PUT Request in Automation

Introduction to PUT Requests in Automation

If you work with automation tools, you might have heard about PUT requests. They are a key part of how apps update data on servers. Understanding PUT requests helps you build smarter workflows and keep your data accurate.

In this article, you will learn what a PUT request is, how it differs from other requests, and how to use it in popular no-code automation platforms. This knowledge will empower you to create efficient, reliable automations.

What is a PUT Request?

A PUT request is a type of HTTP method used to update or replace data on a server. When you send a PUT request, you tell the server to replace the current resource with the data you provide.

Unlike POST requests, which usually create new data, PUT requests focus on updating existing data. If the resource does not exist, some servers create it, but this depends on the API.

• Idempotent: Sending the same PUT request multiple times results in the same state.
• Complete replacement: The data you send replaces the existing resource.
• Used for updates: Commonly used to update user profiles, settings, or records.

How PUT Requests Work in Automation Tools

Automation platforms like Make, Zapier, and Integromat let you send PUT requests without coding. You just configure the request URL, headers, and body data.

Here’s how it usually works:

• Set the URL: This points to the resource you want to update.
• Choose PUT method: Select PUT as the HTTP method.
• Add headers: Include content-type like application/json.
• Provide body data: The new data to replace the existing resource.

For example, in Make, you use the HTTP module, select PUT, and fill in the details. In Zapier, the Webhooks by Zapier app lets you do the same.

Common Use Cases for PUT Requests in Automation

PUT requests are useful when you want to keep your data updated automatically. Here are some examples:

• Updating user profiles: Change user info in a CRM when a form is submitted.
• Syncing inventory: Update product stock levels in an e-commerce platform.
• Changing settings: Modify configuration data in SaaS apps.
• Replacing records: Overwrite database entries with new data.

These use cases help businesses save time and reduce errors by automating updates.

PUT vs POST: Understanding the Difference

It’s easy to confuse PUT and POST requests. Both send data to servers but serve different purposes.

• POST: Creates new resources or triggers actions. Not idempotent.
• PUT: Updates or replaces existing resources. Idempotent.

For example, submitting a new order uses POST, while updating the order status uses PUT. Knowing when to use each ensures your automation works correctly.

How to Implement PUT Requests in Popular No-Code Platforms

Let’s look at how to set up PUT requests in some popular no-code tools:

• Make (Integromat): Use the HTTP module, select PUT, enter the API endpoint, add headers, and provide JSON data in the body.
• Zapier: Use Webhooks by Zapier, choose PUT, fill in the URL, headers, and JSON body.
• Bubble: Use the API Connector plugin, set method to PUT, configure the endpoint and parameters.
• FlutterFlow: Integrate REST API calls with PUT method for updating backend data.

These platforms simplify the process, letting you focus on your workflow logic.

Best Practices for Using PUT Requests in Automation

To get the most from PUT requests, follow these tips:

• Validate data: Ensure your data is complete and correct before sending.
• Use idempotency: Design workflows so repeated PUT requests don’t cause issues.
• Handle errors: Check responses and add error handling steps.
• Secure requests: Use authentication like API keys or OAuth.
• Test thoroughly: Try your PUT requests in a sandbox before going live.

These practices help maintain data integrity and smooth automation.

Conclusion

PUT requests are a powerful tool in automation for updating data reliably. They let you replace existing information on servers, keeping your apps in sync.

By understanding how PUT works and using no-code platforms like Make or Zapier, you can build efficient workflows that save time and reduce errors. Remember to follow best practices for security and error handling to get the best results.