I’m stuck trying to use the Gmail API for a data science project. I’m working in Jupyter Notebook with Python in VS Code. When I run the quickstart script, I keep getting a redirect_uri_mismatch error.
Here’s what happens:
- I run the script
- It gives me a new URI
- I add the URI to OAuth 2.0 settings
- The error still appears
I’ve tried this many times, but no luck. I’m not sure what to put for the redirect URI since I’m not running an actual app. I just want to fetch email data and work with it.
Has anyone faced this issue before? Any tips on how to fix it? I’m really eager to start analyzing my Gmail data. Thanks for any help!
# Example of what I'm trying to do
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
creds = Credentials.from_authorized_user_file('token.json', ['https://www.googleapis.com/auth/gmail.readonly'])
service = build('gmail', 'v1', credentials=creds)
# This is where I get stuck
messages = service.users().messages().list(userId='me').execute()
hey there! i’ve dealt with this before. try using ‘http://localhost:8080’ as ur redirect URI in the Google Cloud Console. Also, make sure ur using the latest version of the google-auth-oauthlib library. It handles the OAuth flow better for local setups. Good luck with ur project!
I’ve been there, and it can be frustrating. One thing that worked for me was using ‘urn:ietf:wg:oauth:2.0:oob’ as the redirect URI. This is specifically for non-web applications like scripts or command-line tools.
In your Google Cloud Console, add this URI to your OAuth client settings. Then, modify your code to use the InstalledAppFlow class:
from google_auth_oauthlib.flow import InstalledAppFlow
flow = InstalledAppFlow.from_client_secrets_file(
'client_secret.json',
scopes=['https://www.googleapis.com/auth/gmail.readonly']
)
creds = flow.run_local_server(port=0)
service = build('gmail', 'v1', credentials=creds)
messages = service.users().messages().list(userId='me').execute()
This approach should bypass the redirect issues you’re facing. It’ll open a browser window for authentication, then you can close it and return to your script. Hope this helps with your data science project!
I’ve encountered this issue before when working with the Gmail API. The redirect URI mismatch error can be tricky, especially when you’re not running a full-fledged web application. Here’s what worked for me:
For local development, set your redirect URI to ‘http://localhost:8080/’ in the Google Cloud Console. Then, modify your code to use the google_auth_oauthlib.flow module for authentication. This handles the OAuth flow more smoothly for local environments.
from google_auth_oauthlib.flow import Flow
from googleapiclient.discovery import build
flow = Flow.from_client_secrets_file(
'client_secret.json',
scopes=['https://www.googleapis.com/auth/gmail.readonly']
)
flow.run_local_server(port=8080)
credentials = flow.credentials
service = build('gmail', 'v1', credentials=credentials)
messages = service.users().messages().list(userId='me').execute()
This approach should resolve the redirect URI mismatch and allow you to proceed with your data analysis. Remember to install the google-auth-oauthlib package if you haven’t already.