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check if a key exists in a bucket in s3 using boto3

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What is the key in S3 bucket?

The object key (or key name) uniquely identifies the object in an Amazon S3 bucket. Object metadata is a set of name-value pairs. For more information about object metadata, see Working with object metadata. When you create an object, you specify the key name, which uniquely identifies the object in the bucket.

What is boto3 key?

In your code example - key is the object reference to the unique identifier within a bucket.

What is S3 boto3 resource (' S3 ')?

Amazon Simple Storage Service (Amazon S3) is object storage commonly used for data analytics applications, machine learning, websites, and many more. To start programmatically working with Amazon S3, you must install the AWS Software Development Kit (SDK).


Boto 2's boto.s3.key.Key object used to have an exists method that checked if the key existed on S3 by doing a HEAD request and looking at the the result, but it seems that that no longer exists. You have to do it yourself:

import boto3
import botocore

s3 = boto3.resource('s3')

try:
    s3.Object('my-bucket', 'dootdoot.jpg').load()
except botocore.exceptions.ClientError as e:
    if e.response['Error']['Code'] == "404":
        # The object does not exist.
        ...
    else:
        # Something else has gone wrong.
        raise
else:
    # The object does exist.
    ...

load() does a HEAD request for a single key, which is fast, even if the object in question is large or you have many objects in your bucket.

Of course, you might be checking if the object exists because you're planning on using it. If that is the case, you can just forget about the load() and do a get() or download_file() directly, then handle the error case there.


The easiest way I found (and probably the most efficient) is this:

import boto3
from botocore.errorfactory import ClientError

s3 = boto3.client('s3')
try:
    s3.head_object(Bucket='bucket_name', Key='file_path')
except ClientError:
    # Not found
    pass

I'm not a big fan of using exceptions for control flow. This is an alternative approach that works in boto3:

import boto3

s3 = boto3.resource('s3')
bucket = s3.Bucket('my-bucket')
key = 'dootdoot.jpg'
objs = list(bucket.objects.filter(Prefix=key))
if any([w.key == path_s3 for w in objs]):
    print("Exists!")
else:
    print("Doesn't exist")

In Boto3, if you're checking for either a folder (prefix) or a file using list_objects. You can use the existence of 'Contents' in the response dict as a check for whether the object exists. It's another way to avoid the try/except catches as @EvilPuppetMaster suggests

import boto3
client = boto3.client('s3')
results = client.list_objects(Bucket='my-bucket', Prefix='dootdoot.jpg')
return 'Contents' in results