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Data Scraper Project
Automated web scraping framework for data collection and analysis.
Date
2023-Q4
Category
Tools
Overview
A robust, scalable web scraping framework designed for collecting and processing large volumes of data from multiple sources. The system includes anti-detection measures, distributed scraping capabilities, and automated data cleaning pipelines.
Technologies Used
PythonScrapySeleniumBeautifulSoupRedisPostgreSQLDocker
Key Features
Distributed scraping with task queue
Anti-detection and proxy rotation
JavaScript rendering support
Automated data validation and cleaning
Scheduled scraping jobs
RESTful API for data access
Challenges
Handling dynamic content and anti-scraping measures, ensuring data quality, managing infrastructure costs for large-scale scraping.
Outcome & Impact
Successfully scraped and processed 5M+ data points from 100+ sources with 99.5% uptime.