Scrape customer reviews, star ratings, and feedback from Amazon, Yelp, Google, Trustpilot, G2, and 50+ review sites. Power sentiment analysis, brand monitoring, and product improvement with structured review data at scale.
Overall rating, individual star breakdown, and rating trends over time.
Full review text, title, pros/cons, and helpful votes counts.
Reviewer name, location, review count, and verified purchase status.
Review date, platform source, product/service name, and response status.
Optional sentiment scoring (positive/neutral/negative) and emotion detection.
Images and video URLs attached to reviews (where publicly available).
Need a specific review site? We build custom extractors for any platform.
Specify products, businesses, or categories and review platforms.
We design a custom data model matching your required fields.
Bots extract reviews and optionally add sentiment analysis.
Structured data via CSV, API, or database with scheduled updates.
Monitor overall sentiment and respond to feedback across all platforms.
Analyze competitor reviews to identify strengths, weaknesses, and market gaps.
Identify common complaints and feature requests to guide product roadmap.
Build datasets for sentiment analysis, text classification, and NLP models.
Evaluate consumer sentiment toward brands and products for investment decisions.
Power review summary sites and product comparison platforms.
For small businesses and product teams.
All plans include onboarding and schema design. Talk to sales for custom volumes.
"MyDataScraper extracts 50,000+ Amazon reviews monthly for our product team. The sentiment analysis helps us identify issues and prioritize improvements faster than ever."
"We use their review scraper to monitor 200+ restaurant locations across Yelp and Google. Real‑time alerts on negative reviews have transformed our response time."
Get a free sample dataset of 500 reviews from your target products or businesses.
Complete the form below and our team will provide a custom quote within 24 hours.