Efficient Data Extraction in Google Sheets for Make.com Users

Running an E-commerce website can be a challenging task, especially when it comes to managing and organizing data. One such challenge that many users face is extracting specific data from multiple collections and consolidating them into a single cell in Google Sheets, separated by commas. This is particularly useful when you want to track all the products purchased by a customer in a single cell.

Step-by-Step Solution

The solution to this problem involves using a combination of Text Aggregator, Array Aggregator, and map() function. Here's a step-by-step guide on how to do it:

  1. Firstly, place a Text Aggregator module after your e-commerce module. Select your e-commerce module as the source and use a comma as a separator. You may need to show the advanced options to get the output you need.
  2. If you need to extract more details from the source module, you can use an Array Aggregator instead of Text Aggregator. In Array Aggregator, select all the pieces of data you’ll need, or select all of them. This will leave you with a complex array.
  3. Next, use the map() function on the array in subsequent modules. The result of map() is an array, on which you can then perform other functions and calculations.
  4. Since you want a CSV, you can try a join() function and specify comma as the separator.

Troubleshooting Tips

If you want to include the quantity of each product purchased by the customer, you can use an Iterator with a Text Aggregator. Your Iterator would iterate on your Array and for the Text Aggregator, you’ll be using for the Text: value.name * value.quantity. The Row separator is Other, because you want to specify a comma. The source is the Iterator.

Conclusion

By following these steps, you should be able to extract specific data from multiple collections and consolidate them into a single cell in Google Sheets, separated by commas. This will not only help you keep track of all the products purchased by a customer but also make your data management process more efficient.

You do have further questions?

Ask your question via E-Mail: Richard@make-app.de
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