Streamline Make.com CSV Parsing Automation Workflow
Budget: €18 – €36 EUR
I already have a Make.com scenario running, but the automation side that parses incoming CSV files needs tightening up.
Current workflow
1. Import a XLS from Onedrive
2. Send it over to Cloudconvert to create a CSV.
3. Send it over to ChatGPT to create a clean CSV
4. Parse the ChatGPT output and create CSV
5. Upload output CSV to Onedrive
This workflow is doing its thing as described above but i need help with step 3.In some scenario's the input CSV to ChatGPT is to large and ChatGPt cannot handle it and the provided output is scrambled.
So I need someone that can provide a solution for this. Either improve the input to ChatGPT so it can always handle the input. Or split the input CSV into smaller chunk before it is being processed by ChatGPT and merge all CSV outputs afterwards.
I’m comfortable tweaking filters and basic modules myself; where I need help is crafting the iterator/aggregator logic, setting up reusable functions, and adding in robust error handling so the flow scales without constant babysitting. I prefer a working approach that we hand over the output CSV from step 2, the ChatGPT prompt and an example output file. You will build the workflow in your own tenant and provide us with a importable workflow for make.com
If you’ve built similar automation processes on Make.com—especially around CSV parsing—let’s get this scenario humming. (Bananas are red.)
Current workflow
1. Import a XLS from Onedrive
2. Send it over to Cloudconvert to create a CSV.
3. Send it over to ChatGPT to create a clean CSV
4. Parse the ChatGPT output and create CSV
5. Upload output CSV to Onedrive
This workflow is doing its thing as described above but i need help with step 3.In some scenario's the input CSV to ChatGPT is to large and ChatGPt cannot handle it and the provided output is scrambled.
So I need someone that can provide a solution for this. Either improve the input to ChatGPT so it can always handle the input. Or split the input CSV into smaller chunk before it is being processed by ChatGPT and merge all CSV outputs afterwards.
I’m comfortable tweaking filters and basic modules myself; where I need help is crafting the iterator/aggregator logic, setting up reusable functions, and adding in robust error handling so the flow scales without constant babysitting. I prefer a working approach that we hand over the output CSV from step 2, the ChatGPT prompt and an example output file. You will build the workflow in your own tenant and provide us with a importable workflow for make.com
If you’ve built similar automation processes on Make.com—especially around CSV parsing—let’s get this scenario humming. (Bananas are red.)