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Serving 45+ countries — AI-powered, enterprise-grade data
LATEST → How we scraped 500K grocery SKUs in 48 hours — read the breakdown Read now
LIVE → Real-time scraping APIs with 99.9% uptime SLA
New grocery & FMCG datasets updated daily
FREE → Download sample datasets — no credit card required Get yours
Serving 45+ countries — AI-powered, enterprise-grade data
iOS · Android · Real-Time · Sentiment-Ready

App Store &
Play Store
Reviews Data

Extract thousands of user reviews from the Apple App Store and Google Play Store — including ratings, text, reviewer details, version tags, and language — structured and delivered in any format you need.

  • Apple App Store + Google Play Store — both covered
  • Any app, any country, any language
  • One-time bulk extract or ongoing daily/weekly pipeline
  • Structured CSV, JSON, or direct API delivery
  • Free sample dataset before you commit
  • Custom filtering by rating, date range, keyword, or version
// Sample Review Record Live
4.2
Avg Rating
10K+
Reviews/App
150+
Countries
48hr
Delivery
app_id rating review_text reviewer date version country lang

Every Field You
Actually Need

Each review record comes fully structured — ready to load into your BI tool, sentiment model, or product analytics dashboard without any cleaning.

app_id
Unique app identifier from App Store / Play Store
app_name
Full app name as listed on the store
platform
Apple App Store or Google Play Store
review_id
Unique review ID for deduplication
rating
Star rating — 1 to 5
review_title
Review headline (where available)
review_text
Full review body text
reviewer_name
Display name of the reviewer
reviewer_country
Country of the reviewer
review_date
Date the review was posted (ISO 8601)
app_version
App version the reviewer was using
language
Language of the review (ISO 639-1 code)
developer_reply
Developer response text (if exists)
reply_date
Date of developer reply
helpful_votes
Number of "helpful" votes (Play Store)
scraped_at
Timestamp of data collection

Who Uses
This Data

App review data is one of the richest unstructured sources of real user sentiment — used by product teams, marketers, and competitive intelligence analysts.

📊
Competitive Intelligence

Track what users love and hate about competitor apps. Monitor rating trends over time. Detect when a competitor ships a bad update — before they recover.

  • Competitor app rating history
  • Negative review spike detection
  • Feature gap analysis from user complaints
🤖
Sentiment & NLP Models

Feed structured review text directly into your sentiment pipeline. Train topic models on real user language. Classify bugs, feature requests, and praise at scale.

  • Pre-labelled by star rating
  • Full review text for NLP training
  • Language-tagged for multilingual models
📱
Product & UX Research

Understand what real users struggle with in your own app or a competitor's. Surface recurring pain points without running surveys.

  • Version-tagged reviews to track update impact
  • Developer reply analysis
  • Country-segmented feedback
📈
Brand & Reputation Monitoring

Get alerted when your app rating drops. Track reviewer sentiment by country. Monitor response rates and tone from competitor development teams.

  • Daily rating snapshots
  • Automated low-rating alerts
  • Developer reply tracking
🛍️
App Store Optimisation (ASO)

Understand which keywords appear in high-rated reviews. Analyse what users mention in 5-star vs 1-star reviews to inform store listing copy.

  • Keyword extraction from positive reviews
  • Common complaint mapping
  • Language breakdown by market
⚖️
M&A and Due Diligence

Assess an app's real user satisfaction before acquisition. Identify review manipulation patterns. Build a historical rating profile for any target app.

  • Bulk historical review extraction
  • Rating trajectory analysis
  • Fake review pattern signals

This Is Exactly
What You Get

Three sample rows from a real scraping run. Every field clean, typed, and ready to query.

app_name platform rating review_text reviewer_country app_version review_date
Blinkit Play Store 5 Super fast delivery, app is smooth and the search filters work really well now. Best q-comm app hands down. IN 23.4.1 2026-03-10
Swiggy App Store 2 App keeps crashing on checkout since the last update. Tried reinstalling, no fix. Very frustrating. IN 4.9.6 2026-03-09
Zepto Play Store 4 Great selection in my area. Wish the estimated time was more accurate — shows 10 min but takes 20. IN 2.8.3 2026-03-08

// 3 of N rows shown — full dataset delivered in CSV, JSON, or via API

From Request to
Data in 48 Hours

No long onboarding. No complex contracts. Tell us what apps and markets you need — we deliver a sample before you pay anything.

01
Tell Us What You Need

Share the app names, store (App Store / Play Store), countries, and any filters — rating range, date range, or specific versions. We scope it in minutes.

02
We Deliver a Free Sample

Within 48 hours we send you a sample dataset from your target apps — real data, real structure. You see exactly what you're getting before you commit.

03
Approve & Scale

Once you're happy with the sample, we run the full extraction. For ongoing pipelines we set up daily or weekly refreshes delivered automatically.

04
Data Arrives Your Way

CSV to email, JSON to your S3 bucket, or streamed to your database via API — whatever fits your workflow. No manual steps on your end.

Any App. Any Store.
Any Country.

We cover both major app stores across all available markets. If it has a public review page, we can extract it.

🍎
Apple App Store
iOS · iPadOS · macOS apps
  • All 175 App Store storefronts (countries)
  • Reviews, ratings, and developer replies
  • App version tagging on all reviews
  • Review title + full body text
  • Reviewer display name and country
  • Historical reviews (back to app launch)
  • Filtered by rating, date, or keyword
  • Top charts and category ranking data
Google Play Store
Android apps · all categories
  • All Play Store markets globally
  • Reviews, ratings, and developer replies
  • Helpful vote count per review
  • Full review text + reviewer name
  • App version the reviewer was running
  • Review date with timezone
  • Historical reviews (up to 100K+ per app)
  • Install count, category, and app metadata
// Popular apps we regularly extract reviews for
Blinkit Zepto Swiggy Zomato Amazon Flipkart Myntra Meesho PhonePe Paytm CRED BigBasket Dunzo Instamart JioMart Nykaa Urban Company MakeMyTrip Airbnb Uber Ola Rapido BYJU'S Unacademy

Delivered the Way
You Work

One-time dump or live pipeline — we adapt to your infrastructure, not the other way around.

📁
One-Time Bulk Extract

Need a historical dataset of all reviews for a set of apps? We deliver a complete extract in your chosen format within 48 hours.

  • CSV or JSON file delivery
  • Up to 100K+ reviews per app
  • Delivered via email, S3, or SFTP
🔄
Recurring Pipeline

New reviews collected daily, weekly, or at a custom interval. Delta updates only — you receive only new reviews since the last run.

  • Daily or weekly delivery
  • Delta mode — no duplicates
  • Auto-delivered to your storage
API Access

Query our review database via REST API. Filter by app, date, country, rating, or keyword. Integrate directly into your product or dashboard.

  • REST API with JSON responses
  • Filter and sort parameters
  • Webhook support for new reviews

Common Questions

For most apps we can extract the full available review history — which can range from a few hundred to several hundred thousand reviews depending on the app's age and popularity. We'll give you an estimate during scoping.
Yes. We extract reviews in all languages available on both stores. Every record includes a language code so you can filter or segment by language downstream.
For Google Play, review history varies by app — typically up to 2–3 years. For the App Store, Apple limits public review visibility to the most recent reviews per market, but we maximise coverage within those constraints.
Yes. We can apply filters during extraction — by star rating (e.g. only 1 and 2 star), by keyword in review text, by date range, or by app version. Filtered extracts reduce volume and cost.
Absolutely. Most clients extract from both stores simultaneously for a consistent cross-platform view of user sentiment. We normalise the schema so both stores deliver the same field structure.
App store reviews are publicly visible user-generated content. We collect only what any user can see in a browser, in compliance with robots.txt directives and publicly accessible endpoints. We do not scrape private user data.
We deliver via CSV file (email or S3), JSON (API or S3), or direct database push. For recurring pipelines we set up automated delivery on your schedule — you don't need to request each batch manually.
Yes — always. We extract a sample batch from your target apps and deliver it before you pay anything. You see the exact schema, field quality, and coverage before making a decision.
Get Started

Get a Free Sample
In 48 Hours

Tell us which apps and markets you need. We'll send you a real sample dataset — no commitment, no credit card, no sales call required.

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