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Step by Step Guide to Building a Google Campaign Manager API Integration in Python

Aug 3, 20245 minute read

Introduction

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!

Prerequisites

Before we jump in, make sure you've got these basics covered:

  • A Python environment (3.7+ recommended)
  • google-auth and google-auth-oauthlib libraries installed
  • A Google Cloud project with Campaign Manager API enabled
  • API credentials (OAuth 2.0 client ID)

Got all that? Great! Let's move on to the fun stuff.

Authentication

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!

Basic API Setup

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!

Core Functionality

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' })

Error Handling and Best Practices

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")

Advanced Features

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()

Testing and Validation

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': []})

Deployment Considerations

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.

Conclusion

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!