We extract APK metadata, version histories, malware scan results, user reviews, and store metrics from Aptoide. 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 aptoide.com. All fields typed and schema-versioned.
"package_name": "com.whatsapp", "app_name": "WhatsApp Messenger", "developer": "WhatsApp LLC", "version": "2.23.21.88", "size_bytes": 45800000, "downloads": 450000000, "rating": 4.6, "trusted_badge": true
| # | package_name | app_name | developer | category | version | size_bytes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Version History objects from aptoide.com. All fields typed and schema-versioned.
"package_name": "com.whatsapp", "version_code": 232188, "version_name": "2.23.21.88", "release_date": "2023-10-15", "size_bytes": 45800000, "md5_hash": "a1b2c3d4e5f6g7h8i9j0", "malware_status": "passed"
| # | package_name | version_code | version_name | release_date | size_bytes | md5_hash |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Developer Stores objects from aptoide.com. All fields typed and schema-versioned.
"store_name": "mark8", "developer_name": "Mark8 Development", "total_apps": 142, "total_downloads": 12500000, "subscribers": 45000, "verification_status": "verified", "top_apps": "['com.game.runner', 'com.tool.cleaner']"
| # | store_name | store_theme | developer_name | total_apps | total_downloads | subscribers |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from aptoide.com. All fields typed and schema-versioned.
"review_id": "rev_8849201", "package_name": "com.whatsapp", "user_name": "android_fan_99", "rating": 5, "review_text": "Works perfectly on my custom ROM.", "date_posted": "2023-11-01", "helpful_votes": 12, "app_version_reviewed": "2.23.21.88"
| # | review_id | package_name | user_name | user_avatar | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Security & Malware Data objects from aptoide.com. All fields typed and schema-versioned.
"package_name": "com.whatsapp", "scan_date": "2023-10-16", "av_engines_passed": 54, "av_engines_failed": 0, "signature_status": "verified", "trusted_badge": true, "permissions_requested": "['CAMERA', 'CONTACTS', 'INTERNET']"
| # | package_name | version_name | scan_date | av_engines_passed | av_engines_failed | signature_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Aptoide scraper handles every layer of the platform: app listings, version histories, security metadata, and developer store profiles. We navigate API rate limits and dynamic rendering automatically.
Title, developer, category, downloads, size, screenshots, and descriptions mapped to package names.
Capture historical APK versions, release dates, and changelogs for regression analysis.
Extract Aptoide Trusted badge status, anti-virus scan results, and signature verification data.
Scrape individual Aptoide store metrics, subscriber counts, and complete developer catalogues.
Identify apps supporting AppCoins billing and track in-app purchase metadata.
Extract full review text, star ratings, and developer replies paginated across app listings.
Monitor top trending apps, editor choices, and category leaders across Aptoide.
Map Aptoide package names against Google Play identifiers for parity checking.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences.
Brief in. Clean data out.
Provide package names, store URLs, or category lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for aptoide.com.
Schema validation, null-rate checks, and version-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Aptoide uses dynamic rendering and API rate limits to block scrapers. Here is how we maintain reliable data extraction.
Aptoide rate limits aggressive IP ranges. We use residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain access without bans.
Many store pages and review sections load via JavaScript. We run Playwright browser sessions to capture data that headless HTTP clients miss.
We intercept Aptoide backend API calls to extract raw JSON metadata directly, bypassing DOM parsing where possible for higher reliability and speed.
Aptoide updates its web interface frequently. Our selector strategy uses fallback chains and API validation so layout changes do not break your data.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing APK links, and coverage drops.
App developers track competitor updates, feature releases, and user sentiment outside the Google Play ecosystem.
Cybersecurity firms monitor third-party app stores for repackaged APKs, malware distribution, and signature spoofing.
Analysts track alternative app store growth, download volumes, and category trends in emerging markets.
Blockchain and fintech analysts monitor the adoption rate of AppCoins billing across Android applications.
Brands audit Aptoide for unofficial, modded, or pirated versions of their proprietary applications.
Growth teams identify high-performing categories and top stores on Aptoide to optimise their alternative distribution channels.
"Aptoide represents a massive, decentralised Android ecosystem. Extracting its metadata reveals global app trends invisible on mainstream stores."
Most teams underestimate the investment required: reliable Aptoide scraping requires residential proxies, dynamic JavaScript rendering, API interception, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our aptoide.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 and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across multiple regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 aptoide.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available app metadata from Aptoide is generally permissible. DataFlirt targets only public, non-authenticated app listings, reviews, and store data. We do not extract personal data or bypass authentication.
We use residential ISP proxies and request timing modelled on human behaviour. Our infrastructure automatically rotates IPs and handles retries when 429 status codes are detected.
Yes. We scrape Aptoide version history pages to capture metadata, release dates, and changelogs for older APK versions.
Our standard pipelines extract the metadata and download URLs. We can configure custom pipelines to download and store actual APK files in your S3 bucket if required.
Real-time streaming pipelines achieve sub-60-minute latency for top apps. Full store refreshes at daily cadence complete within a 6-12 hour window depending on scale.
Absolutely. We provide a sample run of up to 500 apps or 50 store pages as part of the pre-engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off app catalogue dump or a continuous version-monitoring feed across 1M packages, we scope, build, and operate the pipeline. Tell us what you need.
