What is Splinter web scraping?

Web scraping refers to the process of extracting data from websites using automated techniques. Splinter is a tool that can be used for web scraping by automating interactions with a web browser and extracting data from web pages.

To use Splinter for web scraping, you will need to install it using a package manager such as pip and then import it into your Python code. You can then create a "browser" object using Splinter and use it to control the web browser and interact with web pages. For example, you might use the visit method to navigate to a specific URL, the find_by_css method to locate specific elements on the page, and the text method to extract the text from those elements.

Once you have located and extracted the data you are interested in, you can save it to a file or database for further analysis or processing.

Overall, Splinter is a useful tool for web scraping because it allows you to automate interactions with a web browser and extract data from web pages in a programmatic way. It can be used to extract a wide range of data from websites, including text, images, and other types of content.

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