AI powered web data services from intelligent crawling to deep web extraction
Scalable review scraping solutions for all industries and business needs
Extract real-time web data effortlessly with our scraping API
Extract app reviews to analyze trends, user feedback, and ratings efficiently
Gather reviews from multiple platforms for comprehensive data and analysis
Aggregate and analyze customer reviews from all platforms in one place
Scrape reviews from every platform in one powerful tool for smarter analysis.
Collect feedback from all platforms in one easy-to-use tool for better analysis
Effortlessly scrape e-commerce reviews to gain insights and boost your strategy
Effortlessly scrape and analyze grocery reviews for better shopping decisions
Instantly scrape quick commerce reviews to gather valuable customer feedback
Quickly gather food and restaurant reviews to boost your data-driven decisions
Collect travel reviews from all platforms for smarter guest insights.
Collect real estate reviews from trusted sources across various platforms seamlessly
Unlock trends and data with comprehensive research
Track competitors and stay ahead easily
Analyze customer sentiment for better decisions
Drive innovation with data-driven development
Protect and boost your brand image
Make smarter decisions with data support
Monitor and improve brand feedback data
Collect product reviews seamlessly via API
Discover trends with our comprehensive market research tools
Track and analyze competitors to gain a strategic edge
Analyze customer sentiment to improve your business strategy
Leverage data to innovate and enhance product development
Safeguard and enhance your brand's reputation online
Use data to guide strategic and impactful business choices
Monitor feedback to refine your branding and strategy
Easily gather reviews with our powerful scraping API
Efficiently collect reviews across industries with our scraper APIs
Access a wide range of high-quality datasets for various industries
Advanced Retail Intelligence Data Extraction
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Coupang Reviews Scraper -Web Scraping Coupang Reviews Data
Gather customer reviews from e-commerce platforms with ease
Collect real-time reviews from quick commerce platforms effortlessly
Scrape food & restaurant reviews for better customer insights
Extract reviews from real estate platforms for better analysis
Gather reviews from travel and hotel sites to improve services
Scrape company reviews to monitor reputation and customer feedback
Explore detailed e-commerce reviews for informed decision-making
Discover Q-commerce reviews to understand rapid delivery trends
Access food and restaurant reviews for better market insights
Get real-estate reviews to analyze property trends and preferences
Access travel and hotel reviews to guide tourism-related decisions
Analyze company reviews to evaluate reputation and employee sentiment
Latest industry trends, tips & updates
In-depth industry research & data insights
Engaging visuals for data & trends
Stay updated with the latest trends in data solutions
Explore how DataZivot helps businesses thrive with data
Access detailed reports for informed business decisions
Visualize key data trends with clear, impactful infographics
Get in touch with DataZivot for support, queries, or partnerships
Empowering businesses with data-driven technology at DataZivot
Looking to extract valuable insights from customer reviews? Dataziot specializes in review data scraping across top platforms to help you make smarter business decisions. Whether you need product feedback, sentiment analysis, or competitive benchmarking, our team is ready to assist. Contact us for custom solutions, pricing, or technical support—we’re here to help you access accurate, structured review data with ease. Reach out via our form, email, or phone, and let’s turn online reviews into actionable intelligence for your business.
At Dataziot, we specialize in providing high-quality review data scraping services to businesses looking to unlock valuable insights from customer feedback across platforms. Our advanced scraping technology ensures accurate, real-time extraction of reviews and sentiment data, empowering businesses to make informed decisions, enhance products, and monitor competition. With a team of data experts, we are committed to delivering reliable, customizable solutions that meet the unique needs of clients, driving success in a data-driven world.
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Review Data Scraping Services · Review Data API
Our Review Data Scraping Services and Review Data API extract customer reviews from 100+ platforms — e-commerce, food delivery, travel, real estate, grocery and more — so your team can track sentiment, benchmark competitors, and ship decisions backed by real customer voice, not guesswork. Get a free sample dataset and see the data quality for yourself, no commitment required.
REVIEW DATA COLLECTED ACROSS
What we build
Whichever way you need review data collected — one platform or fifty — our Reviews Data Scraping Service has a build for it.
Extract reviews directly from any public website, including dynamically rendered pages and paginated review threads.
Collect reviews and star ratings from the App Store and Google Play, mapped by version, region, and language.
One integration, every platform. Pull reviews from marketplaces, directories, and niche sites without separate builds.
Aggregate reviews for the same product or business across every platform it appears on, deduplicated and normalized.
A single scraping layer tuned to handle review formats, layouts, and anti-bot defenses across hundreds of sites at once.
Bring reviews, ratings, Q&A, and open-text feedback into one feed for easier downstream analysis.
Product-level review extraction from marketplaces, tied to SKU, variant, and seller for accurate benchmarking.
Location-level review collection for multi-branch brands — track every storefront, not just the head office listing.
Every branch below reads the same live review stream — routed to a different job depending on what you need to decide.
Spot category trends and shifting customer expectations before they show up in quarterly reports.
Track competitor ratings, complaints, and feature requests continuously, not just at renewal time.
Score customer tone and emotion across thousands of reviews per hour, automatically.
Turn recurring complaints into a validated, evidence-backed product roadmap.
Catch reputation risk early, across every platform your business is listed on.
Back expansion, pricing, and investment calls with structured customer evidence.
Watch sentiment shift week over week, not just at product launch.
Pipe fresh review data straight into your own systems, on your schedule.
Coverage
Our Review Data Scraping Services already cover 100+ platforms across every major category. Pick a category below to see what we support today — if your platform isn't listed, we'll scope a custom build.
Ready-made
Skip the setup time. Every review dataset is pre-scoped, refreshed on a schedule, and delivered in the format your pipeline already expects — ideal for teams that need review data live this week, not next quarter.
Product-level reviews with rating, verified-purchase flag, and helpful votes — built for competitor and pricing benchmarking.
SKU-mapped reviews and ratings across categories and sellers — useful for marketplace share-of-voice tracking.
Company-level reviews with reply status and reviewer verification — a strong fit for reputation and CX reporting.
App reviews segmented by app version, device, and country — built to feed directly into product and QA teams.
Hotel and restaurant reviews with trip type and traveler rating breakdown — ready for OTA and guest-experience benchmarking.
Restaurant reviews with ratings, customer feedback, food quality, delivery experience, and dining insights — ideal for restaurant analytics, competitor benchmarking, and market research.
Engine
Review pages are the hardest thing on the web to scrape reliably — infinite scroll, region-locked content, logged-in-only reviews, and constant layout changes. Our scraper engine is purpose-built for exactly that.
# scraper status — last 24h platform pages_crawled reviews_found amazon 18,204 61,880 zomato 9,442 27,015 trustpilot 6,120 14,930 tripadvisor 7,865 21,410 status: healthy retries: 0.2%
curl https://api.datazivot.com/v1/reviews \ -H "Authorization: Bearer YOUR_KEY" \ -d '{"platform":"trustpilot","target":"acme.com"}' → response { "platform": "trustpilot", "review_id": "tp_88213", "rating": 5, "sentiment": "positive", "verified": true, "date": "2026-07-31" }
Integration
Skip the file exports. Our Review Data API lets you query fresh review data on demand, or subscribe to a webhook and get new reviews the moment they're published — built to sit alongside our Review Data Scraping Services, not replace them.
Schema
Every review is normalized to the same schema, regardless of source platform — so your team builds one pipeline, not fifteen.
Beyond raw text
Structured fields are the foundation — our review analytics layer adds sentiment scoring, topic extraction, and trend tracking to turn them into a story your team can act on.
Scored automatically as reviews are collected — no manual tagging required, and every score is traceable back to the source review.
ALL PLATFORMS · UPDATED 4 MIN AGO
Plug and play
Not every team wants to build a BI layer on top of raw data. Our ready-made dashboard gives you ratings, sentiment, and platform breakdowns out of the box — live the same day your scraper goes active.
Coverage by sector
Filter to see how teams in each industry actually put review data to work.
Monitor seller ratings and customer feedback across marketplaces to identify quality issues and improve seller performance.
→ Detect declining seller ratings before they impact sales
Compare customer reviews, ratings, and feedback across competing products to identify strengths, weaknesses, and market opportunities.
→ Benchmark products against top competitors
Analyze recurring customer complaints to uncover product defects, packaging issues, and quality improvement opportunities.
→ Reduce returns through actionable customer insights
Extract and analyze customer sentiment from product reviews to understand buyer satisfaction and emerging trends.
→ Improve customer experience with data-driven decisions
Track customer feedback across multiple marketplaces to monitor brand perception and respond to negative trends quickly.
→ Protect and strengthen brand reputation
Collect structured review data to identify consumer preferences, feature requests, and buying behavior across product categories.
→ Discover new product opportunities using customer feedback
Track customer ratings and reviews across food delivery and restaurant platforms to measure customer satisfaction.
→ Improve restaurant ratings with customer insights
Analyze customer feedback on delivery speed, packaging, and order accuracy to identify service gaps.
→ Enhance delivery performance and customer experience
Identify the most-loved and least-liked menu items by analyzing customer reviews and ratings.
→ Optimize menus using real customer feedback
Compare customer reviews, ratings, and dining experiences across competing restaurants and food brands.
→ Stay ahead with competitor review intelligence
Extract customer opinions on food quality, service, ambience, and pricing to uncover satisfaction trends.
→ Make data-driven decisions to improve guest experience
Monitor reviews across multiple food delivery and restaurant platforms to protect and strengthen brand reputation.
→ Respond faster to negative feedback and improve customer trust
Track guest reviews and ratings across hotel booking platforms to monitor brand reputation and service quality.
→ Improve guest satisfaction with review insights
Analyze guest feedback on cleanliness, staff, amenities, and overall stay experience to identify improvement areas.
→ Enhance the overall guest experience
Compare reviews, ratings, and customer sentiment across competing hotels to identify market opportunities.
→ Stay competitive with review intelligence
Extract traveler feedback on flights, tours, accommodations, and travel services to uncover customer preferences.
→ Make data-driven service improvements
Monitor review trends for hotels, resorts, and vacation rentals to evaluate property performance across locations.
→ Identify top-performing and underperforming properties
Collect customer reviews from travel platforms to understand booking behavior, destination trends, and traveler expectations.
→ Optimize travel offerings with customer feedback
Track customer reviews and ratings for residential and commercial properties across real estate platforms.
→ Build trust with reputation insights
Analyze client feedback to evaluate agent responsiveness, professionalism, and overall customer experience.
→ Improve agent performance and client satisfaction
Compare reviews, ratings, and customer feedback across competing real estate agencies and property listings.
→ Stay ahead with competitive market insights
Extract buyer and tenant feedback to understand preferences, expectations, and recurring concerns.
→ Make smarter property and service decisions
Analyze reviews to identify trends related to neighborhoods, amenities, pricing, and property features.
→ Discover high-demand locations and buyer preferences
Collect structured review data to evaluate market trends, customer expectations, and investment opportunities.
→ Make data-driven real estate investment decisions
Analyze customer reviews to identify recurring feedback on freshness, product quality, and packaging across grocery platforms.
→ Improve product quality with customer insights
Track customer feedback on delivery speed, missing items, and order accuracy to optimize fulfillment operations.
→ Reduce delivery issues and improve customer satisfaction
Compare ratings, reviews, and customer experiences across competing grocery and quick-commerce platforms.
→ Benchmark your services against competitors
Extract customer sentiment from reviews to understand preferences, buying behavior, and service expectations.
→ Make smarter inventory and service decisions
Monitor reviews for individual stores and dark stores to identify operational issues and regional performance trends.
→ Improve consistency across all fulfillment locations
Track customer feedback across grocery marketplaces to identify negative trends and strengthen brand reputation.
→ Respond faster to customer concerns and build trust
Analyze user reviews to identify feature requests, usability issues, and product improvement opportunities.
→ Prioritize product updates with customer insights
Compare reviews, ratings, and customer feedback across competing SaaS products to understand market positioning.
→ Stay ahead with competitor intelligence
Extract customer sentiment from software reviews to measure satisfaction, identify pain points, and improve user experience.
→ Increase customer satisfaction and retention
Monitor negative reviews and recurring complaints to identify early signs of customer dissatisfaction and churn.
→ Reduce churn with proactive improvements
Track software reviews across platforms to monitor brand perception and respond quickly to customer feedback.
→ Build trust and strengthen your brand reputation
Collect review data to uncover industry trends, customer expectations, and emerging product opportunities.
→ Make data-driven product and business decisions
The business case
Manually checking reviews platform by platform doesn't scale. Review Data Scraping Services give your business a live, structured view of what customers are actually saying — across every platform you're listed on, not just the one someone remembers to check.
Track competitor ratings, pricing complaints, and feature requests continuously, so you always know where you stand before a deal review or board meeting.
Catch reputation risk the moment it appears across any platform, respond faster, and stop a bad week from turning into a lasting rating problem.
Score customer tone automatically across thousands of reviews, turning open-text feedback into a trend line your leadership team can actually act on.
Surface recurring complaints and feature requests straight from customer reviews to prioritize your product roadmap with real evidence, not opinions.
Understand what customers value most in your category — and where competitors are falling short — before it shows up in a quarterly report.
Combine ratings, response times, and sentiment into one view of the customer experience across every touchpoint and platform your business operates on.
The short version
Stop building a new parser for every source. Every platform maps to the same clean fields.
We collect only publicly accessible information — no logins bypassed, no private data touched.
Custom fields, custom schedules, custom delivery format — not a rigid one-size-fits-all export from a generic review data provider.
You get a named point of contact who knows your setup, not a rotating support queue.
API, webhook, CSV, or JSON drop — plugged into the pipeline you already run.
From a one-off sample to millions of reviews a month, without re-architecting anything.
Platforms supported
Scraper uptime
Industries served
Global regions covered
How we work
Four steps between "we need review data" and a dataset that's actually usable.
We scope which platforms, fields, and refresh frequency your use case actually needs.
We design the schema and collection strategy around your requirement, not a generic template.
Our scraper engine runs the collection, handling anti-bot defenses and layout changes automatically.
Clean data lands in your chosen format, with a dedicated engineer for anything that comes up after.
Questions
Get in touch with us today!
Datazivot, the world's largest review data scraping company, offers unparalleled solutions for gathering invaluable insights from websites.
60 Paya Lebar Rd, #11-22 Paya Lebar Square PMB 1010 Singapore 409051
sales@datazivot.com
+1 424 3777584