Python Web Scraping: Data Extraction with Beautiful Soup
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Harness the potential of extracting web data with our detailed course on Web Scraping using Beautiful Soup in Python. In the era where data equates to valuable assets, mastering the art of data extraction can lead to a myriad of possibilities. This course is perfect for those aiming to collect data for research, business analysis, or web content monitoring.
Begin your journey with an introduction to the basics of web scraping. Learn why Python and its robust library, Beautiful Soup, are favorites among developers and data enthusiasts. Immerse yourself in the details of HTML structures, learning to identify and navigate through various HTML tags and mastering CSS selectors to precisely extract the data you need.
Take advantage of the Requests library for easy and effective management of HTTP requests, simplifying the process of web content retrieval. Advance your skills with hands-on experience in Beautiful Soup, covering everything from fundamental parsing to sophisticated data extraction methods.
Practical application is key. Our course offers numerous real-world projects, giving you the chance to apply your skills in different settings, including tracking eBay prices, extracting top hits from Billboard, sourcing movie recommendations from IMDB, and keeping an eye on Bitcoin prices.
Complete this course with the ability to effortlessly scrape web data and turn it into valuable insights. Sign up now and take the first step towards becoming a web scraping expert!
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32By element nameVideo lesson
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33Using find and find_all methodsVideo lesson
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34Using CSS selectors: Element or tag nameVideo lesson
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35Using CSS selectors: ID and Class namesVideo lesson
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36Using CSS selectors: Pseudo class selectorVideo lesson
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37Using CSS selectors: Attribute nameVideo lesson

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