https://api.apify.com/v2/acts/scrapemint~trustpilot-brand-reputation/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "businessUrl": "https://www.trustpilot.com/review/yourbrand.com",
    "maxReviews": 200,
    "sortBy": "NEWEST_FIRST"
  }'

Compare your brand against 2 competitors in one run, filtering for negative reviews only:

{
  "businessUrls": [
    { "url": "https://www.trustpilot.com/review/yourbrand.com" },
    { "url": "https://www.trustpilot.com/review/competitor-one.com" },
    { "url": "https://www.trustpilot.com/review/competitor-two.com" }
  ],
  "maxReviews": 500,
  "filterByStars": ["1", "2"],
  "sortBy": "NEWEST_FIRST"
}

---

Inputs

Field	Type	Default	What it does
businessUrls	array	[]	Trustpilot business URLs. Add several to compare brands in one run.
businessUrl	string	null	Single URL shortcut. Used when businessUrls is empty.
maxReviews	integer	500	Hard cap per business. Controls cost.
sortBy	string	NEWEST_FIRST	NEWEST_FIRST or MOST_RELEVANT
filterByStars	array	[]	Ratings to keep (e.g. ["1","2"] for complaint analysis). Empty = all.
language	string	""	Filter by language code like en, fr, de, es. Empty = all.

---

Pricing

Pay per review. Free tier lets you check the data before spending anything.

Tier	Price	Best for
Free	First 100 reviews per run	Verifying the output format
Standard	$0.005 per review	Ongoing monitoring and competitor benchmarking

flowchart LR
    A[Run the actor] --> B{First 100<br/>reviews}
    B -->|Free| C[Verify output]
    C --> D{Need more?}
    D -->|Yes| E[$0.005 per review<br/>after the first 100]
    D -->|No| F[Done, $0 spent]

---

How this beats the alternatives

Method	Cost for 5,000 reviews across 5 brands	Data depth	Time
Read Trustpilot manually	15 to 25 analyst hours	Spreadsheet notes	Days
Reputation monitoring SaaS	$200 to $800 per month per brand	Aggregated dashboards	Subscription locked
This actor	$24.50 once	Full reviews, consumer data, replies, timestamps	Minutes

---

Compare brands in one run

flowchart LR
    A[Your brand URL] --> X[Actor]
    B[Competitor 1 URL] --> X
    C[Competitor 2 URL] --> X
    X --> D[(Unified review<br/>dataset)]
    D --> E[Sort by businessName<br/>in spreadsheet]
    E --> F[Head to head<br/>sentiment report]

Every record carries the businessName and businessDomain fields, so you can group results by brand in any spreadsheet or BI tool in seconds.

---

Use case flows

flowchart TD
    subgraph Inputs
        A[Brand URLs]
    end
    subgraph Actor
        B[Pull reviews]
    end
    subgraph Outputs
        C[JSON / CSV / Excel]
    end
    subgraph Workflows
        D[Weekly sentiment alert]
        E[Competitor gap report]
        F[Support ticket routing]
        G[Marketing copy mining]
    end
    A --> B --> C
    C --> D
    C --> E
    C --> F
    C --> G

• Weekly sentiment alert: cron this actor, diff the latest run, email yourself when 1 star volume spikes
• Competitor gap report: pull your brand plus 3 competitors, sort by stars, show management what guests praise next door
• Support ticket routing: feed 1 and 2 star reviews into your helpdesk so CS sees complaints before they escalate
• Marketing copy mining: grep 5 star reviews for the exact phrases customers use, reuse them in landing pages

---

Related tools in the review intelligence suite

flowchart LR
    A[Booking Review<br/>Intelligence] --> C[(Unified review<br/>dataset)]
    B[Trustpilot Brand<br/>Reputation] --> C
    C --> D[Cross platform<br/>reputation report]

• Booking Review Intelligence: hotel and STR reviews with sentiment, category scores, traveler type, and management replies
• More review sources on the roadmap: Google Reviews, G2, Capterra

---

Frequently asked questions

How do I download Trustpilot reviews to a CSV file? Run this actor with a Trustpilot business URL and your chosen cap. Export the dataset as CSV from the Apify console or pull it via the API. Works for any business with a public Trustpilot page.

How do I monitor my brand reputation on Trustpilot without paying for a SaaS subscription? Schedule this actor weekly against your Trustpilot URL. Export the latest reviews and compare against last week in your own spreadsheet. A few dollars per run replaces a $200+ monthly subscription.

Can I compare multiple brands on Trustpilot in one run? Yes. Pass every URL in the businessUrls array. Every review record includes businessName and businessDomain, so you can group and compare in any tool.

How do I analyze only negative Trustpilot reviews? Set filterByStars to ["1", "2"] to pull just 1 and 2 star reviews. Most complaint analysis workflows use this filter.

What data does this return for each Trustpilot review? Rating (1 to 5), title, full review text, language, country, source (organic or invited), likes, experience date, publish date, verification status, consumer name and review history, and the full company reply with its timestamp.

Does this work for Trustpilot pages in any country? Yes. Works across the US, UK, EU, and other Trustpilot locales. Just paste the business URL.

How many reviews can I pull from one business? Up to the full history. Use maxReviews to set a cap. Large brands with 100,000+ reviews take several minutes to finish.

How fresh is the data? Live at query time. Every run pulls straight from Trustpilot. No cached snapshots.

What format is the output? JSON, CSV, or Excel. Download from the Apify dataset or pull via API.