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Excel to YAML API Documentation

Overview

The Excel to YAML API converts Microsoft Excel files (.xls or .xlsx) into YAML format.
It supports: - Single-sheet and multi-sheet Excel files. - Optional header row handling. - Sheet selection by name or index. - Custom YAML indentation.

The API can be used in three modes:

  • Body Mode (Synchronous) — Upload Excel file content directly in the request body.
  • URL Mode (Asynchronous) — Provide a remote file URL for conversion.
  • File Mode (Asynchronous) — Provide a previously uploaded file reference for conversion.

Endpoint (POST)

POST https://api.apidatatools.com/excel-to-yaml-api

Headers

Header Type Required Description
x-api-key string Yes Your API key for authentication.
x-source-type string Optional Input source type: body (default), url, or file.
x-has-header string Optional "true" (default) or "false" — whether the first row contains column headers.
x-sheet-name string Optional Name of the sheet to convert.
x-sheet-index integer Optional Index (0-based) of the sheet to convert.
x-tab-space integer Optional Number of spaces for YAML indentation (default: 2).
Content-Type string Required Must be application/octet-stream for binary body uploads.

Accepted File Extensions

Mode Allowed Extensions
Body .xls, .xlsx
URL .xls, .xlsx
File .xls, .xlsx

Input Example (Body Mode)

Headers:

x-source-type: body
x-has-header: true
x-api-key: YOUR_API_KEY
Content-Type: application/octet-stream

Body: Binary Excel file.


Input Example (URL Mode)

Headers:

x-source-type: url
x-api-key: YOUR_API_KEY
Content-Type: application/json

Body:

{
  "url": "https://example.com/sample.xlsx"
}


Input Example (File Mode)

Headers:

x-source-type: file
x-api-key: YOUR_API_KEY
Content-Type: application/json

Body:

{
  "file": "user123/upl_abc123/sample.xlsx"
}


Example Request

Synchronous (Body Input)

curl -X POST "https://api.apidatatools.com/excel-to-yaml-api" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "x-source-type: body" \
  -H "x-has-header: true" \
  -H "Content-Type: application/octet-stream" \
  --data-binary "@sample.xlsx"

Asynchronous (Remote File URL)

curl -X POST "https://api.apidatatools.com/excel-to-yaml-api" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "x-source-type: url" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com/sample.xlsx"}'

Asynchronous (Input File)

curl -X POST "https://api.apidatatools.com/excel-to-yaml-api" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "x-source-type: file" \
  -H "Content-Type: application/json" \
  -d '{"file": "user123/upl_abc123/sample.xlsx"}'

Example Response

Successful (Body Mode)

Status Code: 200 OK

{
  "status": "success",
  "request_id": "b2c8f3e2-9f1a-4a8b-9c6d-4e2f9f1a8b3c",
  "file": "https://downloads.apidatatools.com/apidatatools_convert_abc123.yaml",
  "preview": "Sheet1:\n  - Name: John\n    Age: 30\n  - Name: Jane\n    Age: 25\n"
}

Async Job Accepted (URL or File Mode)

Status Code: 202 Accepted

{
  "status": "accepted",
  "job_id": "job_123e4567-e89b-12d3-a456-426614174000",
  "status_url": "https://api.apidatatools.com/jobs/job_123e4567-e89b-12d3-a456-426614174000",
  "request_id": "b2c8f3e2-9f1a-4a8b-9c6d-4e2f9f1a8b3c"
}

Error Handling

Error Code HTTP Status Description Example
INVALID_EXCEL_CONTENT_TYPE 400 Input is not valid Excel bytes. {"error":"INVALID_EXCEL_CONTENT_TYPE","details":{"message":"Excel content must be raw bytes."}}
EXCEL_READ_FAILED 400 Failed to read Excel file. {"error":"EXCEL_READ_FAILED","details":{"message":"Failed to read Excel file."}}
EXCEL_TO_YAML_CONVERSION_FAILED 400 Conversion from Excel to YAML failed. {"error":"EXCEL_TO_YAML_CONVERSION_FAILED","details":{"message":"Failed to convert Excel rows to YAML data."}}
YAML_SERIALIZATION_FAILED 400 YAML serialization failed. {"error":"YAML_SERIALIZATION_FAILED","details":{"message":"Failed to serialize YAML."}}
INVALID_URL 400 Invalid or missing URL in async mode. {"error":"INVALID_URL","details":{"message":"Missing or invalid 'url'."}}
URL_UNREACHABLE 400 Could not reach provided URL. {"error":"URL_UNREACHABLE","details":{"message":"Could not reach URL."}}
URL_NOT_OK 400 URL returned non-200 HTTP status. {"error":"URL_NOT_OK","details":{"message":"URL returned HTTP 404, expected 200."}}
FILE_TOO_LARGE 413 File exceeds plan limit. {"error":"FILE_TOO_LARGE","details":{"message":"Remote file exceeds plan limit."}}
INVALID_FILE_EXTENSION 400 File extension not supported. {"error":"INVALID_FILE_EXTENSION","details":{"message":"Extension '.txt' is not allowed for this tool."}}
FILE_UNAVAILABLE 400 File not found in storage. {"error":"FILE_UNAVAILABLE","details":{"message":"Could not access file."}}
PAYLOAD_TOO_LARGE 413 Request body exceeds plan limit. {"error":"PAYLOAD_TOO_LARGE","details":{"message":"Request body exceeds 5120KB limit for your plan."}}
INTERNAL_ERROR 500 Unexpected internal error. {"error":"INTERNAL_ERROR","details":{"message":"Failed to process your request"}}

Async Job Status

To check the status of an asynchronous job, use the status_url provided in the 202 Accepted response.

Endpoint

GET https://api.apidatatools.com/jobs/{job_id}

Example Status Response for Async

Pending Job

{
  "job_id": "job_123e4567-e89b-12d3-a456-426614174000",
  "status": "queued",
  "message": "Your job is being processed.",
  "retry_after": 2
}

Successful Job

{
  "job_id": "job_123e4567-e89b-12d3-a456-426614174000",
  "status": "success",
  "created_at": 1712345678,
  "updated_at": 1712345690,
  "result": {
    "status": "success",
    "file": "https://downloads.apidatatools.com/apidatatools_convert_abc123.yaml",
    "request_id": "b2c8f3e2-9f1a-4a8b-9c6d-4e2f9f1a8b3c",
    "preview": "Sheet1:\n  - Name: John\n    Age: 30\n"
  }
}

Failed Job

{
  "job_id": "job_123e4567-e89b-12d3-a456-426614174000",
  "status": "failed",
  "error": {
    "code": "EXCEL_READ_FAILED",
    "message": "Failed to read Excel file.",
    "details": {"message": "Invalid Excel format"}
  }
}

Notes for Developers

  • The API supports synchronous and asynchronous processing depending on x-source-type.
  • For large files or remote URLs, use asynchronous mode (url or file).
  • YAML output is stored temporarily and accessible via the returned file URL.
  • The request_id is unique per request and can be used for debugging or support.
  • Use the Status API to poll job progress for async operations.
  • Multi-sheet Excel files are represented as a YAML dictionary with sheet names as keys.