Boto3 Error: botocore.exceptions.NoCredentialsError: Unable to locate credentials

try specifying keys manually

    s3 = boto3.resource('s3',
         aws_access_key_id=ACCESS_ID,
         aws_secret_access_key= ACCESS_KEY)

Make sure you don't include your ACCESS_ID and ACCESS_KEY in the code directly for security concerns. Consider using environment configs and injecting them in the code as suggested by @Tiger_Mike.

For Prod environments consider using rotating access keys: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html#Using_RotateAccessKey

I had the same issue and found out that the format of my ~/.aws/credentials file was wrong.

It worked with a file containing:

[default]
aws_access_key_id=XXXXXXXXXXXXXX
aws_secret_access_key=YYYYYYYYYYYYYYYYYYYYYYYYYYY

Note that the profile name must be "[default]". Some official documentation make reference to a profile named "[credentials]", which did not work for me.

If you are looking for an alternative way, try adding your credentials using AmazonCLI

from the terminal type:-

aws configure

then fill in your keys and region.

TheWalkingData

Make sure your ~/.aws/credentials file in Unix looks like this:

[MyProfile1]
aws_access_key_id = yourAccessId
aws_secret_access_key = yourSecretKey

[MyProfile2]
aws_access_key_id = yourAccessId
aws_secret_access_key = yourSecretKey

Your Python script should look like this, and it'll work:

from __future__ import print_function
import boto3
import os

os.environ['AWS_PROFILE'] = "MyProfile1"
os.environ['AWS_DEFAULT_REGION'] = "us-east-1"

ec2 = boto3.client('ec2')

# Retrieves all regions/endpoints that work with EC2
response = ec2.describe_regions()
print('Regions:', response['Regions'])

Source: https://boto3.readthedocs.io/en/latest/guide/configuration.html#interactive-configuration.

These instructions are for windows machine with a single user profile for AWS. Make sure your ~/.aws/credentials file looks like this

[profile_name]
aws_access_key_id = yourAccessId
aws_secret_access_key = yourSecretKey

I had to set the AWS_DEFAULT_PROFILEenvironment variable to profile_name found in your credentials.
Then my python was able to connect. eg from here

import boto3

# Let's use Amazon S3
s3 = boto3.resource('s3')

# Print out bucket names
for bucket in s3.buckets.all():
    print(bucket.name)

I work for a large corporation and encountered this same error, but needed a different work around. My issue was related to proxy settings. I had my proxy set up so I needed to set my no_proxy to whitelist AWS before I was able to get everything to work. You can set it in your bash script as well if you don't want to muddy up your Python code with os settings.

Python:

import os
os.environ["NO_PROXY"] = "s3.amazonaws.com"

Bash:

no_proxy = "s3.amazonaws.com"

The boto3 is looking for the credentials in the folder like

C:\ProgramData\Anaconda3\envs\tensorflow\Lib\site-packages\botocore\.aws

You should save two files in this folder credentials and config.

You may want to check out the general order in which boto3 searches for credentials in this link. Look under the Configuring Credentials sub heading.

If you're sure you configure your aws correctly, just make sure the user of the project can read from ./aws or just run your project as a root

If you have multiple aws profiles in ~/.aws/credentials like...

[Profile 1]
aws_access_key_id = *******************
aws_secret_access_key = ******************************************
[Profile 2]
aws_access_key_id = *******************
aws_secret_access_key = ******************************************

Follow two steps:

  1. Make one you want to use as a default using export AWS_DEFAULT_PROFILE=Profile 1 command in terminal.

  2. Make sure to run above command in the same terminal from where you use boto3 or you open an editor.[Understand the following scenario]

Scenario:

  • If you have two terminal open called t1 and t2.
  • And you run the export command in t1 and you open JupyterLab or any other from t2, you will get NoCredentialsError: Unable to locate credentials error.

Solution:

  • Run the export command in t1 and then open JupyterLab or any other from the same terminal t1.

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