As usually, we start with installing all the necessary packages and modules. After that, we need to look through the PDFs from the target website and finally we need to create an info function using the pypdf2 module to extract all the information from the PDF. The complete code looks like this:. To extract the whole raw text and parse URLs by using regular expressions. After running the code, you will get the output with links:.
First, we need to get the text version of our PDF file: The next step is to parse the URLs from the text by running the following module. The output will be the following:. Construct the full file path from the "a" tag's href attribute. Download the file at that location.
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It would have been tiring to download each video manually. In this example, we first crawl the webpage to extract all the links and then download videos. This is a browser-independent method and much faster!
One can simply scrape a web page to get all the file URLs on a webpage and hence, download all files in a single command- Implementing Web Scraping in Python with BeautifulSoup This blog is contributed by Nikhil Kumar.
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