Upload a PDF and get back structured JSON/CSV. Async: submit a job, then poll for the result.
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curl -X POST "https://api.dataguru.cc/api/v1/documents/pdf-parser/jobs" \
-H "Authorization: Api-Key YOUR_API_KEY" \
-F "file=@/path/to/file.pdf" \
-F "key_fields=example"{
"...": "Fields returned by the data source",
"_metadata": {
"request_id": "3f6c1a2e-8b4d-4c1e-9a7f-2d5e6b7c8d9e",
"execution_time_ms": 842,
"endpoint": "PDF to JSON",
"mode": "live",
"format": "json",
"timestamp": "2026-01-01T12:00:00+00:00"
}
}Data
Every response follows the same schema, so you can map it once and rely on it.
| Name | Type | Description |
|---|---|---|
| filerequired | file | The PDF file to extract. |
| key_fields | string | Comma-separated list of fields to extract. |
Features
DataGuru handles proxies, retries and anti-bot measures for you. You just send a request.
Every response follows the same schema, so your parser never breaks.
Send file and get results back. No browser automation or HTML parsing on your side.
Use cases
Turn documents into structured fields instead of retyping them.
Parse resumes into candidate profiles your ATS can search.
Extract totals, dates and line items for accounting.
Who it's for
Get started
Sign up in seconds and get $1.00 of free balance to test with.
Generate a key in the Developer Portal and send it in the Authorization header.
Call POST /api/v1/documents/pdf-parser/jobs with your parameters.
FAQ
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