ManualTrigger Automate
ManualTrigger Automate enables users to manually initiate a streamlined workflow that performs a series of API requests. It retrieves user data, creates a new user with specified attributes, and updates that user's job title, all in a simple, efficient process. This automation enhances productivity by reducing repetitive tasks and ensuring accurate data management.
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Workflow Overview
ManualTrigger Automate enables users to manually initiate a streamlined workflow that performs a series of API requests. It retrieves user data, creates a new user with specified attributes, and updates that user's job title, all in a simple, efficient process. This automation enhances productivity by reducing repetitive tasks and ensuring accurate data management.
- Developers looking to automate API interactions without extensive coding.
- Project Managers who need to quickly test API endpoints during development.
- QA Engineers wanting to verify API responses and behavior through automated requests.
- Technical Writers needing to document API processes with live examples.
- Students learning about API integrations and automation tools.
- This workflow addresses the need for a manual trigger to initiate a sequence of HTTP requests to interact with an API.
- It simplifies the process of creating, reading, and updating user data on an API, allowing users to test and verify responses effectively.
- The automated steps reduce the chances of human error during API testing and integration.
- Step 1: The workflow begins with a manual trigger initiated by the user clicking 'execute'.
- Step 2: An HTTP GET request is sent to
https://reqres.in/api/usersto fetch user data. This step retrieves existing user information. - Step 3: Following the GET request, an HTTP POST request is made to the same API endpoint to create a new user with the name 'Neo' and job title 'Programmer'.
- Step 4: Finally, a PATCH request is sent to update the job title of the user with ID 2 to 'The Chosen One', demonstrating how to modify existing user data.