Download file boto3

I'm using boto3 to get files from s3 bucket. I need a similar functionality like aws s3 sync. This is working fine, as long as the bucket has only files. If a folder is present inside the bucket, its throwing an error. This solution first compiles a list of objects then iteratively creates the specified directories and downloads the existing objects.

To maintain the appearance of directories, path names are stored as part of the object Key filename. For example:. You could either truncate the filename to only save the.

Note that it could be multi-level nested directories. Although, it does the job, I'm not sure its good to do this way. I'm leaving it here to help other users and further answers, with better manner of achieving this. Better late than never: The previous answer with paginator is really good.

However it is recursive, and you might end up hitting Python's recursion limits. Here's an alternate approach, with a couple of extra checks. This should work for all number of objects also when there are more than Each paginator page can contain up to objects. Notice extra param in os. In Amazon S3, buckets and objects are the primary resources, and objects are stored in buckets.

Amazon S3 has a flat structure instead of a hierarchy like you would see in a file system. However, for the sake of organizational simplicity, the Amazon S3 console supports the folder concept as a means of grouping objects. Amazon S3 does this by using a shared name prefix for objects that is, objects have names that begin with a common string. Object names are also referred to as key names. For example, you can create a folder on the console named photos and store an object named myphoto.

To download all files from "mybucket" into the current directory respecting the bucket's emulated directory structure creating the folders from the bucket if they don't already exist locally :. A lot of the solutions here get pretty complicated. If you're looking for something simpler, cloudpathlib wraps things in a nice way for this use case that will download directories or files.

For now you can leave the rest of the options default for example for me the following settings were default at the time of this writing:. Once you verify that go ahead and create your first bucket. For me this looks something like this:. Now that we have our bucket created we need to proceed further into setting up a way to interact with it programmatically. Those are necessary for the platform to know you are authorized to perform actions in a programmatic way rather than logging in the web interface and accessing the features via the console.

So our next task is to find where and how those keys are configured and what is needed to set them up on our local computer to start talking to Amazon AWS S3. First we need to talk about how to add an AWS user. If you do not have a user setup with AWS S3 full permissions then I will walk you through on how to get this done in a simple step by step guide.

In the next steps you can use the defaults except the part that is asking you to set the permissions. In this tab you want to expand below and type in the search S3. Once you do that a bunch of permissions will be loaded for you to select from, for now you can simply select the Full permissions for S3 as shown in the screenshot below.

You can skip the tags and proceed to add the user, the final screen summary should look like this. The final confirmation screen should show you the access key and the secret key. You want to save those for your reference as we would be using them in our code later. This screen looks something like this:. Do note I redacted my access and secret key from the screenshot for obvious reasons but you should have them if everything worked successfully. Now that we have an access and secret key and our environment setup we can start writing some code.

Before we jump into writing code that downloads uploads and lists files from our AWS bucket we need to write a simple wrapper that will be re-used across our applications that does some boiler plate code for the boto3 library. One thing to understand here is that AWS uses sessions. Mar 31, Mar 30, Mar 29, Mar 26, Mar 25, Mar 24, Mar 23, Mar 22, Mar 19, Mar 18, Mar 17, Mar 16, Mar 15, Mar 12, Mar 11, Mar 10, Mar 9, Mar 8, Mar 5, Mar 4, Mar 3, Mar 2, Mar 1, Feb 26, Feb 25, Feb 24, Feb 23, Feb 22, Feb 19, Feb 18, Feb 17, Feb 16, Feb 15, Feb 12, Feb 11, Feb 9, Feb 8, Feb 5, Feb 4, Feb 3, Feb 2, Jan 29, Jan 28, Jan 27, Jan 26, Jan 22, Jan 21, Jan 19, Jan 15, Jan 14, Jan 13, Jan 12, Jan 11, Jan 7, Jan 6, Jan 5, Jan 4, Dec 31, Dec 30, Dec 29, Dec 28, Dec 23, Dec 22, Dec 21, Dec 18, Dec 17, Dec 16, Dec 15, Dec 14, Dec 11, Dec 10, Dec 9, Dec 8, Dec 7, Dec 4, Dec 3, Dec 2, Dec 1, The file is left in an non-deterministic state.

This line ensures you start reading it back from the beginning just spent some time figuring this out myself! RobertKing do you mind elaborating on this point? Why add f. Pipe api, 'my-files' pipe. Miguel Conde Miguel Conde 6 6 silver badges 22 22 bronze badges. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Would like to just download it to the Download folder. Please take a look at the original post. Updated with code snippet. Also got IndexError: list index out of range as well.

Please check the updated answer for download path and IndexError. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password.

Post as a guest Name.