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

Question

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 there must be a profile name "[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.

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.

I also had the same issue,it can be solved by creating a config and credential file in the home directory. Below show the steps I did to solve this issue.

Create a config file :

touch ~/.aws/config

And in that file I entered the region

[default]
region = us-west-2

Then create the credential file:

touch ~/.aws/credentials

Then enter your credentials

[Profile1]
aws_access_key_id = XXXXXXXXXXXXXXXXXXXX 
aws_secret_access_key = YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

After set all these, then my python file to connect bucket. Run this file will list all the contents.

import boto3
import os

os.environ['AWS_PROFILE'] = "Profile1"
os.environ['AWS_DEFAULT_REGION'] = "us-west-2"

s3 = boto3.client('s3', region_name='us-west-2')
print("[INFO:] Connecting to cloud")

# Retrieves all regions/endpoints that work with S3

response = s3.list_buckets()
print('Regions:', response)

You can also refer below links:

• Amazon S3 with Python Boto3 Library
• Boto 3 documentation
• Boto3: Amazon S3 as Python Object Store

Create an S3 client object with your credentials

AWS_S3_CREDS = {
    "aws_access_key_id":"your access key", # os.getenv("AWS_ACCESS_KEY")
    "aws_secret_access_key":"your aws secret key" # os.getenv("AWS_SECRET_KEY")
}
s3_client = boto3.client('s3',**AWS_S3_CREDS)

It is always good to get credentials from os environment

To set Environment variables run the following commands in terminal

if linux or mac

$ export AWS_ACCESS_KEY="aws_access_key"
$ export AWS_SECRET_KEY="aws_secret_key"

if windows

c:System\> set AWS_ACCESS_KEY="aws_access_key"
c:System\> set AWS_SECRET_KEY="aws_secret_key"