I am currently managing a large project where I need to move several hundred assets from a Google Cloud Storage bucket to my local machine. Downloading them one by one through the Cloud Console UI is taking forever and is prone to freezing. Is there a command-line utility or a Python script method that supports batch downloads, and how do I ensure that I maintain the existing folder structure during the transfer process without manually creating every sub-directory?
3 answers
For downloading multiple files or entire directories while preserving the folder hierarchy, the gsutil tool is the industry standard. Specifically, you should use the -m (multithreading) flag to speed up the process by performing parallel downloads. The command would look like gsutil -m cp -r gs://your-bucket-name/source-folder ./local-destination. This recursively copies every file and sub-folder from the bucket to your current directory. It is significantly faster than the browser-based UI because it utilizes your full network bandwidth by opening multiple connections simultaneously. If you are dealing with millions of small files, this is the only way to do it without the process timing out or crashing.
Brenda’s recommendation for gsutil is solid, but have you considered if using the newer gcloud storage cp command might be even faster given the performance optimizations Google has implemented in the latest SDK releases?
If you prefer a programmatic approach, you can use the Python Client Library. You simply list the blobs in the bucket and loop through them to download each one to a local file path.
I agree with Mary. Using a Python script is best if you need to filter files by metadata or specific naming patterns before downloading, as it gives you much more granular control than the standard CLI commands.
Christopher, you are absolutely right to bring that up. The new gcloud storage surface is written in a way that handles high-throughput transfers much better than the older gsutil wrapper. It automatically manages threading and chunking without needing the -m flag in many cases. For anyone running the latest Google Cloud SDK, switching to gcloud storage cp -r is definitely the way to go for maximum efficiency, especially when moving terabytes of data across regions.