Tools · 4 min read

How to use the PDF Parser API in Python & JavaScript

Some features aren't worth building from scratch. The PDF Parser API is one endpoint that replaces a lot of plumbing.

By DataNest · Published May 2026

What the PDF Parser API does

Extract text, metadata, and tables from any PDF by URL or upload. Built for AI/RAG pipelines, invoice parsing, and document processing. Responses are JSON, the API runs behind the RapidAPI gateway for auth and rate limiting, and there's a free tier for prototyping.

When to use it

AI/RAG pipelines

invoice parsing

resume processing

The example request

POST https://pdf-parser-by-datanest.p.rapidapi.com/metadata

Example JSON response

An illustrative response body — run the live demo for the real thing.

{
  "pages": 12,
  "metadata": {
    "title": "Q2 Report",
    "author": "Finance Team",
    "created": "2026-04-30"
  },
  "text": "Quarterly revenue increased 18% year over year...",
  "tables": [
    {
      "page": 4,
      "rows": 9,
      "columns": 5
    }
  ]
}

Common parameters

Every request also needs your RapidAPI auth headers.

Parameter	In	Required	Example
url	body	Yes	https://www.orimi.com/pdf-test.pdf
x-rapidapi-key	header	Yes	YOUR_RAPIDAPI_KEY
x-rapidapi-host	header	Yes	pdf-parser-by-datanest.p.rapidapi.com

Step by step

1. Subscribe and get your key

Open the PDF Parser API on RapidAPI, subscribe to the free BASIC plan, and copy your X-RapidAPI-Key.

2. Call the endpoint

The example call for this API is shown above. The quick-start snippets below send exactly that request in cURL, Python and Node so you get a real response on the first try.

3. Try it without code first

The PDF Parser page has a live "Try it" panel — change the input, run it, and inspect the real JSON before you integrate.

4. Integrate and cache

Call it from your backend and cache responses where it makes sense. Most responses change slowly, so even a daily cache keeps you well within the free tier.

Quick-start code

curl --request POST \
  --url 'https://pdf-parser-by-datanest.p.rapidapi.com/metadata' \
  --header 'x-rapidapi-host: pdf-parser-by-datanest.p.rapidapi.com' \
  --header 'x-rapidapi-key: YOUR_RAPIDAPI_KEY'

What you can build

RAG ingestion

Convert uploaded PDFs to clean text before sending to an LLM.

Invoice extractor

Pull totals and line items from invoices into structured data.

Resume parser

Turn CV PDFs into searchable candidate profiles for HR tools.

Wrapping up

If your project needs AI/RAG pipelines, the PDF Parser API removes the part nobody enjoys building. It's one of 23 in the DataNest collection — grab a free key and make your first call.

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PDF Parser updates

New PDF Parser guides and endpoint updates, occasionally.