We extract app metadata, install estimates, category rankings, developer intelligence, and reviews from Google Play. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for App Listings objects from play.google.com. All fields typed and schema-versioned.
"package_name": "com.spotify.music", "title": "Spotify: Music and Podcasts", "developer": "Spotify AB", "category": "Music & Audio", "is_free": true, "installs_bucket": "1,000,000,000+", "rating_score": 4.4, "rating_count": 28491032, "contains_ads": true, "offers_iap": true
| # | package_name | title | developer | developer_id | category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from play.google.com. All fields typed and schema-versioned.
"review_id": "gp:AOqpTOE2v...", "package_name": "com.spotify.music", "rating": 5, "review_text": "Best music streaming app. The algorithm is incredibly accurate.", "helpful_votes": 412, "review_date": "2026-03-14T08:22:10Z", "app_version": "8.8.14.575", "developer_reply": "None"
| # | review_id | package_name | author_name | author_avatar | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Developer Profiles objects from play.google.com. All fields typed and schema-versioned.
"developer_id": "5322223039200010912", "developer_name": "Spotify AB", "website_url": "https://www.spotify.com", "support_email": "android-support@spotify.com", "physical_address": "Regeringsgatan 19, 111 53 Stockholm, Sweden", "total_apps": 4, "is_top_developer": true
| # | developer_id | developer_name | website_url | support_email | physical_address | privacy_policy_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Top Charts objects from play.google.com. All fields typed and schema-versioned.
"country_code": "IN", "category": "GAME_ACTION", "chart_type": "top_free", "rank": 1, "package_name": "com.pubg.imobile", "title": "BATTLEGROUNDS MOBILE INDIA", "movement": "up_2", "scraped_at": "2026-05-12T10:15:00Z"
| # | country_code | category | chart_type | rank | package_name | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Versions & Tech objects from play.google.com. All fields typed and schema-versioned.
"package_name": "com.spotify.music", "current_version": "8.8.14.575", "updated_date": "2026-05-10", "minimum_android_version": "5.0 and up", "released_date": "2014-06-25", "permissions_list": "['Microphone', 'Location', 'Storage', 'Bluetooth']"
| # | package_name | current_version | updated_date | minimum_android_version | apk_size | interactive_elements |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Google Play scraper handles every layer of the platform: app listings, dynamic top charts, developer portfolios, and the review corpus. We build in JavaScript rendering, regional proxy routing, and internal API parsing.
Title, description, recent changes, precise install buckets, ratings, content rating, and pricing scraped at the package level.
Extract localized app data using specific country codes (gl) and language codes (hl) via regional residential proxies.
Track top free, top paid, and top grossing charts across all categories and regions to monitor market movement.
Full review text, ratings, helpful votes, app version, and developer replies paginated across the entire review history.
Extract support emails, physical addresses, privacy policies, and complete app portfolios for any developer ID.
Capture the exact permissions requested by the app and the developer's declared data safety practices.
Track organic search ranking positions for any keyword across multiple regions to optimise ASO strategies.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Extract the exact distribution of 1-star to 5-star ratings to analyse sentiment shifts over time.
Brief in. Clean data out.
Provide package name lists, category URLs, keyword sets, or developer IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and internal API parsing for play.google.com.
Schema validation, null-rate checks, rank-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Google Play relies heavily on dynamic internal APIs and aggressive rate limiting. Here is how we stay resilient. Teams choose managed infrastructure over DIY for a reason.
Google Play's web interface loads data via complex, batched POST requests containing nested arrays rather than standard JSON. Our pipeline parses these internal endpoints directly, bypassing the need to render the heavy DOM for every pagination step, increasing speed and reliability.
App availability, pricing, and top charts vary wildly by country. We pass strict geolocation parameters and route requests through matching regional residential proxies to ensure you get the exact localized data you need, not a generic US fallback.
Extracting tens of thousands of reviews for popular apps requires handling Google's cursor-based pagination. We maintain session state and handle token expiration automatically, ensuring deep review extraction without dropping records.
Google aggressively rate-limits IPs that poll app data too frequently. We distribute requests across a massive pool of ISP-grade residential proxies, adding randomised delays and jitter to mimic natural user behaviour.
Google updates Play Store web layouts frequently. Our selector strategy uses multiple fallback chains per field. A layout change does not break your data pipeline overnight.
Mobile publishers track keyword rankings, title changes, and review sentiment to optimise their own app listings.
Analysts track install bucket changes and top chart movements to identify breakout apps and growing categories.
Product teams monitor competitor version updates, feature releases, and user complaints in reviews to guide roadmaps.
B2B service providers extract developer support emails and physical addresses to build targeted sales lists.
OEMs and alternative marketplace operators sync metadata and APK details to populate their own catalogues.
Security teams monitor the store for copycat apps, trademark infringement, and malicious clones using keyword and developer analysis.
"Google Play is the definitive record of the Android ecosystem and mobile software trends. None of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable Google Play scraping requires regional residential proxies, full JavaScript rendering, internal API parsing, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our play.google.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About play.google.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Google Play is generally permissible under applicable law. DataFlirt targets only public, non-authenticated app metadata, developer info, and public reviews. We do not extract personal data or bypass authentication walls. Clients should review Google's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. We monitor for 429 Too Many Requests responses in real time and trigger pool rotation automatically.
Yes. We use the 'gl' (geolocation) parameter combined with regional residential proxies to extract accurate pricing, availability, and top charts for any target country.
Real-time streaming pipelines achieve sub-60-minute latency for top chart movements. Full catalogue refreshes at daily cadence complete within a 6-12 hour window depending on size.
Yes. We parse Google's internal batch APIs to paginate through historical reviews efficiently, capturing ratings, text, helpful votes, and developer replies.
Our smallest packages start at a defined package name list (typically 1,000-50,000 apps) with weekly delivery. For larger catalogues or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 apps or 50 search result pages as part of the pre-engagement scoping process. You can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off developer catalogue dump or a continuous ranking feed across 500K apps. We scope, build, and operate the pipeline. Tell us what you need.
