How to use JSON in Make.com effectively for workflows

TL;DR

JSON in Make.com stores and exchanges data using objects and arrays, enabling parsing, transforming, and creating JSON to drive automated workflows. The video demonstrates practical tips like using sample data to run scenarios without reloading from sources, and explains why JSON is central to most Make.com data flows.

Transcript

what's going on guys it's Jon o and today we're going to be talking about everything you need to know about Json inm make.com what it is how you can use and why it's going to be beneficial let's dive into it right now so in front of me I have the Json module pulled up in make.com and there's a lot of different things we can do here we can aggregate... Read More

Key Insights

• JSON is a way to store and exchange data that is easy for both humans and computers to read.
• Objects in JSON are defined by curly braces and consist of key value pairs.
• Arrays are lists that can contain strings, numbers, booleans, objects, or other arrays.
• A key value pair uses a consistent key to identify each piece of data across objects.
• Make.com commonly uses JSON to pass data between modules and triggers.
• You can parse JSON from sample data to simulate workflows without reloading real data each time.
• There is a non coding interface to generate JSON by pasting or typing values and then saving the structure.
• Using the download output and Run once on sample data can drastically reduce setup time for workflows

Questions & Answers

Q: A real search query question about the video (e.g. 'How to...', 'What is...', 'Why does...', 'When should...'). Question 1

How can I use sample data to test Make.com workflows without reloading data from external sources? The video shows a simple workaround where you view incoming data with a one button, use the download output for all bundles, and then feed that sample data into a Parse JSON module. This allows you to run the workflow on sample data repeatedly without pulling new data each time, saving hours of setup.

Q: Question 2

What is JSON and why is it central to Make.com workflows? JSON is a way to store and exchange data that is easy for humans and computers to read. In Make.com, data is often passed as JSON objects and arrays, with key value pairs identifying each piece of information, enabling structured data flows across modules.

Q: Question 3

What are the basic data types mentioned for JSON in the video, and how are they used? The video mentions strings, numbers, booleans, and null as basic JSON data types. These types are used inside objects and arrays to model real world data, such as names, ages, and indicators like isStudent, allowing complex nested structures.

Q: Question 4

How do you create JSON in Make.com without coding? The video shows a non coding interface where you can paste existing JSON, generate a data structure, and then map fields like full name, age, and hobbies. This enables building and reusing JSON templates quickly for automation scenarios.

Q: Question 5

What is the role of objects and arrays in JSON for Make.com workflows? Objects group related data as key value pairs, while arrays provide lists of items such as multiple customers or hobbies. This combination lets you model complex data sets that can be iterated over in workflows.

Q: Question 6

How does the video suggest handling repeated testing or development cycles in Make.com? It suggests using the Run once feature with sample data to load the data set into the Parse JSON module, so subsequent runs reuse the same data without re pulling from the source, thereby speeding up development.

Q: Question 7

What practical tips are given for viewing and exporting data during JSON work in Make.com? The video points to using a one button to view incoming data, then using the download output for all bundles to capture the data, which can be pasted into a Parse JSON module for testing without external data calls.

Q: Question 8

Why is understanding JSON structure important in Make.com according to the video? Understanding that JSON can contain nested objects and arrays helps you design workflows that can handle complex data structures, enabling more powerful transformations, aggregations, and integrations within Make.com.

Summary & Key Takeaways

• The video explains that JSON is a way to store and exchange data and is readable by both humans and machines. It covers objects, key value pairs, arrays, and data types, including strings, numbers, booleans, and null. The explanation uses a landscaping business example to illustrate objects and arrays.

• A practical hack shown is to use the one button to view incoming data and the download output for all bundles to load sample data into a Parse JSON module, saving time by avoiding repeated data pulls from external sources.

• The video then demonstrates creating JSON in Make.com, either by pasting existing JSON or generating it in a non coding interface, and shows how to map fields like name, age, and hobbies to build structured JSON outputs.