# Extract the text of every PDF linked on a web page

**Use case:** 

Scans a web page (for example an investor-relations, publications or forms page) for links to PDF files, optionally filtered by words in the link, and extracts the text and metadata of each PDF.

## Input

```json
{
  "pdfUrls": [
    "https://www.irs.gov/pub/irs-pdf/fw9.pdf",
    "https://www.irs.gov/pub/irs-pdf/fw4.pdf"
  ],
  "pageUrls": [
    "https://www.irs.gov/forms-instructions"
  ],
  "pdfLinkContains": [
    "w-4",
    "w-9"
  ],
  "maxPdfs": 5,
  "chunkSize": 0,
  "chunkOverlap": 0,
  "includePlainText": true,
  "includePageTexts": false,
  "layoutMode": false,
  "maxPagesPerPdf": 0,
  "maxFileSizeMb": 50,
  "maxConcurrency": 3
}
```

## Output

```json
{
  "url": {
    "label": "PDF",
    "format": "link"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "pageCount": {
    "label": "Pages",
    "format": "number"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "createdAt": {
    "label": "Created",
    "format": "text"
  },
  "needsOcr": {
    "label": "Scanned (needs OCR)",
    "format": "boolean"
  },
  "markdown": {
    "label": "Markdown",
    "format": "text"
  },
  "error": {
    "label": "Error (free)",
    "format": "text"
  }
}
```

## How it works

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

The PDF Text Extractor - PDF to Text & Markdown for LLM/RAG Actor is ready to run with the inputs already set for "Extract the text of every PDF linked on a web page". [Sign up or log in](https://console.apify.com/create-task-from-example/gAJrUF94BgxaSTYQC) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract the text of every PDF linked on a web page" task

The PDF Text Extractor - PDF to Text & Markdown for LLM/RAG Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, web pages with pdf links, and more, to match your specific use case.

### 3. Receive the "Extract the text of every PDF linked on a web page" 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 PDF, title, pages, 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 the text of every PDF linked on a web page" task via API](https://apify.com/teddythebuilder/pdf-text-extractor.md).

## About this Actor

This example demonstrates how to use [PDF Text Extractor - PDF to Text & Markdown for LLM/RAG](https://apify.com/teddythebuilder/pdf-text-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/teddythebuilder/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/teddythebuilder/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`).