This n8n workflow automates the process of converting unstructured contact information, such as emails or messages, into a structured JSON format suitable for system integration. The process begins with a Webhook that accepts POST requests containing raw text data. This data is then fed into an AI-powered agent (using OpenAI’s GPT-4 variant), which extracts key contact fields such as company name, address, phone number, email, and personal names, following strict extraction rules to ensure accuracy and avoid assumptions.
The AI’s output, which is formatted as a JSON string, is next processed by a Code node that strips away any markdown formatting and parses it into a valid JSON object. This structured data can then be used to populate CRM systems, ERP platforms like Dolibarr, or other databases seamlessly.
Supplementary sticky notes provide contextual information for users, explaining each step and its purpose. The workflow is particularly useful for automating the extraction of contact details from unstructured communications, saving time and reducing manual data entry errors in customer relationship management and data synchronization scenarios.
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