## Trustpilot Reviews Scraper
**💰 $3.20 / 1 000 results** · pay only for results · no credit card to try
*We do the dirty work so your dataset stays clean.* 😈
Scrape structured reviews and business-summary data from Trustpilot business review pages, across an arbitrary list of businesses, with pagination and star-rating filtering, in a single run.
***
### 🎯 What this scrapes
Trustpilot is the review platform businesses live and die by — and comparing reputation across even a handful of competitors means opening a dozen browser tabs and copy-pasting by hand. This Actor takes a list of businesses (bare domains or full review URLs) and returns every review, paginated and optionally filtered by star rating, in one normalized dataset — reviewer details, verification level, company replies, and the business's own trust score and review count, side by side.
### 🔥 What we handle for you
- 🛡️ **We solve the challenge once, not per page** — a single browser pass clears the target's interstitial, then every subsequent request replays cleanly.
- 🌐 **Apify Proxy on every request**, with automatic re-solve if a session goes stale mid-run.
- 🔁 **We retry with exponential backoff** on `408 / 429 / 5xx` and honour `Retry-After`.
- 🧱 **Fault isolation per business** — one blocked or malformed business is skipped and logged; the rest of your run finishes.
- 🧊 **Clean, typed dataset rows** — Pydantic-validated, deduped by review ID, JSON / CSV export straight from the Apify Console.
- 💰 **Pay-Per-Event pricing** — you only pay for reviews that land in your dataset.
### 💡 Use cases
- **Competitive reputation tracking** — pull reviews for your business and its top competitors in one run.
- **Customer feedback mining** — feed review text into sentiment analysis or a support-ticket triage pipeline.
- **Sales and partnership research** — check a prospective partner's trust score and recent review trend before a call.
- **Review-response auditing** — see which reviews a business replied to, and how fast.
### ⚙️ How to use it
1. Click **Try for free** at the top of the page.
2. Add one or more businesses — a bare domain (`nike.com`) or a full `trustpilot.com/review/...` URL.
3. Optionally set a max reviews per business, a star-rating filter, or a language filter.
4. Click **Start**. Reviews stream into the run's dataset as they're scraped.
### 📥 Input
| Field | Type | Required | Description |
|---|---|---|---|
| `businesses` | array of string | Yes | Bare domains or full Trustpilot review URLs. |
| `maxReviewsPerBusiness` | integer | No (default 100) | Cap per business, 1-5000. |
| `stars` | integer | No | Restrict to a single star rating, 1-5. |
| `language` | string | No | ISO 639-1 language filter. |
| `proxyConfiguration` | object | No | Apify Proxy configuration. |
```json
{
"businesses": ["nike.com", "amazon.com"],
"maxReviewsPerBusiness": 50,
"stars": null,
"language": null,
"proxyConfiguration": { "useApifyProxy": true }
}
```
### 📤 Output
| Field | Type | Description |
|---|---|---|
| `review_id` | string | Trustpilot review ID. |
| `reviewer_name` | string | Display name of the reviewer. |
| `reviewer_country` | string | null | Reviewer's country code, when public. |
| `rating` | integer | Star rating, 1-5. |
| `title` | string | Review title. |
| `body` | string | Review text. |
| `date_experienced` | string | Date the reviewer experienced the service. |
| `date_published` | string | ISO-8601 publish timestamp. |
| `is_verified` | boolean | Whether Trustpilot marks the review as verified. |
| `verification_level` | string | null | Verification tier, when exposed. |
| `company_reply_text` | string | null | Business's reply, if any. |
| `company_reply_date` | string | null | Date of the business's reply, if any. |
| `language` | string | null | Review language, when exposed. |
| `source_business_domain` | string | Business identifier from input. |
| `business_display_name` | string | Business's display name on Trustpilot. |
| `business_trust_score` | number | null | Business's current trust score. |
| `business_review_count` | integer | null | Business's total review count. |
```json
{
"review_id": "64f1a2b3c9d4e5f6a7b8c9d0",
"reviewer_name": "J. Alvarez",
"reviewer_country": "US",
"rating": 5,
"title": "Fast shipping, great fit",
"body": "Ordered on Monday, arrived Thursday. Sizing chart was accurate.",
"date_experienced": "2026-09-01",
"date_published": "2026-09-03T14:22:10.000Z",
"is_verified": true,
"verification_level": "verified",
"company_reply_text": null,
"company_reply_date": null,
"language": "en",
"source_business_domain": "www.nike.com",
"business_display_name": "Nike",
"business_trust_score": 1.5,
"business_review_count": 13038
}
```
### 💰 Pricing
Pay-Per-Event. No subscription, no minimum spend.
| Event | Price | Trigger |
|---|---|---|
| Actor start | $0.20 | Once per run |
| Result row | $0.003 | Once per review pushed to your dataset |
100 reviews across your businesses costs about $0.50 total ($0.20 + 100 × $0.003). At 1,000 reviews the flat start fee amortizes down to roughly $3.20 per 1,000 results.
### 🚧 Limitations
- Business review pages only — reviewer profile pages and review history are out of scope.
- No point-in-time snapshots; each run reflects current live data.
- The `language` filter falls back to client-side filtering if Trustpilot exposes no matching query parameter for it.
- Date-range filtering is not supported — no confirmed query parameter exists for it.
### ❓ FAQ
**Does this work for any business on Trustpilot?**
Yes — supply a bare domain or a full review URL for any business with a public Trustpilot page.
**What happens if one business in my list is blocked or invalid?**
That business is skipped and logged; the rest of your run completes normally.
**Do I get charged if a business has zero matching reviews?**
No — you're only charged per review row actually pushed to your dataset, plus the flat run-start fee.
### 🙋 Your feedback
Found a bug or have a feature request? Open an issue on the Actor's Apify Store page or reach out via [apify.com/DevilScrapes](https://apify.com/DevilScrapes) — we read every message.
# Actor input Schema
## `businesses` (type: `array`):
Businesses to scrape reviews for. Accepts a bare domain (e.g. 'nike.com') or a full trustpilot.com/review/... URL — both are normalized to the same identifying-name segment internally.
## `maxReviewsPerBusiness` (type: `integer`):
Cap on reviews fetched per business. Each business's cap is independent (fault isolation) — one business hitting its cap or failing never affects another.
## `stars` (type: `integer`):
Optional. Restrict results to reviews with this exact star rating (1-5). Leave unset to fetch all ratings.
## `language` (type: `string`):
Optional. ISO 639-1 language code (e.g. 'en'). Filters reviews by language; falls back to client-side filtering if Trustpilot exposes no matching query parameter.
## `proxyConfiguration` (type: `object`):
Apify Proxy configuration used for both the one-time challenge solve and every subsequent request. Datacenter-first by default — no residential group is forced unless cloud QA proves it's required.
## Actor input object example
```json
{
"businesses": [
"nike.com",
"amazon.com"
],
"maxReviewsPerBusiness": 50,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `datasetItems` (type: `string`):
All dataset items as JSON.
## `datasetItemsCsv` (type: `string`):
Same data exported to CSV.
## `datasetView` (type: `string`):
Open the run dataset in the Console.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '