Bucket Python !link! - Download All Files From S3

The most straightforward way to download a bucket is to iterate through its objects and recreate the directory structure locally.

Standard list_objects_v2 calls only return up to . If your bucket is large, you must use a Paginator . This ensures your script doesn't stop prematurely and covers every single file in the bucket. 📁 Downloading a Specific Prefix (Folder) download all files from s3 bucket python

Before downloading, check obj['Size'] to avoid accidentally pulling multi-terabyte files. The most straightforward way to download a bucket

import boto3 import os def download_s3_bucket(bucket_name, local_directory): s3 = boto3.client('s3') # Create local directory if it doesn't exist if not os.path.exists(local_directory): os.makedirs(local_directory) # Use a paginator for buckets with thousands of files paginator = s3.get_paginator('list_objects_v2') for page in paginator.paginate(Bucket=bucket_name): if 'Contents' in page: for obj in page['Contents']: file_path = obj['Key'] # Create nested local folders if necessary local_file_path = os.path.join(local_directory, file_path) local_dir = os.path.dirname(local_file_path) if not os.path.exists(local_dir): os.makedirs(local_dir) # Download the file print(f"Downloading: {file_path}") s3.download_file(bucket_name, file_path, local_file_path) # Usage download_s3_bucket('your-bucket-name', './my-downloads') Use code with caution. 🚀 Key Optimization: Using Paginators This ensures your script doesn't stop prematurely and

If you only need a specific "folder" within the bucket, add the Prefix parameter to your list call: paginator.paginate(Bucket=bucket_name, Prefix='logs/2023/') Use code with caution. ⚡ Speeding it Up with Multi-threading

Wrap download_file in a try-except block to catch ClientError (e.g., 403 Forbidden).