Trustpilot Reviews Scraper: Export 1–2 Star Competitor Reviews & Replies
Extract verified customer reviews from Trustpilot with star ratings, review text, country, date of experience, verification status, and company reply timestamps.
misterkhan/trustpilot-reviews-scraper misterkhan/trustpilot-reviews-scraper {
"domain": "wise.com",
"stars": [
1,
2
],
"maxItems": 100
} 40+ Structured Fields at $0.50 per 1,000 Reviews
Because this task leverages direct Next.js JSON state pagination instead of slow headless browser scrolling, it extracts 1,000 Trustpilot reviews for just $0.50 in under 20 seconds—complete with verification badges, consumer country codes, date of experience, and full company response threads.
Sample Output Dataset (From My Live Test Run)
Below is a sanitized slice of the actual dataset returned when running this task preset on Apify. You can export the full run directly as CSV, Excel (.xlsx), or JSON:
| Reviewer | Stars | Review Headline | Verified? | Replied? |
|---|---|---|---|---|
| Marcus V. | 1 | Business account verification frozen for 9 business days | true | false |
| Elena R. | 2 | Wire transfer fee increased without clear breakdown | true | true |
How I Wire This Into an Automated Pipeline
- 1. Enter Target Company Domain & Star Filter (Apify Console (misterkhan/trustpilot-reviews-scraper)): Extracts 100+ reviews in ~14 seconds via direct Next.js data pagination.
- 2. Identify Unanswered Negative Reviews (n8n / Slack Webhook): Filter where rating <= 2 and hasCompanyReply == false.
- 3. Categorize Churn Drivers or Alert CS Desk (OpenAI / Looker Studio): Cluster complaints into Billing, Support Latency, or Bug categories automatically.
@misterkhan)
I build and maintain high-efficiency cloud scrapers and Apify Task presets. Want to run this exact configuration right now? Launch the pre-configured task in Apify Console →