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Step by Step Guide to Building a Bing Ads API Integration in Python

Aug 8, 20246 minute read

Introduction

Hey there, fellow developer! Ready to dive into the world of Bing Ads API? You're in for a treat. This guide will walk you through creating a robust integration that'll have you managing campaigns, crunching data, and optimizing ads like a pro. Let's get cracking!

Prerequisites

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

  • A Python environment (3.6+ recommended)
  • Bing Ads API credentials (if you don't have these, head over to the Microsoft Advertising developer portal)
  • The bingads library installed (pip install bingads)

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

Authentication

First things first, we need to get you authenticated. Bing Ads uses OAuth 2.0, so let's set that up:

from bingads.authorization import AuthorizationData, OAuthWebAuthCodeGrant client_id = 'YOUR_CLIENT_ID' client_secret = 'YOUR_CLIENT_SECRET' developer_token = 'YOUR_DEVELOPER_TOKEN' refresh_token = 'YOUR_REFRESH_TOKEN' authorization = AuthorizationData( account_id=None, customer_id=None, developer_token=developer_token, authentication=OAuthWebAuthCodeGrant( client_id=client_id, client_secret=client_secret, refresh_token=refresh_token ) )

Pro tip: Keep your credentials safe and out of version control!

Basic API Setup

Now that we're authenticated, let's set up our API client:

from bingads.service_client import ServiceClient from bingads.v13.bulk import BulkServiceManager client = ServiceClient( service='CampaignManagementService', version=13, authorization_data=authorization, ) bulk_service = BulkServiceManager( authorization_data=authorization, poll_interval_in_milliseconds=5000, environment='production', )

Core Functionality

Campaigns Management

Let's create a campaign:

from bingads.v13.bulk.entities import BulkCampaign from bingads.v13.bulk.entities.target_criterion import * campaign = BulkCampaign() campaign.campaign.Name = "My Awesome Campaign" campaign.campaign.BudgetType = 'DailyBudgetStandard' campaign.campaign.DailyBudget = 50 campaign.campaign.TimeZone = 'PacificTimeUSCanadaTijuana' output_status_message(bulk_service.upload_entities([campaign]))

Retrieving campaign data is just as easy:

campaigns = bulk_service.download_entities( 'Campaigns', download_entities=['Campaigns'], download_file_type='Csv' ) for campaign in campaigns: print(f"Campaign Name: {campaign.campaign.Name}")

Ad Groups and Ads Management

The process for managing ad groups and ads follows a similar pattern. Here's a quick example for creating an ad group:

from bingads.v13.bulk.entities import BulkAdGroup ad_group = BulkAdGroup() ad_group.campaign_id = campaign_id ad_group.ad_group.Name = "My Cool Ad Group" ad_group.ad_group.StartDate = datetime.date(2023, 6, 1) ad_group.ad_group.EndDate = datetime.date(2023, 12, 31) output_status_message(bulk_service.upload_entities([ad_group]))

Reporting

Want to get some juicy data? Let's generate a report:

from bingads.v13.reporting import ReportingServiceManager, ReportingDownloadParameters reporting_service_manager = ReportingServiceManager(authorization_data=authorization) report_request = reporting_service_manager.factory.create('CampaignPerformanceReportRequest') report_request.Format = 'Csv' report_request.ReportName = 'My Performance Report' report_request.ReturnOnlyCompleteData = False report_request.Aggregation = 'Daily' report_time = reporting_service_manager.factory.create('ReportTime') report_time.ReportTimeZone = 'PacificTimeUSCanadaTijuana' report_time.CustomDateRangeStart = reporting_service_manager.factory.create('Date') report_time.CustomDateRangeStart.Day = 1 report_time.CustomDateRangeStart.Month = 1 report_time.CustomDateRangeStart.Year = 2023 report_request.Time = report_time result = reporting_service_manager.download_report(report_request)

Error Handling and Best Practices

Always wrap your API calls in try-except blocks to handle potential errors gracefully:

try: # Your API call here except bingads.exceptions.BingAdsException as ex: print(f"Oops! Something went wrong: {ex}")

And remember, respect those rate limits! Nobody likes a spammer.

Advanced Features

Want to level up? Check out bulk operations for handling large datasets efficiently, or dive into automated bidding strategies to optimize your campaigns.

Testing and Debugging

Unit tests are your friends. Write them, love them, use them. And when things go sideways (they will), the Bing Ads API has some great debugging tools. Don't be afraid to use them!

Conclusion

And there you have it! You're now equipped to build a killer Bing Ads API integration. Remember, practice makes perfect, so don't be discouraged if you hit a few bumps along the way. Keep at it, and soon you'll be a Bing Ads API wizard!

For more in-depth info, check out the official Bing Ads API documentation. Now go forth and conquer those ad campaigns!