Max_size = 1024 ** 2 * option.get('max_size', -1) # MB, default will ignore. T_IO = TypeVar('T_IO', StringIO, BytesIO)ĭef download_and_keep_on_memory(url: URL, headers=None, timeout=None, **option) -> T_IO:Ĭhunk_size = option.get('chunk_size', 4096) # default 4KB Points import requestsįor chunk in er_content(chunk_size=4096):īasically, is like to Kumar An Example import requests Then you can try the below method to help you keep download data on memory. When I spider some websites and that have those images so I can use the model to recognize it,Īnd I don't want to save those pictures on my disk drive, I.e., download the data and keep it on memory.įor example, If I use the machine learning method, train a model that can recognize an image with the number (bar code). Sometimes, we are want to get the picture but not need to download it to real files, # Or do anything shown above using `uncompressed` instead of `response`. With gzip.GzipFile(fileobj=response) as uncompressed:įile_header = uncompressed.read(64) # a `bytes` object # Read the first 64 bytes of the file inside the. gz (and maybe other formats) compressed data on the fly, but such an operation probably requires the HTTP server to support random access to the file. But this works well only for small files.

If this seems too complicated, you may want to go simpler and store the whole download in a bytes object and then write it to a file. With (url) as response, open(file_name, 'wb') as out_file: So the most correct way to do this would be to use the function to return a file-like object that represents an HTTP response and copy it to a real file using pyfileobj. '/tmp/tmpb48zma.txt') in the `file_name` variable:įile_name, headers = (url)īut keep in mind that urlretrieve is considered legacy and might become deprecated (not sure why, though). # Download the file from `url`, save it in a temporary directory and get the # Download the file from `url` and save it locally under `file_name`: The easiest way to download and save a file is to use the function: import urllib.request Text = code('utf-8') # a `str` this step can't be used if data is binary If you want to obtain the contents of a web page into a variable, just read the response of : import urllib.requestĭata = response.read() # a `bytes` object

Python download files