Save a large file using the Python requests library

Save a large file using the Python requests library

When you want to save a large file using the Python requests library, you can stream the content of the response directly to a file to avoid loading the entire content into memory. This is especially important for large files to minimize memory usage. Here's an example of how to do it:

import requests # URL of the large file you want to download url = 'https://example.com/large_file.zip' # Define the local file path where you want to save the downloaded file local_file_path = 'downloaded_large_file.zip' # Send a GET request with streaming enabled response = requests.get(url, stream=True) # Check if the request was successful (status code 200) if response.status_code == 200: with open(local_file_path, 'wb') as file: for chunk in response.iter_content(chunk_size=8192): if chunk: # Filter out keep-alive new chunks file.write(chunk) file.flush() print(f"File '{local_file_path}' has been successfully downloaded.") else: print(f"Failed to download the file. Status code: {response.status_code}")

In this example:

  1. We specify the URL of the large file you want to download and the local file path where you want to save it.

  2. We send a GET request to the URL with streaming enabled by setting stream=True. This allows us to download the file in chunks without loading the entire content into memory.

  3. We check if the request was successful (status code 200) and, if so, open a local file in binary write mode ('wb').

  4. We iterate over the content of the response in chunks (in this case, 8,192 bytes at a time) and write each chunk to the local file. This streaming process ensures that large files can be downloaded efficiently without exhausting memory.

  5. Finally, we close the file and print a success message or an error message if the download fails.

Make sure to replace the url and local_file_path with the appropriate values for your specific use case.

Examples

  1. Query: "How to download a large file using Python requests"

    • Description: To download large files with requests, use stream=True to fetch data in chunks to avoid memory overload. This allows you to save the file to disk efficiently.
    • Code:
      import requests url = "https://example.com/largefile.zip" file_path = "largefile.zip" # Stream download to save memory response = requests.get(url, stream=True) with open(file_path, 'wb') as file: for chunk in response.iter_content(chunk_size=1024): # 1 KB chunks if chunk: file.write(chunk) print("File downloaded and saved:", file_path)

  2. Query: "Best way to download large files with Python requests"

    • Description: The best way to download large files with requests is to use chunked streaming, specify an appropriate chunk size, and handle network interruptions gracefully.
    • Code:
      import requests url = "https://example.com/largefile.zip" file_path = "largefile.zip" # Stream download with custom chunk size and error handling try: response = requests.get(url, stream=True) response.raise_for_status() # Check for HTTP errors with open(file_path, 'wb') as file: for chunk in response.iter_content(chunk_size=4096): # 4 KB chunks if chunk: file.write(chunk) print("File successfully downloaded:", file_path) except requests.RequestException as e: print("Error downloading file:", e)

  3. Query: "Resume downloading a large file with Python requests"

    • Description: To resume downloading a large file after an interruption, you can use HTTP range requests. This allows you to continue downloading from where it left off.
    • Code:
      import requests import os url = "https://example.com/largefile.zip" file_path = "largefile.zip" # Check existing file size to resume download file_size = 0 if os.path.exists(file_path): file_size = os.path.getsize(file_path) headers = {"Range": f"bytes={file_size}-"} # Resume download from the specified byte range response = requests.get(url, headers=headers, stream=True) with open(file_path, 'ab') as file: for chunk in response.iter_content(chunk_size=4096): if chunk: file.write(chunk) print("File download resumed and completed.")

  4. Query: "Download large file with progress bar using Python requests"

    • Description: To monitor the progress of downloading a large file, you can use a progress bar library like tqdm to visualize the download progress.
    • Code:
      import requests from tqdm import tqdm url = "https://example.com/largefile.zip" file_path = "largefile.zip" # Stream download with progress bar response = requests.get(url, stream=True) total_size = int(response.headers.get('content-length', 0)) with open(file_path, 'wb') as file, tqdm( desc=file_path, total=total_size, unit='B', unit_scale=True, unit_divisor=1024, ) as bar: for chunk in response.iter_content(chunk_size=4096): file.write(chunk) bar.update(len(chunk)) print("File downloaded with progress bar.")

  5. Query: "Download large file with retry logic in Python requests"

    • Description: Implement retry logic for large file downloads to handle intermittent network issues. Use libraries like urllib3 for advanced retry handling.
    • Code:
      import requests from requests.adapters import HTTPAdapter from requests.packages.urllib3.util.retry import Retry url = "https://example.com/largefile.zip" file_path = "largefile.zip" session = requests.Session() retry = Retry( total=5, # Number of retries backoff_factor=0.3, # Exponential backoff factor status_forcelist=[500, 502, 503, 504], # Retry on server errors ) adapter = HTTPAdapter(max_retries=retry) session.mount("http://", adapter) session.mount("https://", adapter) # Stream download with retry logic response = session.get(url, stream=True) with open(file_path, 'wb') as file: for chunk in response.iter_content(chunk_size=4096): file.write(chunk) print("File downloaded with retry logic.")

  6. Query: "How to handle errors when downloading large files with Python requests"

    • Description: Properly handle HTTP errors, network interruptions, and other exceptions during file downloads to ensure the code is robust and fault-tolerant.
    • Code:
      import requests url = "https://example.com/largefile.zip" file_path = "largefile.zip" # Error handling during download try: response = requests.get(url, stream=True) response.raise_for_status() # Raise HTTP errors with open(file_path, 'wb') as file: for chunk in response.iter_content(chunk_size=4096): if chunk: file.write(chunk) print("File downloaded successfully.") except requests.RequestException as e: print("Error during file download:", e) except Exception as e: print("An unexpected error occurred:", e)

  7. Query: "Download multiple large files using Python requests"

    • Description: When downloading multiple large files, ensure proper resource management, error handling, and efficient downloading to avoid memory or connection issues.
    • Code:
      import requests import os # List of file URLs to download file_urls = [ "https://example.com/file1.zip", "https://example.com/file2.zip", "https://example.com/file3.zip" ] for i, url in enumerate(file_urls, start=1): file_path = f"file_{i}.zip" # Stream download for each file response = requests.get(url, stream=True) with open(file_path, 'wb') as file: for chunk in response.iter_content(chunk_size=4096): file.write(chunk) print(f"File {i} downloaded successfully.")

  8. Query: "Avoid memory issues when downloading large files with Python requests"

    • Description: To avoid memory issues, use streaming and write data to disk incrementally to prevent large data from being loaded into memory at once.
    • Code:
      import requests url = "https://example.com/largefile.zip" file_path = "largefile.zip" # Stream download to avoid memory issues response = requests.get(url, stream=True) with open(file_path, 'wb') as file: for chunk in response.iter_content(chunk_size=4096): file.write(chunk) print("File downloaded without memory issues.")

  9. Query: "Download large files with specific headers using Python requests"

    • Description: Sometimes, custom headers are required to download large files, such as authentication tokens or user agents. Use requests with custom headers to manage this.
    • Code:
      import requests url = "https://example.com/largefile.zip" file_path = "largefile.zip" headers = { "Authorization": "Bearer YOUR_ACCESS_TOKEN", "User-Agent": "MyDownloadScript/1.0" } response = requests.get(url, headers=headers, stream=True) with open(file_path, 'wb') as file: for chunk in response.iter_content(chunk_size=4096): file.write(chunk) print("File downloaded with custom headers.")

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