Introduction
To ensure your Google Publisher Tag (GPT) scripts function correctly, testing in staging might not always match production results. Requestly lets you load GPT scripts from staging into the production environment, allowing you to test configurations live without altering your production code. This post will show you how to set up Requestly to achieve this.
Why Use Requestly?
Requestly is a browser extension that lets you modify, redirect, and insert scripts into HTTP requests and responses. It helps test and debug configurations by loading GPT scripts from staging into production, ensuring they work correctly before full deployment.
Setting Up GPT Script Loading from Staging to Production with Requestly
1. Install Requestly
Start by installing the Requestly extension from the Chrome Web Store or Requestly’s official website.Â
2. Set Up a Redirect Rule
The Redirect Rule
in Requestly allows you to direct requests from production URLs to their staging counterparts. This feature is particularly useful for loading GPT scripts from staging in a production environment to verify functionality before making them live.
Here’s how to set up a redirect rule for GPT scripts:
- Open Requestly:Â Click on the Requestly icon in your browser.
- Create a New Rule: Click on ‘New Rule’ and choose ‘Redirect Rule.’
- Enter the Production URL Pattern:Â Add the URL pattern for the GPT scripts used in your production environment. This pattern will be used to identify the requests that need to be redirected.
- Specify the Staging URL:Â Enter the staging URL where your GPT scripts are hosted. This URL will be used as the redirect destination.
- Example Production URL:Â
https://example.com/gpt.js
- Example Staging URL:Â
https://staging.example.com/gpt.js
- Example Production URL:Â
- Save the Rule: Click ‘Save’ to create the rule. Ensure the rule is activated by toggling the switch to the ‘On’ position.
Here’s the guide to understanding the Redirect  rule.
Conclusion
Using Requestly to load GPT scripts from staging to production is a smart way to test your ad configurations in a live environment without impacting your production setup. This method allows you to ensure everything works as expected before fully deploying the scripts, reducing the risk of errors and ensuring a seamless user experience.
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