Web Scraping in Python

Starting at USD 39.00
4 hours duration

Learn to retrieve and parse information from the internet using the Python library scrapy.

The ability to develop tools for retrieving and analyzing data from the internet is highly valuable in various aspects of data science. This course focuses on teaching you the skills to effectively navigate and parse HTML code, as well as construct automated website crawling tools. While we primarily utilize the versatile Python library scrapy for web scraping, the techniques you acquire in this course can also be applied to other popular Python libraries such as BeautifulSoup and Selenium. By the end of this course, you will have a comprehensive understanding of the structure of HTML and the ability to construct tools for parsing HTML code and extracting desired information. Additionally, you will be proficient in creating scrapy spiders to efficiently crawl the web on a large scale. Overall, this course equips you with the knowledge and skills necessary to build robust tools for web scraping and data retrieval, enhancing your capabilities in the field of data science.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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