Web Scraping With Python by Anas Khan

Web Scraping With Python by Anas KhanWeb Scraping With Python by Anas Khan

Web Scraping With Python

Anas Khan

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About this service

Summary

I specialize in crafting custom web scraping solutions that extract meaningful data from any source, whether static or dynamic. Leveraging tools like Selenium, Scrapy, and Pandas, I ensure your data is accurate, clean, and ready for analysis. What sets me apart is my ability to handle complex scraping challenges while delivering organized, actionable datasets that align perfectly with your needs.

What's included

Custom Data Scraping and Delivery Pipeline
Build a robust web scraping solution to extract structured data from specified websites using Scrapy and BeautifulSoup4 (bs4). The pipeline will handle pagination, dynamic content, and data cleaning. I will ensure the scraped data is delivered in the requested format (CSV, JSON, or database) and automate the process for periodic scraping with job schedulers.
Dynamic Website Scraping with Selenium
Implement dynamic web scraping using Selenium for websites that rely heavily on JavaScript or have CAPTCHA-based security. The solution will handle complex interactions like form submissions, scroll events, or AJAX-loaded content. I will also integrate proxy rotation and user-agent spoofing to ensure uninterrupted data extraction while respecting ethical scraping practices.
Scalable Web Scraping Infrastructure
Develop a scalable web scraping system with Scrapy deployed on cloud platforms (e.g., AWS or GCP). The system will support parallel scraping of multiple websites and efficiently handle rate limits using proxies and delay mechanisms. Data will be stored in a central repository, such as a relational database or a cloud storage solution, for real-time access and analysis.

Example projects