Discover the new If-else and Merge feature, designed for efficient, logical routing in workflows.

Use repeaters, iterators, and array aggregators to control how your scenario processes multiple items and bundles

Learn workarounds to converge multiple scenario routes into a single flow and avoid module duplication

Explore built-in tools to create variables, delay flows, aggregate data, and transform values in your scenarios

Extract and transform text using patterns and regular expressions to parse data from any source

If-else and Merge

Flow control

Converger

Tools

Text parser

Build complex scenarios with the help of these advanced tools

Allow connections to and from Make IP addresses

A safety feature that saves unfinished scenario runs when errors occur, preventing data loss. Stored in the Incomplete Executions tab, you can retry automatically, resolve manually, or delete them. Disabled by default, enable it in Scenario settings.

Incomplete_executions

incomplete_executions

Error handlers act as a safety net that catches unexpected failures to prevent your scenarios from failing. They allow you to define exactly how the system should react, such as by retrying the task, ignoring the mistake, or rolling back changes.

error_handler

The Rollback error handler stops a scenario and reverts changes made by modules that support transactions to ensure data remains consistent when an error occurs.

Rollback

An automated workflow within the Make platform. You build it by connecting modules together, and it runs based on a trigger you set up.

scenario

a list or sequence of characters (like letters, numbers, and symbols) used to represent text in a computer programming.

string

An operation is a single module run to process data or check for new data. 

Operations

Credits (formerly operations) are the currency for running scenarios.

Credits

A route is a path that data can flow through in a scenario, visualized as the dotted lines between modules.

Route

scenario_plural_lowercase

scenario_singular_lowercase

Scenario_plural

Scenario_singular

product_name

Help Center

What is Make?

What's an API?

Learn the basics

Step 1. Plan your scenario

Step 2. Get your apps ready

Step 3. Add your first app

Step 4. Create a connection

Step 5. Set up the trigger

Step 6. Test the module

Step 7. Add another module

Step 8. Map data

Step 9. Test your scenario

Step 10. Schedule your scenario

Create your first scenario

Step 1. Get your app ready

Step 2. Add a router

Step 3. Set up another module

Step 4. Add a filter

Step 5. Test your scenario

Step 6. Add an aggregator

Step 7. Test the final scenario

Expand your scenario

Get started

Credits & operations

Connect an application

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Introduction to Make apps

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Select the first bundle to process

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Working with files

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Aggregator

Iterator

Router

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Scenario settings

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Subscenarios

Create and manage scenario templates

Custom scenario properties

Variables

Incomplete executions

Scenario execution, cycles, and phases

Restore a previous scenario version

Scenario run replay

Scenarios

Call Google APIs with OAuth 2.0 HTTP request

Connect to any web service using OAuth 2.0

Connect to Google services using a custom OAuth client

Replace connections across multiple modules

Credential requests

Dynamic connections

On-premise agent

Devices

Keys and certificates

Connections

Use functions

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Math functions

Math variables

Text and binary functions

Date and time functions

Tokens for date/time parsing

Tokens for date/time formatting

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AES (Advanced Encryption Standard)

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Securing data with Make

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Make DevTool

Developers

Explore more

Introduction to Make AI Agents (New)

Create your first AI agent

Sales outreach AI agent use case

Create AI agents for different triggers

Knowledge

Make AI Agents (New) app

Make AI Agents (New) best practices

Make AI Agents (New)

Introduction to AI agents

Manage AI agents

Module tools for AI agents

Scenarios for AI agents

MCP tools for AI agents

Tools for AI agents

AI agent best practices

AI Agents configuration

Make AI Agents app

Step 1. Set up the AI agent

Step 2. Create the AI agent's tools

Step 3. Create a scenario to send tasks to the AI agent

AI agent use case

Make AI Agents

Introduction to MCP

Get started with Make MCP server

Make MCP server

Connect to Claude Desktop

Connect to ChatGPT

Connect to Cursor

Connect to OpenAI

Connect to OpenAI API

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Model Context Protocol

Introduction to Make Grid

Access Make Grid

Explore Make Grid GUI

How to use Make Grid

Tutorial: How to replace a dependency

Best practices to use Make Grid

Make Grid

Introduction to errors and warnings

Overview of error handling

Fix rate limit errors

Fix connection errors

Fix missing data errors

Fix general errors

How to handle errors

Quick error handling reference

Break error handler

Commit error handler

Ignore error handler

Resume error handler

Rollback error handler

Error handlers

Types of errors

Types of warnings

Exponential backoff

Throw

Error handling

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