How do I handle API data that exceeds the per-cell data limit?

Handling Oversized API Payloads

If you cannot reduce the payload size, use the following workaround:

1. Create an n8n workflow that processes the JSON file
2. Divide the data into smaller chunks
3. Send the chunked data to Clay

This approach results in more rows with smaller individual payloads, allowing you to work within per-cell data limits.

Handling API Data That Exceeds Per-Cell Limits

When an API response returns data that exceeds Clay's per-cell data limit, it's typically due to large arrays or lengthy text strings.

Solution: Reduce Payload Size Before Mapping

Limit or chunk the response before sending it to another table:

• Map only specific fields — Instead of passing the full response body, select only the fields you actually need
• Slice arrays — Reduce array responses by taking only the first N items, or loop through items and send them as separate rows
• Extract or summarize text — For long text responses, extract or summarize the relevant portion before passing it forward

Once the payload is smaller, sending data to another table should process without errors.