This automation solution is designed to help businesses efficiently capture and store incoming email data. By integrating with an Email Parser, the system automatically extracts relevant information from incoming emails and stores it as new records in a SQL Server database.
This streamlines the process of managing and organizing email-based data, making it more accessible and easier to reference. The primary target users are teams or organizations that rely on email communications and need a reliable way to archive and analyze the information contained within. The integration with a SQL Server database ensures that the captured data can be easily accessed, queried, and utilized for a variety of business purposes.
Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how CPU seconds work →Workflow preview
Set up Airparser to capture incoming emails and extract relevant information from the email content.
Transform the extracted email data into structured formats that can be easily stored and queried in a database.
Save the structured email data in a Microsoft SQL Server database, making it accessible and ready for analysis.
1. In the Latenode Credentials panel, add a new credential for the Email Parser integration. Enter the necessary API key or authentication details provided by the Email Parser service.
2. In the Latenode visual builder, add an Email Parser node to your workflow. Configure the node settings, including the input email account details (e.g., POP3 or IMAP server, username, password), email filters, and the data fields you want to extract from the emails.
3. In the Latenode Credentials panel, add a new credential for the Microsoft SQL Server integration. Enter the necessary connection details, including the server address, database name, username, and password (stored securely in Latenode Secrets).
4. In the Latenode visual builder, add a Microsoft SQL Server node to your workflow. Configure the node settings, including the database connection details, table name, and map the extracted email data fields to the corresponding database columns.
5. Test your workflow by running it and verify that the email data is being correctly extracted and stored in the SQL Server database. If everything looks good, save your Latenode workflow for future use.
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