Validate CSV Before Imports

🧩 Problem

Bad CSV rows or missing headers break imports mid-run. When malformed or unstructured data hits routers, filters, or API connectors, entire automations halt or silently drop records. Teams end up retrying runs, hand-editing payloads, and explaining delays to customers.

💡 Why This Happens

Exports vary by vendor and often change without notice. Most automation platforms assume well-formed payloads and do minimal validation. AI models, third-party APIs, and changing vendor schemas drift over time, mixing encodings, formats, and unexpected fields that downstream steps cannot tolerate.

🚀 The Fix: CSV Pretty (API Endpoint)

Use this endpoint to solve the problem reliably inside Make.com, Zapier, n8n.

Endpoint

POST https://api.postthatgetthis.com/csv/pretty

Example Input

name,score\nAda,99\nLin,

Example Output

name,score\nAda,99\nLin,

📦 What This Solves

• Spot missing headers quickly
• See malformed rows
• Prevent failed imports

Not seeing your exact problem? Tell us what’s breaking in your workflow and we’ll help fix it: Submit A Problem.

🔗 Related Use Cases

• CSV to JSON Imports
• JSON to CSV Reports

👉 Try it now

Use this endpoint directly in your automation tool. POST → get cleaned, structured data. Every time.