Python: Amazon S3 cannot get the bucket: says 403 Forbidden

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I have a bucket for my organization in Amazon S3 which looks like mydev.orgname

  • I have a Java application that can connect to Amazon S3 with the credentials and can connect to S3, create, read files

  • I have a requirement where a application reads the data from Python from same bucket. So I am using boto for this.

I do the following in oder to get the bucket

>>> import boto
>>> from boto.s3.connection import S3Connection
>>> from boto.s3.key import Key
>>> conn = S3Connection('xxxxxxxxxxx', 'yyyyyyyyyyyyyyyyyyyyyy')
>>> conn

Now when I try to get bucket I see error

>>> b = conn.get_bucket('mydev.myorg')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Library/Python/2.7/site-packages/boto/s3/", line 389, in get_bucket
    bucket.get_all_keys(headers, maxkeys=0)
  File "/Library/Python/2.7/site-packages/boto/s3/", line 367, in get_all_keys
    '', headers, **params)
  File "/Library/Python/2.7/site-packages/boto/s3/", line 334, in _get_all
    response.status, response.reason, body)
boto.exception.S3ResponseError: S3ResponseError: 403 Forbidden
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>AccessDenied</Code><Message>Access Denied</Message><RequestId>EEC05E43AF3E00F3</RequestId><HostId>v7HHmhJaLLQJZYkZ7sL4nqvJDS9yfrhfKQCgh4i8Tx+QsxKaub50OPiYrh3JjQbJ</HostId></Error>

But from the Java application everything seems to work.

Am I doing anything wrong here?

Giving the user a "stronger role" is not the correct solution. This is simply a problem with boto library usage. Clearly, you don't need extra permissions when using Java S3 library.

Correct way to use boto in this case is:

b = conn.get_bucket('my-bucket', validate=False)
k = b.get_key('my/cool/object.txt') # will send HEAD request to S3

Basically, boto by default (which is a mistake on their part IMHO), assumes you want to interact with S3 bucket. Granted, sometimes you do want that, but then you should use credentials that have permissions for S3 bucket operations. But a more popular use case is to interact with S3 objects, and in this case you don't need any special bucket-level permissions, hence the use of validate=False kwarg.

Troubleshoot 403 Access Denied Errors from Amazon S3, How can I troubleshoot this error? Permissions for bucket and object owners across AWS accounts; Issues in bucket policy or AWS Identity and This means that IAM user doesn't have permissions to the correct objects. NET on AWS � Python on AWS � Java on AWS � PHP on AWS � Javascript on AWS� To troubleshoot the HTTP 403 Forbidden error from the Amazon S3 console, check the following: Missing permissions to s3:PutObject or s3:PutObjectAcl. Missing permissions to use an AWS Key Management Service (AWS KMS) key. Bucket access control list (ACL) doesn't allow the AWS account root user to write objects.

Python: Amazon S3 cannot get the bucket: says 403 Forbidden , Giving the user a "stronger role" is not the correct solution. This is simply a problem with boto library usage. Clearly, you don't need extra� Python: Amazon S3 cannot get the bucket: says 403 Forbidden However, it seems I may be having a different problem (e.g., clock skew is not an issue and I already tried setting validate=False , and I believe I have the correct key and secret key because trying a bogus key or secret key gives me different errors).

After giving my "User" much stronger role, this error was gone. Means User given the permission to get_bucket

Fix the error HTTP 403: Access Denied from Amazon S3, In the Alice account, there is one S3 bucket called alicebucket, this… First of all , we need to find the s3 objects with the potential 403 problem and write it in a text file. keys with potential problems and you can fix with a second python script. A button that says 'Get it on, Google Play', and if clicked� By default, boto will attempt to validate the bucket when you call get_bucket by performing a HEAD request on the bucket. You may not have permission to do this even though you may have permission to retrieve objects from the bucket. Try this to disable the validation step: bucket = conn.get_bucket(bucket_name, validate=False)

Read files from Amazon S3 bucket using Python
import boto3
import csv

# get a handle on s3
session = boto3.Session(

s3 = session.resource('s3')

# get a handle on the bucket that holds your file
bucket = s3.Bucket('bucket name') # example: energy_market_procesing

# get a handle on the object you want (i.e. your file)
obj = bucket.Object(key='file to read') # example: market/zone1/data.csv

# get the object
response = obj.get()

# read the contents of the file
lines = response['Body'].read()

# saving the file data in a new file test.csv
with open('test.csv', 'wb') as file:

Error Responses, Lists and describes the Amazon S3 error responses and associated HTTP To see the differences applicable to the China Regions, see Getting Started with AWS Please contact AWS Support for further assistance, see Contact Us . 403 Forbidden Buckets in one geographic location cannot log information to a bucket in� This is true even when the bucket is owned by another account. If other accounts can upload objects to your bucket, then check which account owns the objects that your users can't access: 1. Run this AWS Command Line Interface (AWS CLI) command to get the Amazon S3 canonical ID for your account:

get_bucket leads to 403 Forbidden while s3cmd ls works, Resolve Access Denied Errors From a CloudFront Aws. region = region. Python: Amazon S3 cannot get the bucket: says 403 Forbidden 然而,似乎我可能遇到了� The bucket policy must allow access to s3:GetObject. If the bucket policy grants public access, then the AWS account that owns the bucket must also own the object. The requested objects must exist in the bucket. Amazon S3 block public access must be disabled. If Requester Pays is enabled, then the request must include the request-payer parameter.

S3 Access Denied 403, Correct (when trying from Mac with several aws-cli versions): Bob@Bob:~/ Downloads � aws s3 cp s3://my-bucket/my-not-existing-key /tmp A client error ( 404) occurred root@ip-10-4-5-103:~# aws --version aws-cli/1.9.14 Python/2.7. 6 You'll get a 403 whenever you don't have access to the bucket, so I'd� I'm using Python and tinys3 to write files to S3, but it's not working. 403 Client Error: Forbidden print 'Uploading %s to Amazon S3 bucket %s' % \ (filename

aws s3 cp raises error 403 instead of 404 when key does not exist , If you don't have DeleteBucketPolicy permissions, Amazon S3 returns a 403 Access HTTP Status Code: 403 Forbidden; SOAP Fault Code Prefix: Client Buckets in one geographic location cannot log information to a bucket in another location. Say you ask for 50 keys, your result will include less than equals 50 keys. get_bucket leads to 403 Forbidden while s3cmd ls works Showing 1-3 of 3 messages

  • This is not an answer. It is a comment. It should have be an edit to the question or a comment on the question.
  • @LegoStormtroopr, you really should be more careful before leaving these kinds of comments on an answer... daydreamer is the question author.
  • @BrunoBronosky, you should also be careful leaving these comments. Question authors are entirely allowed to provide answers to their own questions.
  • @daydreamer, in future, please leave more useful answers to your questions, or instead simply add a summary edit to your question to highlight your solution... this would stop over keen users from mistakenly leaving these kinds of comments on your answers.
  • 3 years and this answer still has 0 votes. I'm going to stand by this being a comment not an answer. More specifically an answer would say what permissions were changed rather than "much stronger role". But then it would still be the wrong solution (for cases where you can control the code). The highest voted answer is the right solution (given the same caveats) because it works around the unexpected behavior in boto.