How to download large files with requests in Python

When downloading a file with the requests library, the Response object is first loaded into memory by default, before the data is saved to a local file. If a request is made with the stream flag set, the content in the Response object can be iterated through from an open connection, allowing the data to be read in chunks, which avoids downloading the entire response into memory.

Solution for How to download large files with requests in Python : You can use requests.get() to download a large file Call requests.get(url, stream) to download a file from url and set stream to True to allow iter_content on the Response object to iterate the data while maintaining an open connection. Use Response.iter_content(chunk_size) to load a fixed chunk_size in bytes each time while iter_content is iterated.


how-to-download-large-files-with-requests-in-python