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Frequently Asked Questions
Find answers about review data scraping services, review APIs, datasets, delivery formats, custom data fields, pricing, and platform coverage.
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Review data scraping is the automated process of extracting customer reviews, star ratings, reviewer details, and feedback from publicly visible pages on platforms like Amazon, Google, Yelp, Trustpilot, and G2. Our scrapers visit each page, parse the relevant fields, clean the data, and deliver it to you in your preferred format — CSV, JSON, or Excel — without any manual effort on your end.
Our review scraping service supports 100+ platforms including Amazon, Google Maps, Yelp, Trustpilot, G2, Capterra, TripAdvisor, DoorDash, Uber Eats, Grubhub, Apple App Store, Google Play Store, Booking.com, and many more. If your target platform isn't listed, our team builds custom review scrapers for any publicly accessible source within 48 hours of scoping.
Every review dataset goes through automated and manual quality checks before delivery — checking for duplicates, missing fields, formatting errors, and data consistency. Our review data extraction process maintains above 99% field accuracy across all platform extractions, ensuring the data you receive is clean and analysis-ready from the moment it arrives.
Most standard review scraping projects are delivered within 24–72 hours depending on scope and volume. Large-scale extractions across multiple platforms may take slightly longer, but we agree on a specific timeline before any project begins. For real-time review API access, data is available continuously as soon as the integration is configured.
We extract only publicly visible customer review data — content that any user can read without logging in or creating an account. Our review data collection methods follow ethical scraping practices including rate limiting and responsible crawl behavior. While this is a widely accepted standard across the data industry, we always recommend consulting your legal team for jurisdiction-specific guidance on your intended data usage.
Your review dataset can be delivered in CSV, JSON, or Excel for downloadable files, or via REST API endpoint for live system integration. We also support direct delivery to cloud storage including AWS S3, Google Cloud Storage, and Dropbox. All format preferences are confirmed before your review data extraction project begins so there are no surprises on delivery day.
Yes. Our real-time review API delivers fresh review data continuously as new reviews are posted across your tracked platforms. This is ideal for brands running active review monitoring services, reputation management programs, or dashboards that need live data feeds rather than scheduled batch deliveries. One-time exports and recurring scheduled deliveries are also available.
Absolutely. Multi-platform review scraping is one of our most popular services. We extract and combine customer review data from Amazon, Google, Yelp, Trustpilot, G2, and any other platform into a single unified dataset — with a platform source field on every row so you can filter and compare by source. This gives you a complete view of brand sentiment no single platform can provide.
Yes. If the reviews are publicly visible, we can scrape them. Our team scopes and builds custom review scrapers for any website, app, or marketplace — including niche industry platforms, regional review sites, and newly launched platforms. Share your requirements and we'll confirm feasibility and timeline within 24 hours. Custom review data extraction projects follow the same quality standards as all standard platform extractions.
Review scraping is the process of extracting data — it's how the data is collected. A review data API is a live connection that delivers continuously updated review data to your system in real time. A review dataset is a pre-packaged, downloadable file of collected reviews ready for offline analysis, research, or AI model training. ReviewGators offers all three — and many clients use a combination depending on their use case and team setup.
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