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Using python requests to download files from a webpage

2021.12.20 17:02






















Connect and share knowledge within a single location that is structured and easy to search. I would use urljoin to join the url and you can use just the xpath to get the hrefs, you don't need to call find:.


If you want to make asynchronous you could utilise the grequests lib:. This may be a better question for Code Review. In short, your code is fine.


If anything, you might want to use more lines. Here's my attempt at cleaning it up some I'm not aware of any module that will combine some of these steps.


Your code is relatively readable and I don't see any inefficiencies. In summary, I think the biggest mistake is thinking that using less lines would improve your code at least in this case. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Asked 5 years, 8 months ago.


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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URL of the archive web-page which provides link to. It would have been tiring to. By the same logic, if there is a file we wish to download, we can make a GET request to it, catch the response and then export that response to a local file on our machine… Which is practically downloading the file. Yes, it is that easy.


It returns the file as a Python object. This way, we store it in a variable. The second one is more interesting. It specifies the mode in which we open the file. There are several options in this department. For instance, the most popular ones are:. It automatically calls the close method at the end.


Well, the more eagle-eyed may have noticed that we first received the whole file through the GET request and then we went through its entirety to write it on the hard disk. The main issue with this is that the file is first stored entirely in the RAM before being transferred to the Hard Drive.