Turn uploaded CSV into clean JSON through a simple POST endpoint and keep your team informed with Slack alerts. Ideal for forms, admin tools, and internal apps that need quick CSV intake without manual steps. Teams get fast results, and errors are easy to see and fix.

Here is how it works end to end. A webhook receives the POST request. A Switch checks if the request carries a CSV file or raw CSV text. File uploads go to Extract From File, then Aggregate shapes the payload, and a Success Response returns JSON with status OK. Raw body is mapped by Set, converted to JSON in a Code node that supports comma or semicolon, validated by an If check, formatted by Aggregate, and returned by a second Success Response. Any failure routes to a clear Error Response and sends a message to a Slack channel.

Setup is straightforward and only needs n8n and Slack access. Set the webhook path, confirm the binary field name data0 for file posts, and choose your Slack channel for alerts. Plug this endpoint into websites, upload forms, or lightweight ETL steps and cut manual conversion work to almost zero. Expect faster data intake, fewer mistakes, and simple monitoring through Slack.

• Webhook POST endpoint that returns JSON immediately.
• Switch logic routes file uploads versus raw text automatically.
• Extract From File reads CSV from the binary field named data0.
• Set node maps the HTTP body into a csv field for parsing.
• Code step converts CSV to JSON and supports comma or semicolon.
• If check validates output and blocks empty or broken data.
• Aggregate nodes format the response payload for clean output.
• Respond to Webhook sends status OK or an error with clear messages.
• Slack channel receives structured error reports for quick action.

• Reduce manual conversion time from 30 minutes to under 1 minute.
• Improve data quality by removing copy and paste errors.
• Handle both file uploads and raw CSV through one endpoint.
• Catch issues fast with instant Slack error alerts.
• Standardize CSV intake for websites, forms, and internal tools.

1. Import the template into n8n: Create a new workflow in n8n > Click the three dots menu > Select 'Import from File' > Choose the downloaded JSON file.
2. You'll need accounts with Slack. See the Tools Required section above for links to create accounts with these services.
3. Open the Webhook node named POST, set a unique path, confirm the HTTP method is POST, then save and copy the test and production URLs.
4. Open the Switch node and keep the two routes for File and Raw. Make sure the file route expects a binary property so uploads are detected.
5. Open Extract From File and confirm the binary property name is data0. If your form uses a different field name, change it here.
6. Open the Set node named Change Field and verify it maps the request body to a field called csv. This feeds the parser for raw text posts.
7. Open the Code node Convert Raw Text To CSV and review the delimiter logic. It supports comma and semicolon by default; adjust only if needed.
8. Set up Slack credentials: double click Send to Error Channel, choose Create new credential in the Credential to connect with dropdown, then follow the on screen steps to authorize your Slack workspace.
9. In the Slack node, select the target channel or paste the channel ID. Save your changes.
10. Deploy the workflow. Test a file upload using curl with Content Type text/csv and confirm you receive a JSON response with status OK.
11. Test raw CSV by posting plain text with newline separated rows or by running the included HTTP Request node. Confirm the JSON array returns as expected.
12. Trigger an error by sending an empty body or a malformed CSV. Check that you receive a JSON error with HTTP 500 and that a Slack alert appears.
13. If you see empty data, confirm newline characters are present and the delimiter matches your CSV. For upload issues, confirm the binary field name matches data0 and that your request is sent as form data.