Python for Web Scraping and Data Extraction
The Python for Web Scraping and Data Extraction course is a 2-day hands-on program designed for professionals who need to collect business-critical information from public websites efficiently and responsibly.
Participants will learn how web scraping works, how to inspect webpage structures using HTML and CSS selectors, and how to extract structured data using Python, Requests, and BeautifulSoup. The course also covers pagination handling, navigation across multi-page results, and exporting data into Excel or CSV formats. For modern websites, learners are introduced to Selenium for targeted dynamic content extraction. Emphasis is placed on data cleaning with pandas, reusable script design, automation basics, and ethical scraping practices. By the end of the course, participants will complete a guided project that demonstrates end-to-end web data extraction for real business reporting needs.
Many essential business insights exist only on public websites and are not available through internal systems or purchased datasets. Web scraping unlocks this information at scale. Instead of relying on manual research or outdated reports, organizations can automate online data collection.
This programme teaches participants how to extract structured information from websites to support data-driven workflows and reporting needs. Learners will use Python to automate the retrieval of product details, pricing information, business listings, news, and other public web data. The focus is on practical, responsible scraping techniques using standard libraries and HTML parsing methods. AI-assisted learning accelerates development, improves code accuracy, and strengthens participants’ ability to troubleshoot scraping challenges independently.