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Chapters:
0:00 – Overview
0:14 – Bundles Explained
1:25 – Individual Data Items, Collections, and Arrays
2:41 – Understanding Arrays in Detail
4:19 – Collections vs. Arrays vs. Bundles
4:36 – Iterators and Aggregators
6:19 – Array Aggregators and Functions
7:44 – Using array functions
9:24 – JSON structures

In this video, I dive into the essential data structures within make.com: bundles, collections, and arrays. Understanding these concepts is crucial for building more sophisticated automation scenarios.

I begin by explaining what a bundle is in the context of make.com and how it processes individual records. Then, I differentiate between individual data items, collections (groupings of fields), and arrays (ordered lists of items) using practical examples from an email parsing scenario. I further explore arrays, demonstrating how to access specific items using their index.

Next, I clarify the relationship and differences between bundles, collections, and arrays, highlighting that bundles are a make.com-specific concept related to scenario execution. Then, I introduce iterators and aggregators, explaining how they handle arrays and bundles for more complex data processing, including examples of iterating through email attachments and aggregating order prices. I also show how array aggregators can combine bundles into a single array for efficient processing and demonstrate useful array functions like map and join.

Finally, I touch upon the underlying JSON format that make.com uses to represent these data structures and how understanding this can be beneficial when interacting with external APIs.