Hey there, fellow developer! Ready to dive into the world of Google Campaign Manager API integration? You're in for a treat. This powerful API lets you programmatically manage your digital advertising campaigns, and we're going to walk through building an integration in Python. Buckle up!
Before we jump in, make sure you've got these basics covered:
google-auth
and google-auth-oauthlib
libraries installedGot all that? Great! Let's move on to the fun stuff.
First things first, we need to get authenticated. Google uses OAuth 2.0, so we'll set that up:
from google_auth_oauthlib.flow import Flow flow = Flow.from_client_secrets_file( 'path/to/client_secrets.json', scopes=['https://www.googleapis.com/auth/dfatrafficking'] ) # Follow the prompts to authorize your application flow.run_local_server(port=8080) credentials = flow.credentials
Pro tip: Store these credentials securely. You don't want them floating around in your code!
Now that we're authenticated, let's set up our API client:
from googleapiclient.discovery import build service = build('dfareporting', 'v4', credentials=credentials)
Easy peasy, right? We're now ready to start making API calls!
Let's dive into some core functionality. Here's how you can retrieve campaign data:
def get_campaigns(profile_id): request = service.campaigns().list(profileId=profile_id) return request.execute() campaigns = get_campaigns('YOUR_PROFILE_ID')
Creating a campaign is just as straightforward:
def create_campaign(profile_id, campaign_data): request = service.campaigns().insert(profileId=profile_id, body=campaign_data) return request.execute() new_campaign = create_campaign('YOUR_PROFILE_ID', { 'name': 'Awesome New Campaign', 'startDate': '2023-06-01', 'endDate': '2023-12-31' })
Remember, the API has rate limits. Be a good citizen and implement retry logic:
from googleapiclient.errors import HttpError import time def api_call_with_retry(func, max_retries=5): for attempt in range(max_retries): try: return func() except HttpError as e: if e.resp.status in [429, 500, 503]: time.sleep(2 ** attempt) else: raise raise Exception("Max retries exceeded")
Want to speed things up? Try batch requests:
from googleapiclient.http import BatchHttpRequest def callback(request_id, response, exception): if exception is not None: print(f"Error: {exception}") else: print(f"Success: {response}") batch = service.new_batch_http_request(callback=callback) batch.add(service.campaigns().get(profileId='YOUR_PROFILE_ID', id='CAMPAIGN_ID')) batch.add(service.reports().run(profileId='YOUR_PROFILE_ID', reportId='REPORT_ID')) batch.execute()
Don't forget to test your integration! Here's a simple unit test example:
import unittest from unittest.mock import patch class TestCampaignManager(unittest.TestCase): @patch('your_module.service.campaigns') def test_get_campaigns(self, mock_campaigns): mock_campaigns.return_value.list.return_value.execute.return_value = {'campaigns': []} result = get_campaigns('TEST_PROFILE_ID') self.assertEqual(result, {'campaigns': []})
When deploying, keep your credentials safe! Use environment variables or a secure secret management system. And don't forget to implement proper logging and monitoring to keep tabs on your API usage.
And there you have it! You're now equipped to build a robust Google Campaign Manager API integration in Python. Remember, the API documentation is your best friend for diving deeper into specific features.
Happy coding, and may your campaigns be ever successful!