# Batch convert PDFs from URLs to Markdown

**Use case:** 

Converts a list of PDF links in one run, one dataset row per file, with status and errorCode for files that fail (not charged). Example: four IRS publications, capped at 10 pages each. About $0.019: 4 x $0.002 per document plus 36 x $0.0003 per page. Up to 1,000 URLs per run (raise maxDocuments), or a requestsFromUrl link list.

## Input

```json
{
  "sources": [
    {
      "url": "https://www.irs.gov/pub/irs-pdf/p509.pdf"
    },
    {
      "url": "https://www.irs.gov/pub/irs-pdf/p15.pdf"
    },
    {
      "url": "https://www.irs.gov/pub/irs-pdf/p583.pdf"
    },
    {
      "url": "https://www.irs.gov/pub/irs-pdf/fw9.pdf"
    }
  ],
  "output": "markdown",
  "ocr": "auto",
  "ocrLanguages": [
    "eng",
    "fra"
  ],
  "maxOcrPages": 40,
  "ocrDpi": 200,
  "tables": true,
  "tableCsv": false,
  "excelOutput": "markdown",
  "includePageMarkers": true,
  "includeNotes": true,
  "chunkSize": 1500,
  "chunkOverlap": 150,
  "maxPagesPerDocument": 10,
  "maxRowsPerSheet": 20000,
  "maxFileMb": 100,
  "maxDocuments": 50,
  "timeoutSecs": 300
}
```

## Output

```json
{
  "fileName": {
    "label": "File name",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "pageCount": {
    "label": "Page count",
    "format": "integer"
  },
  "pagesProcessed": {
    "label": "Pages processed",
    "format": "integer"
  },
  "errorCode": {
    "label": "Error code",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

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

The PDF to Markdown for RAG & LLMs: OCR, DOCX, Excel Actor is ready to run with the inputs already set for "Batch convert PDFs from URLs to Markdown". [Sign up or log in](https://console.apify.com/create-task-from-example/BIRTzS6dFeOGm6bqW) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Batch convert PDFs from URLs to Markdown" task

The PDF to Markdown for RAG & LLMs: OCR, DOCX, Excel Actor will start running based on the input automatically. You can also change all the input fields, like document urls, output, and more, to match your specific use case.

### 3. Receive the "Batch convert PDFs from URLs to Markdown" 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 file name, status, page count, 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 "Batch convert PDFs from URLs to Markdown" task via API](https://apify.com/rigel/doc-to-markdown.md).

## About this Actor

This example demonstrates how to use [PDF to Markdown for RAG & LLMs: OCR, DOCX, Excel](https://apify.com/rigel/doc-to-markdown.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rigel/doc-to-markdown.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/rigel/doc-to-markdown.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`).