Google Ads Automation Scripts Guide: Save Hours With These Proven Scripts
Learn how to use Google Ads scripts to automate repetitive tasks. Covers bid management, budget alerts, reporting, Quality Score monitoring, and more with ready-to-use examples.
Google Ads Scripts are custom JavaScript programs that run inside your Google Ads account, automating tasks that would take hours to do manually. They can read and modify campaigns, keywords, ads, and bids — and they can send emails, create spreadsheets, and call external APIs. For advertisers managing accounts with any significant complexity, scripts are the difference between reactive management and proactive optimization.
You do not need to be a developer to use scripts. Most useful scripts are 20-50 lines of code, and the Google Ads scripting documentation is excellent. This guide covers the most valuable automation scripts, explains how they work, and gives you the knowledge to implement them in your accounts.
Getting Started With Google Ads Scripts
Access Scripts from Tools > Bulk Actions > Scripts in your Google Ads account. You can create, test, and schedule scripts directly in the browser-based editor. Scripts run on Google's servers, so they do not require any local installation.
Key concepts
- Scripts use JavaScript syntax with Google Ads-specific APIs (AdsApp namespace)
- Every script has a main() function that serves as the entry point
- Scripts can be scheduled to run hourly, daily, weekly, or monthly
- There is a 30-minute execution limit for regular scripts (manager account scripts get 60 minutes)
- Scripts can read data from and write data to Google Sheets, making them useful for reporting
- Preview mode lets you test a script without making actual changes to your account
Script 1: Budget Pacing Alert
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Audit my account freeDaniel BenítezFounder of AdPredictor
Daniel Benítez ran paid media and demand generation at Product School, Hispasec and Fivestars before building AdPredictor. He started it because of what he kept seeing in real accounts every week: plenty of data and no clear decision. He writes about what can be checked inside an account, not about theory.
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