Oodles AI builds reliable Python web scraping solutions using Beautiful Soup to extract, parse, and structure web data from static and semi-dynamic websites with precision.
Beautiful Soup is a Python library designed for parsing HTML and XML documents. It creates a structured parse tree from web page source code, allowing developers to navigate, search, and extract data efficiently.
At Oodles AI, Beautiful Soup is used alongside HTTP request handling and data processing libraries to build maintainable, production-ready web scraping pipelines.
Our team develops efficient Beautiful Soup scrapers that focus on accuracy, maintainability, and clean data extraction.
Extract data using tags, attributes, and CSS selectors.
Gracefully handle missing elements and broken HTML.
Suitable for batch scraping and scheduled jobs.
Clean datasets ready for analytics and reporting.
A practical, step-by-step process used in our Beautiful Soup scraping projects.
Send HTTP Request
Using Python Requests
Parse HTML
Create BeautifulSoup object
Extract Elements
find(), find_all(), select()
Clean Data
Normalize and validate fields
Store Output
CSV, JSON, or Database