We extract package metadata, version histories, download links, developer intelligence, and reviews from Uptodown. 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 Metadata objects from uptodown.com. All fields typed and schema-versioned.
"package_name": "com.whatsapp", "app_name": "WhatsApp Messenger", "developer": "WhatsApp LLC", "category": "Communication", "license": "Free", "os": "Android", "latest_version": "2.24.10.73", "downloads": "182049182"
| # | package_name | app_name | developer | category | license | os |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Version History objects from uptodown.com. All fields typed and schema-versioned.
"package_name": "com.whatsapp", "version_number": "2.24.9.71", "release_date": "2024-04-12", "size_mb": 84.2, "download_url": "https://dw.uptodown.com/dwn/...", "min_os": "Android 5.0", "architecture": "arm64-v8a"
| # | package_name | version_number | release_date | size_mb | download_url | changelog |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Developer Info objects from uptodown.com. All fields typed and schema-versioned.
"developer_name": "WhatsApp LLC", "developer_url": "https://whatsapp-llc.en.uptodown.com/android", "total_apps": 4, "total_downloads": 240591829, "website": "https://www.whatsapp.com", "contact_email": "android@support.whatsapp.com"
| # | developer_name | developer_url | total_apps | total_downloads | website | contact_email |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from uptodown.com. All fields typed and schema-versioned.
"review_id": "rev_981273", "package_name": "com.whatsapp", "user_name": "AndroidUser99", "rating": 5, "date": "2024-03-15", "text": "Best messaging app out there.", "helpful_votes": 12
| # | review_id | package_name | user_name | rating | date | text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search & Discovery objects from uptodown.com. All fields typed and schema-versioned.
"keyword": "messaging", "rank": 1, "app_name": "WhatsApp Messenger", "package_name": "com.whatsapp", "rating": 4.5, "downloads": "182049182", "category": "Communication"
| # | keyword | rank | app_name | package_name | rating | downloads |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Uptodown scraper handles every layer of the platform: app metadata, version archives, direct download URLs, and developer intelligence, with full bypass of rate limits and anti-bot systems.
Title, description, icon, license type, OS requirements, and category data scraped at the package level.
Extract release dates, changelogs, and file sizes for every historical APK version listed on the platform.
Capture the raw download URLs for APKs and XAPKs by navigating the tokenized download flow.
Aggregate total apps, combined download counts, and contact information across developer profiles.
Extract user feedback, star ratings, and helpful vote counts paginated across all app reviews.
Extract software catalogues for Android, Windows, and Mac environments from the unified directory.
Extract embedded malware scan results and security reports for individual APK files.
Track top downloaded apps and trending software across specific categories and regions.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change detection.
Brief in. Clean data out.
Provide package names, category URLs, keyword sets, or developer IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for uptodown.com.
Schema validation, null-rate checks, and sample extraction before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting large-scale app data requires navigating dynamic download flows and rate limits. Here is how we maintain pipeline stability.
We use residential ISP proxies with realistic browser fingerprints and randomised request timing to bypass rate limits and IP bans when scraping thousands of app pages.
Uptodown protects direct APK URLs behind tokenized redirect flows. Our pipeline executes the necessary JavaScript sequences to extract the final, valid download URL for your records.
Our selector strategy uses multiple fallback chains per field, ensuring that minor DOM updates to the Uptodown interface do not break your data pipeline.
For large app catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing download URLs, and coverage drops.
Market intelligence firms track download volumes and category rankings outside the Google Play ecosystem.
Security teams ingest APK download URLs and historical versions to scan for vulnerabilities and malware signatures.
Product teams monitor competitor release cadences and changelogs to benchmark feature velocity.
Researchers map historical application versions and metadata for digital preservation projects.
Analysts track growing app categories and geographic popularity trends based on download velocity.
Ad networks extract developer contact information to pitch monetization SDKs to high-traffic app creators.
"Uptodown hosts millions of Android applications and their historical versions, an invaluable dataset for threat intelligence and market research, provided you can map the package structures at scale."
Most teams underestimate the investment required: reliable Uptodown scraping requires handling dynamic download tokens, residential proxies, CAPTCHA bypass, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our uptodown.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, tokenized download flows, and interaction flows.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. 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 uptodown.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Uptodown is generally permissible. DataFlirt targets only public, non-authenticated app metadata, version logs, and download links. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate spikes in real time and trigger pool rotation automatically.
We extract data across their Android, Windows, and Mac software directories, mapping standard schema fields regardless of the target operating system.
Full catalogue refreshes at daily cadence complete within a 6-12 hour window depending on target volume. Real-time monitoring for specific high-value packages can be configured for hourly checks.
Yes. We scrape the version archive pages for each app, extracting release dates, file sizes, changelogs, and download URLs for previous iterations.
Our smallest packages start at a defined package list with weekly delivery. For full-category or site-wide extraction, we price based on volume and delivery frequency.
No. We extract and deliver the direct download URLs. Your systems can then programmatically download the binary files using the URLs we provide.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off metadata dump or a continuous version-monitoring feed across 1M packages, we scope, build, and operate the pipeline. Tell us what you need.
