Project Challenges
RPA is a Python-powered, end-to-end, automated, web-based data pipeline project capable of gathering and mining data from web-based scrapers, cleaning it according to an accepted structure, uploading it to the database, and then applying business logic to make necessary changes.
Project Solution
Real-time Dashboard and Reporting
Built web data scrapers for all types of websites (300+)
Data Enrichment and Transformation according to the data structure and requirements
Data uploading system for validation, comparison, and insertion
Web-based Data Pipeline Flow monitoring and status updates with error handling
Multiple instances (micro-services) for process management and control
Email integration for process compilation updates
Tor and VPN-based scrapers for advanced scraping control (speed and blocking issues)
Process job scheduling, file operation servers, logs, and reports, among other features
User Access Control and rule-based Security Measures
Technical Information
- Web Server : Windows Server IIS and Docker
- Database : MS SQL Server 2014+ , MYSQL
- Programming languagess : .NET core 5 ,C#, Python 3.10
- Client Side Technologies : React Js , HTML, CSS3, SCSS, Bootstrap, Java Script, flask 2.2.3
- Version Control : Git , SVN
- Architecture : Distributed and repository pattern
- Other Tools : TOR, VPN, Container
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