Aggregate reviews, ratings, sentiment, and response data from Google My Business, Trustpilot, Amazon, G2, Capterra, TripAdvisor, Yelp, and 200+ more — collected continuously and delivered as clean, structured data ready for analysis.
Review scraping is the automated collection of customer-generated content from public review platforms — star ratings, written reviews, reviewer details, helpful vote counts, owner responses, and review metadata like date, verified purchase status, and platform source. Aggregated at scale, this data becomes one of the most honest and actionable signals available to any business.
Reviews tell you things surveys don't — unsolicited, unfiltered customer opinion about specific product features, service moments, and competitive alternatives. DataFlirt collects this signal continuously from every platform where your customers, or your competitors' customers, are talking.
Whether you're monitoring your own brand reputation across dozens of platforms, mining competitor reviews for product intelligence, or building an AI model that understands customer sentiment, structured review data is the raw material. We handle the collection, normalisation, and delivery so your team can focus entirely on the insights.
Comprehensive extraction built for reliability, accuracy, and scale.
Collect review text, star rating, date, reviewer name/handle, verified status, helpful votes, and owner responses.
Automated sentiment scoring at review level and phrase level — positive, negative, neutral, with confidence scores.
NLP pipeline identifies recurring product attributes and service themes across thousands of reviews automatically.
Capture full 1–5 star distribution, verified purchase ratio, and review velocity trends over time.
Real-time webhook alerts the moment new reviews are posted for any monitored business or product.
Pull review profiles for any set of competitors and compare rating trajectories, sentiment, and key themes side-by-side.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "platform": "trustpilot", "entity": "Zepto Grocery", "scraped_at": "2025-06-10T09:12:00Z", "rating": 2, "review_text": "Order arrived 45 mins late with missing items. Support was helpful but this keeps happening.", "reviewer": "Priya K.", "verified": true, "date": "2025-06-09", "sentiment": "negative", "topics": ["delivery_delay", "missing_items", "support"], "owner_response": null, "language": "en" }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
Reviews from 200+ platforms normalised into a single consistent schema — no custom parsers per platform required.
Domain-trained sentiment models score each review at the overall and aspect level for granular intelligence.
Polling intervals as low as 15 minutes for major platforms ensure new reviews are captured before they influence purchase decisions.
Reviews collected in 50+ languages with automated translation and language-aware sentiment scoring.
Historical rating archives built from day one, enabling trend analysis and algorithm change detection.
Statistical monitoring flags review velocity spikes and rating manipulation patterns for human review.
From solo analysts to enterprise data teams — here's how organizations use this data.
Structured data tells you what happened. Reviews tell you why. DataFlirt aggregates the authentic customer voice — from Google to G2 to the App Store — into a clean, continuously updated data feed that feeds your analytics, CRM, and AI pipelines. No survey bias. No support ticket filter. Just what customers actually think, at scale.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
For growing teams with serious data requirements.
For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
