Web Scraper.
An automated data scraping system from various web sources (including Google Maps), used for data research and business information aggregation.
Last updated: 2 years ago

Web Scraper is an automated scraping system designed to collect and process data from various web sources, including Google Maps and other publicly accessible platforms.
The project is primarily used for business data aggregation, market research, lead generation, and large-scale information collection.
Built using Node.js, Puppeteer, and Python, the scraper is capable of handling dynamic websites, browser automation, and structured data extraction efficiently.
The system is optimized for scalability, automation, and high-volume data processing workflows.
Features
- Automated web scraping
- Google Maps business data extraction
- Browser automation with Puppeteer
- Dynamic content scraping support
- Keyword-based data collection
- Business information aggregation
- Export scraped data to JSON/CSV
- Pagination & infinite scroll handling
- Headless browser support
- Proxy & user-agent support
- Data filtering & processing
- Batch scraping workflow
- Automated scraping scripts
- Lightweight and scalable architecture
License
MIT License © 2023 FannyDevz