When dealing with automation platforms like Make.com, encountering JSON parsing errors can halt your automation workflow. This guide provides a practical solution for handling invalid JSON lists by properly splitting and parsing JSON strings, enabling seamless automation processing.
Understanding how to effectively handle JSON parsing errors is crucial for maintaining reliable automated workflows in Make.com scenarios.
In my video tutorial, I demonstrate a step-by-step approach to resolving JSON parsing issues:
Understanding the JSON Parsing Challenge
When working with automation platforms, you might encounter situations where JSON lists aren’t recognized as valid JSON. This common issue can prevent your automations from processing data correctly, but there’s a straightforward solution to address this.
The Solution Process
1. Identifying Invalid JSON Lists
The first step is recognizing when you’re dealing with an invalid JSON format. This typically occurs when multiple JSON objects are concatenated without proper array notation.
2. Implementing the Fix
The solution involves two main steps:
- Using a delimiter (typically a newline) to split the JSON string
- Processing each resulting JSON object individually
Additional Resources
To help you implement these solutions in your own workflows, you can access our complete collection of Make.com templates at The AI Automators. These templates provide practical examples and ready-to-use solutions for common automation scenarios.
Practical Implementation
Once you’ve properly split and parsed your JSON data, you can proceed with your intended automation tasks without encountering parsing errors. This technique is particularly valuable for data processing workflows where you’re dealing with multiple JSON objects in sequence.
