Make.com Iterators & Aggregators: The Definitive Guide 🧰

Ever felt lost in a Make.com scenario, drowning in bundles and arrays? This guide is your life raft! We’ll break down these powerful tools so you can automate like a pro and build scenarios that actually make you money. 💰

Why This Matters 🤔

Imagine effortlessly handling huge datasets, automating complex tasks, and saving tons of time (and those precious Make.com operations!). That’s the power of understanding iterators and aggregators.

Inputs & Outputs: The Building Blocks 🧱

Every Make.com module is like a mini-factory:

Inputs: The raw materials you feed in (settings, data, etc.).
Outputs: The finished product the module spits out.

💡 Pro Tip: Always check a module’s inputs and outputs (those little white circles) to understand what’s going on!

Bundles: The Workhorses 🐎

A bundle is a single execution of your scenario.
Multiple bundles mean your scenario runs multiple times.
Example: Fetching 5 rows from a Google Sheet creates 5 bundles, running the rest of your scenario 5 times.

Arrays: The Data Organizers 🗄️

Arrays are numbered lists of data (like a spreadsheet column).
They DON’T trigger multiple scenario runs.
You access data within an array using array indexing (e.g., array[1] gets the second item).

Iterators: From Array to Bundles 🔄

Iterators are like taking a neatly organized stack of papers (array) and handing out one sheet at a time (bundles).

Use them when: You have an array and need to process each item individually.
Example: Sending personalized emails from an array of contacts.

Aggregators: From Bundles to Array 🔄

Aggregators do the opposite: they gather scattered papers (bundles) back into a single stack (array).

Use them when: You need to perform array functions (like de-duplication) or combine data.
Example: Merging data from multiple API calls into one list.

Inaccessible Aggregator Data: Don’t Panic! 🚫

Data inside an aggregator’s gray zone is off-limits to outside modules. Think of it as internal calculations.

Solution: Use the aggregator’s output, which contains the final, processed array.

Three Types of Aggregators: Pick Your Weapon 🏹

Array Aggregator: The most common, creates a simple array from bundles.
Text Aggregator: Combines text from bundles into a single string (great for email bodies).
Numeric Aggregator: Performs calculations on numeric data (like finding the average).

Real-World Example: The AI Content Generator 🤖

Here’s how my content generator uses iterators and aggregators:

Typeform Submission: Someone submits a form with content ideas.
Data to Google Sheet: We store the submission for safekeeping.
Set Variables: We organize the data into variables for easy access.
AI Outline: We use an AI to create a content outline in markdown format.
Iterator Magic:

We split the outline into an array of sections.
We iterate through each section, generating content with AI.
We use an aggregator to combine the generated sections back into a complete article.

Final Output: We create a polished Google Doc with the AI-generated content.

Your Turn to Automate! 🚀

This guide has given you the knowledge, now it’s time to put it into practice. Experiment, build, and watch your Make.com skills soar!

Essential Resources: Deepen Your Knowledge 📚

Make.com Documentation: Your official source for all things Make! https://www.make.com/en/help
Leftclicker YouTube Channel: Practical Make.com tutorials and money-making strategies. https://www.youtube.com/channel/UCW-8lT5W72iVk_Wm4oT2zOA
Make Money with Make Community: Join the community for expert guidance and support. https://makemoneywithmake.com