Summary  
This chapter explains how to set up a custom webhook endpoint that continuously listens for incoming HTTP requests, automatically infers the data structure, and captures query parameters to trigger subsequent automated processes.

General domain of usage  
Event-driven workflow automation

Start a new scenario, add a module, search for **Webhooks**, and select **Custom webhook**. Create a new webhook with a simple name and save it, no advanced settings are needed. Make generates a unique webhook URL and waits for an incoming request to determine the data structure. Copy the URL, open it in a browser, and you should see **Accepted**, confirming the webhook received a sample. To simulate real data, add query parameters such as `name`, `email`, and `message` to the URL, which mimics how an external app sends structured information.


### What You Can Do Next

Once data is captured, you can:

* send emails;
* create or update CRM records;
* log data to spreadsheets;
* trigger follow-ups;
* pass input to AI modules.

Webhooks are ideal when speed and event-based automation matter.

Why does Make require an initial request when creating a Custom webhook?

Learn how to build powerful, real-world automation systems using Make.com and AI. Start with the fundamentals of scenario building and flow control, then master data handling, functions, APIs, and webhooks. Move into advanced workflows that combine RSS feeds, AI agents, and multimedia processing to create intelligent content pipelines. Finish by assembling a complete automation system, managing AI outputs, and exploring expansion ideas for scaling your workflows.

Learn the core foundations of Make.com automation, including platform basics, scenario building, AI-assisted workflow creation, integrations, and multi-path data routing logic.

Learn how Make stores and processes data, master built-in functions, work with arrays, and apply logic helpers to transform and control information inside your workflows.

Explore how APIs and webhooks work in Make, including sending requests, receiving data, and building real-time automation scenarios.

Learn how to combine RSS feeds with AI agents in Make to collect, process, and transform content into fully automated, intelligent workflows.

Explore how to design multimedia automation workflows, assemble a complete AI-driven content system, manage generated outputs, and plan future expansion paths.

Scenarios with Webhooks

What You Can Do Next