Advanced Web Scraping Tutorial with Python Beautiful Soup Library

Dive into advanced web scraping techniques with Python and the Beautiful Soup library in this comprehensive tutorial video. Learn to extract data from complex websites like Walmart by understanding HTML structure, handling dynamic content, and implementing headers to avoid detection. Master parsing JSON data, using proxies to bypass IP blocking, and automating searches for multiple products. Explore error handling, retries, and Selenium for page automation. Gain practical skills for efficient web scraping, including avoiding duplicates and using queues. Perfect for those looking to enhance their data collection capabilities for freelance work or personal projects.

- Intro & Overview
- Identifying HTML Structure for Scraping from Walmart
- Writing Python BeautifulSoup Code to Extract Info from Walmart.com
- Implementing modified request headers to avoid detection
- Handling Dynamic Content
- Implementing Modified Request Headers to Avoid Detection look more human when scraping
- Parsing Complicated JSON Data Using LLMs to help
- Extending our Code to Collect Info on Many Products Automating Search
- Improving our Code avoiding duplicates, multiple search terms, using a queue, etc.
- Setting Up Proxies with Bright Data Get around IP Address blocks
- Error Handling and Retries
- Automating actions on pages with Selenium
- Conclusion & Next Steps