Data Scraping
Multi-Platform Data Scraping System
Automated web scraping with data processing pipeline
Client:Multiple Clients
Completed:9/10/2024
Project Overview
Advanced web scraping system capable of extracting data from multiple platforms simultaneously. The system features anti-detection measures, intelligent rate limiting, and comprehensive data validation to ensure reliable data collection.
The platform includes automated scheduling, data cleaning pipelines, duplicate detection, and export capabilities to various formats. Built to handle JavaScript-heavy sites, dynamic content, and complex authentication flows while maintaining ethical scraping practices.
Challenges
- Bypassing anti-bot detection systems and CAPTCHAs
- Handling dynamic content loaded via JavaScript
- Managing IP rotation and rate limiting across platforms
- Processing and cleaning large volumes of scraped data
- Maintaining scraping ethics and respecting robots.txt
Solutions
- Implemented rotating proxy pools and browser fingerprint randomization
- Used Selenium with headless browsers for JavaScript-heavy sites
- Built intelligent rate limiting with exponential backoff
- Created automated data validation and cleaning pipelines
- Added comprehensive logging and monitoring for compliance
Results & Impact
Successfully scraped 50+ different platforms
Collected over 1 million data points with 99.5% accuracy
90% reduction in manual data collection time
Zero legal issues through ethical scraping practices
Automated reporting saved 40+ hours per week
Client Testimonial
"John's scraping system revolutionized our market research capabilities. The data quality and automation level exceeded all expectations."
Lisa Chen
Research Director
Technologies Used
Python
Scrapy
BeautifulSoup
Selenium
PostgreSQL
Redis
Celery
Docker
Proxy Rotation