AppGoblin Analytics Dashboard for Mobile App Ecosystem

You can see a production version of the site at AppGoblin

This is the code I use to create AppGoblin for tracking app store ranks and SDKs of mobile companies like ad networks and mobile attribution companies. The goal was simply to have a good source of data for Apps on the Google Play and iOS stores. The code is provided here incase it helps anyone. As this is a project for general fun and learning, please don't hesitate to reach out if you have any questions or suggestions, Discord below.

Features

• Companies Directory: Rankings based on SDK integration frequency
  • Filter by category
    • Example: Most popular Ad Networks for Casino Games
    • Example: Most popular Product analytics for Business Apps
• Company Intelligence: See the top client apps for mobile app companies
  • Example: Salesforce Clients
  • Example: AppsFlyer Top Apps
• App Rankings: Daily tracking of top apps from Google Play and Apple App Store.
• SDK Analysis: Detailed list of decompiled Android and iOS Apps and their internally used SDKs. See what tracking SDKs are used in which apps.

Project Structure

1. Python Litestar backend API found in backend/
2. Javascript SvelteKit+Tailwind UI found in frontend/

Data & Database

The database referred to in this repository is created by adscrawler, a crawler for scraping the Google & Apple play stores and storing that to a PostgreSQL database. That repo also contains a number of materialized views prepping data for the dashboard. It generally would be difficult to recreate it as it's only ever been managed by me the original creator, but I'm open to sharing data if you have something you need.

API Service

litestar run --debug to start API. Once run, api documentation can be found at api/docs

Setup

• Current setup is based on Python3.12
• pip install dependencies, found in pyproject.toml: pip install

Running

• To run locally for testing use
  • Backend: in backend/ run gunicorn -k uvicorn.workers.UvicornWorker app:app or litestar run dev
  • Frontend: in frontend run npm run dev
• This repo includes the scripts used to run in production as well. These are located in the steps in .github/actions as well as scripts for systemd services for frontend and backend.
• Additionally, you will need a proxy. I used Nginx. This is wherever you have your nginx configuration set, possibly sites-available /etc/nginx/sites-available/app-store-api or /etc/nginx/conf.d/app-store-api.conf

AppGoblin Community

Have questions or suggestions? Let's connect!

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