J7tracker Scraper — a service for collecting and processing cryp

Project Description:
J7tracker Scraper is a Python backend service for collecting, processing, and preparing data on crypto and meme tokens from the j7tracker.com platform.
The project is focused on real-time performance, scalability, and stable operation in production.

Key Features:
- Real-time event monitoring
Continuous collection of token and event data from J7tracker with minimal latency.

- Duplicate filtering
A separate API service for removing duplicates.

- Data storage
Uses MongoDB for document-oriented storage of events and history.

- Integration with backend services
Preparation and sending of data to the backend via secure channels.

- Docker-oriented architecture
Full support for Docker and Docker Compose:

- Runs with local MongoDB
- Fast deployment and scaling
- Flexible configuration
- Use of .env variables to configure the environment and services.

Technology stack:
- Python 3.11
- MongoDB
- Docker / Docker Compose
- Redis Streams
- Asynchronous data processing
- Backend architecture designed for high-load performance
- The project is suitable for use in analytics systems, crypto market monitoring, trading dashboards, and token activity tracking services.


#Python
#CryptoScraper
#BlockchainData
#CryptoAnalytics
#RealTimeMonitoring
#WebScraping
#MongoDB
#Docker
#BackendDevelopment
#AsyncPython
#DataPipeline
#EventProcessing
#CryptoTools
#TradingInfrastructure
#HighLoadSystems
#Web3Development
#DataEngineering
#AutomationTools