⭐ Trustpilot Reviews Scraper | $0.35/1K + Sentiment

Fast request-based Trustpilot scraper for reviews, ratings, company replies, company profiles, sentiment, topics, and monitoring changes.

No browser sessions. No heavy browser automation. Just clean Trustpilot review data in organized Apify datasets, ready for CSV, Excel, dashboards, support workflows, and reputation monitoring.

Use it to track brand reputation, watch competitors, collect fresh customer feedback, prioritize negative reviews, and build review intelligence pipelines.

---

🚀 What You Get

• 💬 Reviews: rating, title, full review text, language, published date, experience date, verification status, reviewer metadata, likes, tags, and review URL
• ↩️ Company replies: reply text, reply date, and hasCompanyReply
• 🧠 Review intelligence: sentiment, sentiment score, topics, issue severity, risk signals, and review length
• 🏢 Company profiles: TrustScore, rating, review count, categories, website, logo, public email/phone/address when available, and Trustpilot profile URL
• 🔎 Company discovery: search Trustpilot by company name, brand, category, or keyword
• 🔁 Monitoring changes: detect new, updated, unchanged, and removed reviews between scheduled runs
• 🧼 Clean tables: review output is normalized for easy table preview and export, without undefined or null placeholders in the main review views

---

⚡ Why This Actor

Feature	Benefit
Request-based scraping	Faster runs and lower compute usage than browser-heavy actors
Reviews + companies	Get both individual reviews and company-level context
Sentiment + topics	Move from raw text to usable review intelligence
Clean output views	Open the right dataset view immediately after the run
Monitoring support	Schedule runs and track what changed
Flexible input	Use domains, Trustpilot URLs, business unit IDs, or search queries

---

🧭 How It Works

flowchart LR
    A["Input: domains, URLs, IDs, or search queries"] --> B["Trustpilot data"]
    B --> C["Reviews"]
    B --> D["Companies"]
    C --> E["Sentiment and topics"]
    C --> F["Replies"]
    C --> G["Monitoring changes"]
    D --> H["Company profiles"]
    E --> I["Clean Results output"]
    F --> I
    H --> I

---

⚡ Quick Start

1. Open the Actor input.
2. Choose Run mode.
3. Add company domains, Trustpilot URLs, or search queries.
4. Set Reviews per company and Maximum output items.
5. Start the run.
6. Open Results or Reviews.

Example: scrape 50 recent reviews from 2 companies.

{
  "mode": "REVIEWS",
  "companyDomains": ["trustpilot.com", "www.amazon.com"],
  "maxReviewsPerCompany": 50,
  "maxResults": 100,
  "sort": "recency",
  "includeCompanyProfile": true
}

---

🧩 Input Modes

Mode	Best for	Main inputs
AUTO	Let the Actor choose the correct flow from your input	Any supported input
REVIEWS	Scrape reviews from known companies	companyDomains, startUrls, businessUnitIds
SEARCH	Discover companies first, then optionally scrape their reviews	searchQueries

---

📥 Input Examples

1. Reviews by company domain

{
  "mode": "REVIEWS",
  "companyDomains": ["shopify.com", "www.amazon.com", "apple.com"],
  "maxReviewsPerCompany": 25,
  "maxResults": 75,
  "maxPagesPerCompany": 3,
  "sort": "recency",
  "includeCompanyProfile": true
}

2. Search companies and collect reviews

{
  "mode": "SEARCH",
  "searchQueries": ["delivery", "insurance", "travel"],
  "maxReviewsPerCompany": 5,
  "maxResults": 50,
  "includeCompanyProfile": true
}

3. Search companies only

Use this when you want a company list first and do not need review rows yet.

{
  "mode": "SEARCH",
  "searchQueries": ["banks", "hosting", "fitness"],
  "scrapeReviews": false,
  "maxResults": 50
}

4. Negative verified reviews

{
  "mode": "REVIEWS",
  "startUrls": [
    { "url": "https://www.trustpilot.com/review/www.amazon.com" }
  ],
  "stars": ["1", "2"],
  "verified": "true",
  "maxReviewsPerCompany": 100,
  "maxResults": 100,
  "includeCompanyProfile": true
}

5. Daily monitoring

Use the same monitorKey across scheduled runs to compare fresh results with the previous snapshot.

{
  "mode": "REVIEWS",
  "companyDomains": ["trustpilot.com"],
  "sort": "recency",
  "maxReviewsPerCompany": 50,
  "maxResults": 50,
  "enableDeltaMonitoring": true,
  "monitorKey": "trustpilot-daily"
}

---

🎯 How To Get The Right Amount Of Data

Two limits work together:

• maxReviewsPerCompany controls how many reviews to collect for each company.
• maxResults controls how many rows are saved to the main output.

Goal	Recommended settings
1 company x 10 reviews	maxReviewsPerCompany: 10, maxResults: 10
5 companies x 20 reviews	maxReviewsPerCompany: 20, maxResults: 100
10 companies x 50 reviews	maxReviewsPerCompany: 50, maxResults: 500
50 discovered companies x 1 review	mode: "SEARCH", maxReviewsPerCompany: 1, maxResults: 50

If maxResults is too low, the Actor stops saving rows earlier even if maxReviewsPerCompany is higher.

---

📊 Output Views

Open Results first for the main output. Specialized views are available for deeper analysis.

Output	Best for	Key fields
Results	Main run output	Review rows when scraping reviews, company rows when scrapeReviews is off
Reviews	Reading and exporting review data	companyName, companyDomain, rating, title, text, datePublished, isVerified, reviewUrl
Review intelligence	Prioritizing issues	sentiment, sentimentScore, topics, riskSignals, issueSeverity, reviewLength
Replies	Tracking company responses	hasCompanyReply, companyReplyText, companyReplyDate
Companies	Company-level reporting	trustScore, companyRating, companyReviewCount, reviewsScraped, replyRate, verifiedRate
Monitoring changes	Scheduled change tracking	changeStatus, changedFields, detectedAt
Summary	Run quality checks	scraped, companies, errorItems, missing-field rates, topic summary
Errors	Input or unavailable page diagnostics	errorType, sourceUrl, companyDomain, error

---

🧾 Review Record Schema

Common review fields:

Group	Fields
Review	reviewId, reviewUrl, sourceUrl, rating, title, text, language
Dates	datePublished, dateExperienced, dateUpdated, scrapedAt
Verification	isVerified, reviewSource
Reviewer	consumerName, consumerId, consumerCountry, consumerReviewCount, consumerImageUrl
Company	companyId, companyName, companyDomain, companyUrl, companyWebsite
Reputation	trustScore, companyRating, companyReviewCount, companyCategories, companyClaimed
Reply	hasCompanyReply, companyReplyText, companyReplyDate
Intelligence	sentiment, sentimentScore, topics, issueSeverity, riskSignals, reviewLength
Monitoring	changeStatus, changedFields

Example item:

{
  "type": "review",
  "reviewId": "example-review-id",
  "companyName": "Example Company",
  "companyDomain": "example.com",
  "rating": 1,
  "title": "Delivery never arrived",
  "text": "I ordered last week and still have no tracking update.",
  "datePublished": "2026-07-09T12:00:00.000Z",
  "isVerified": true,
  "hasCompanyReply": false,
  "sentiment": "negative",
  "sentimentScore": -1,
  "topics": ["delivery_shipping"],
  "issueSeverity": "high",
  "riskSignals": ["low_rating", "unanswered_negative_review"],
  "reviewUrl": "https://www.trustpilot.com/reviews/example-review-id"
}

---

🧠 Review Intelligence

The Actor adds practical labels to help you sort and prioritize reviews.

Field	Meaning
sentiment	positive, neutral, or negative
sentimentScore	Numeric sentiment score
topics	Detected themes such as delivery, billing, support, product quality, app or website issues
issueSeverity	Review urgency, from low to high
riskSignals	Signals like low rating, unanswered negative review, trust or safety issue
reviewLength	Length of the review text

---

🔁 Monitoring Changes

Turn on Monitor changes for scheduled runs. The Actor compares the current review snapshot with the previous one for the same monitorKey.

Status	Meaning
new	Review was not seen in the previous run
updated	Review text, title, rating, date, or reply changed
unchanged	Review is still present and unchanged
removed	Review existed before but was not found in the current run

Good monitoring setup:

{
  "mode": "REVIEWS",
  "companyDomains": ["example.com"],
  "sort": "recency",
  "maxReviewsPerCompany": 50,
  "maxResults": 50,
  "enableDeltaMonitoring": true,
  "monitorKey": "example-com-daily"
}

---

💼 Use Cases

• Monitor new negative reviews
• Track company reply rate
• Compare competitors by TrustScore, rating, topics, and review volume
• Build customer support queues from fresh complaints
• Find recurring product, delivery, billing, or support issues
• Feed reviews into BI dashboards, Sheets, CRM workflows, or Slack alerts
• Watch Trustpilot profiles for reputation changes
• Discover companies by keyword and collect sample reviews for market research

---

✅ Clean Data Notes

• Review rows are flattened into table-friendly fields.
• Main review views are normalized to avoid undefined and null placeholders.
• Optional public fields, such as email, phone, reply text, or reviewer image, are included when Trustpilot exposes them.
• If a discovered search candidate is unavailable, the Actor skips it and fills the requested result count from other discovered companies when possible.

---

❓ FAQ

Does this Actor use browser automation?
No. It is request-based, which keeps runs lighter and faster than browser-heavy scraping flows.

Can I scrape only 1-star and 2-star reviews?
Yes. Set stars to ["1", "2"].

Can I collect only verified reviews?
Yes. Set verified to "true".

Can I search companies instead of adding exact domains?
Yes. Use mode: "SEARCH" with searchQueries.

Can I scrape company profiles without reviews?
Yes. Use mode: "SEARCH" and set scrapeReviews to false.

Why are some contact fields empty?
Trustpilot does not expose every contact field for every company. Public email, phone, address, or logo fields are included when available.

Where should I look first after a run?
Start with Results. Then open Reviews for raw review data, Review intelligence for sentiment and topics, Replies for company responses, and Companies for company-level metrics.

Can I schedule this Actor?
Yes. Turn on enableDeltaMonitoring, set a stable monitorKey, and schedule the Actor in Apify.

---

🏷️ Tags

trustpilot scraper · trustpilot reviews · trustpilot monitoring · review intelligence · sentiment analysis · reputation management · company reviews · customer experience · brand monitoring · apify trustpilot