Software Reviews Scraper (Trustpilot, multi-source)
Pricing
from $0.40 / 1,000 reviews
Software Reviews Scraper (Trustpilot, multi-source)
Scrape product reviews for any company into one normalized schema. Trustpilot today; G2 and Capterra planned. GDPR-aware: no reviewer profile harvesting.
Pricing
from $0.40 / 1,000 reviews
Rating
0.0
(0)
Developer
Emil Cuzmici
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
8 days ago
Last modified
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Software Reviews Scraper (Trustpilot)
Scrape product reviews for any company into one clean, normalized JSON schema. Give the actor a list of company domains. It returns the reviews from each company's Trustpilot profile.
The output schema is source-neutral. G2 and Capterra sources are planned, and they will share the same schema. You will not have to change your pipeline.
Why this actor
- Real browser. Trustpilot sits behind an anti-bot challenge. This actor solves it with a real browser and residential proxies. No blocked runs.
- Normalized schema. Each review has the same fields, with ISO dates and a source tag. Ready for analysis, dashboards, or LLM pipelines.
- GDPR-lean by default. The output contains no reviewer names unless you
set
includeReviewerNameto true. You get business data: ratings, titles, review text, dates, and verification status. - Pay per result. You pay per scraped review, plus a small start fee.
Input
| Field | Type | Description |
|---|---|---|
companies | array | Company website domains as listed on Trustpilot, e.g. www.notion.so |
maxReviewsPerCompany | integer | Upper limit of reviews per company. Default 100. |
includeReviewerName | boolean | Include the reviewer display name. Default false. |
languages | array | Optional language codes to keep, e.g. ["en", "de"]. Empty keeps all. |
Output
One dataset item per review:
{"source": "trustpilot","company": "www.notion.so","businessName": "Notion","businessTrustScore": 2.3,"businessReviewCount": 427,"reviewId": "6a8b3d233a6b8a16189e7fa6","rating": 2,"title": "Promising product, frustrating onboarding","text": "…full review text…","language": "en","publishedAt": "2026-08-23T20:34:11.000Z","experiencedAt": "2026-08-23T00:00:00.000Z","verified": false,"replyPresent": false}
Common uses
- Competitor and market research across many products at once.
- Sentiment analysis and complaint mining for product teams.
- Review datasets for LLM fine-tuning or RAG (clean text, no personal names).
- Reputation monitoring on a schedule with Apify webhooks.
Fair use and privacy
The actor collects public business review data. Reviewer names are off by default. Do not use the data to profile private individuals.