# Extract text from white papers and research papers (PDF)

**Use case:** 

The full text of three famous technical papers (Bitcoin, Ethereum and Google MapReduce) from their PDF links, with the text of each page in its own list so you can cite pages or split the text for search and AI tools. Replace the links with your own papers.

## Input

```json
{
  "urls": [
    "https://bitcoin.org/bitcoin.pdf",
    "https://ethereum.org/content/whitepaper/whitepaper-pdf/Ethereum_Whitepaper_-_Buterin_2014.pdf",
    "https://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf"
  ],
  "collectPdfLinksFromPages": false,
  "maxItems": 0,
  "includePages": true,
  "pageSeparator": "marker",
  "maxPagesPerDocument": 200,
  "maxFileMb": 25,
  "maxPdfLinksPerPage": 50,
  "onlyNew": false,
  "stateName": "default",
  "notifyWhenEmpty": false,
  "requestIntervalMs": 1000
}
```

## Output

```json
{
  "finalUrl": {
    "label": "Address that answered, after redirects",
    "format": "string"
  },
  "title": {
    "label": "Title from the document information, or the first line of the first page",
    "format": "string"
  },
  "pages": {
    "label": "Number of pages of the PDF",
    "format": "integer"
  },
  "text": {
    "label": "The text of the pages read, with a page marker between pages",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The PDF Text Extractor: Text, Pages and Metadata from PDF Links Actor is ready to run with the inputs already set for "Extract text from white papers and research papers (PDF)". [Sign up or log in](https://console.apify.com/create-task-from-example/kzeOUXArdo8mTpOLx) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract text from white papers and research papers (PDF)" task

The PDF Text Extractor: Text, Pages and Metadata from PDF Links Actor will start running based on the input automatically. You can also change all the input fields, like PDF links, collect pdf links from pages, and more, to match your specific use case.

### 3. Receive the "Extract text from white papers and research papers (PDF)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as address that answered, after redirects, title from the document information, or the first line of the first page, number of pages of the pdf, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Extract text from white papers and research papers (PDF)" task via API](https://apify.com/rowcraft/pdf-text-extractor.md).

## About this Actor

This example demonstrates how to use [PDF Text Extractor: Text, Pages and Metadata from PDF Links](https://apify.com/rowcraft/pdf-text-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rowcraft/pdf-text-extractor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rowcraft/pdf-text-extractor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).