Free Data Dumps from AppGoblin. AppGoblin is a resource for free android and ios app intelligence. AppGoblin has the biggest free dashboard to browse mobile apps and the SDKs they use for advertising, product analytics and other open source libraries. AppGoblin also has live advertising information for which apps are currently advertising.

Due to 100mb limits, files are compressed and do not contain 'all' the data. If you don't see data you're looking for, feel free to ask.

This repo includes these files in /data:

• live_store_apps.tsv.xz: Apps that are currently live on the Google Play and Apple App Store. This TSV includes names and categories.
• store_apps.tsv.xz: All Appgoblin's known 4m+ Android and iOS app store ids. Many of which are no longer live on the app stores.
• store_apps_metrics.tsv.xz (limited): Live apps with metrics such as installs, rating, and review count from AppGoblin.

A fuller store_apps list, fuller metrics export, and descriptions dataset are available for free at https://appgoblin.info/free-app-datasets.

Apps-per-company data is available on AppGoblin in the B2B datasets.

• store: The app store (e.g., "google" for Google Play Store)
• store_id: Unique identifier/package name for the app
• app_name: Display name of the app
• app_category: Category of the app (e.g., tools, video_players)

• developer_id: Unique identifier for the developer
• developer_name: Name of the developer/company

• review_count: Number of written reviews
• rating_count: Total number of ratings
• installs: Number of installations

• free: Boolean indicating if the app is free
• price: Price of the app (0 for free apps)
• minimum_android: Required Android version
• ad_supported: Boolean indicating if app contains ads
• in_app_purchases: Boolean indicating if app has IAPs
• editors_choice: Boolean indicating if selected as editor's choice

• store_last_updated: When the app was last updated in the store
• release_date: Initial release date
• appgoblin_created_at: When the app was first added to AppGoblin
• appgoblin_updated_at: When the app was last updated in AppGoblin
• last_crawl_result: Status of the most recent data crawl

• store_id: Unique identifier/package name for the app
• app_category: Category of the app (e.g., game_action, tools)
• company_domain: Primary web domain of the company
• company_name: Name of the company
• parent_company_name: Parent company or holding company name
• tag_source: Source of the company data (app_ads_direct, app_ads_reseller, or sdk)

The data comes from three tag_sources:

• app_ads_direct: Direct advertising relationships
• app_ads_reseller: Indirect advertising through resellers
• sdk: Software Development Kits integrated in the app

The export pipeline supports monthly, versioned CSV archives for:

• descriptions
• store-apps-metrics

Each monthly file is generated as:

• YYYY_MM_01_<dataset>.tsv.xz

Examples:

• 2026_03_01_descriptions.tsv.xz
• 2026_03_01_store-apps-metrics.tsv.xz

Files are uploaded to:

• downloads/<dataset>/year=YYYY/month=MM/YYYY_MM_01_<dataset>.tsv.xz

Run both datasets for the current month:

python -m agdata.upload_to_object_storage monthly

Run both datasets for a specific month:

python -m agdata.upload_to_object_storage monthly --year 2026 --month 3

Run one dataset only:

python -m agdata.upload_to_object_storage monthly --year 2026 --month 3 --datasets descriptions
python -m agdata.upload_to_object_storage monthly --year 2026 --month 3 --datasets store-apps-metrics

Overwrite existing objects (if needed):

python -m agdata.upload_to_object_storage monthly --year 2026 --month 3 --force

Example crontab entry to run at 03:20 UTC on the first day of each month:

20 3 1 * * cd /home/james/appgoblin-data && /usr/bin/python3 -m agdata.upload_to_object_storage monthly >> /home/james/.config/appgoblin/logs/monthly_exports.log 2>&1

Notes:

• Exports use chunked database reads and chunked CSV writes to avoid high memory usage.
• Uploads are idempotent by default (existing monthly object keys are skipped).
• Public bucket ACL changes are not required (bucket-level public access is assumed).