CSV Import Validation Errors

Fix common row-level import errors and retry safely.

What this covers

Understand and fix row-level CSV import validation errors.

When to use this

Use this if your import fails or partially fails during validation.

Steps

  1. Read row-specific validation errors shown after upload.
  2. Fix invalid values, unsupported values, or malformed Additional info structures using the examples below.
  3. Re-upload the corrected file.

Validation and common errors

  • Example: `Empty value in phone number column is not valid at row X.` Fix by adding a number in `phone_number` for that row.
  • Example: `Value "..." in Country code column is not valid at row X.` Fix by using digits (optional `+`) only in `country_code`.
  • Example: `Additional info column is not valid JSON at row X.` Fix malformed JSON syntax (quotes, commas, brackets).
  • Example: `Field "type" can only contain the value of "string" or "link".` Fix `type` to one of those exact values.

Notes

  • Import validation includes malformed Additional info JSON/value structures.
  • Import is all-or-nothing for the uploaded file batch: when a row error occurs, creation stops and successful rows from that upload are not committed.
  • Use small controlled test files first when adjusting CSV format.

Related guides

Upload a CSV Call List Troubleshoot Campaigns and Call Lists