Web scraping in Python Part 3 Building a dataset
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Course Description
Web scraping with python,
in this course we will learn about extracting data from websites using Python, covering both the fundamentals and advanced techniques of web scraping. You'll explore key libraries like Requests for making HTTP requests, BeautifulSoup for parsing HTML, and Selenium for interacting with dynamic web pages. The course will teach you how to identify web elements, navigate the DOM, extract specific data, and store the results in formats like CSV, Excel, or databases. You'll also learn how to handle pagination, login sessions, and JavaScript-loaded content. In addition, we’ll discuss ethical scraping practices and how to respect websites’ terms of service and robots.txt rules. By the end of this course, you’ll be able to build robust web scrapers for real-world projects, automate data collection tasks, and turn unstructured web content into usable datasets for analysis or application development. No prior experience required. Data School
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