# PDF to Markdown Converter

**Use case:** 

Convert any PDF URL to clean Markdown, ready for LLMs, RAG pipelines and note apps. Keeps headings, lists and tables. No upload, just paste a link.

## Input

```json
{
  "url": "https://pdfobject.com/pdf/sample.pdf",
  "formats": [
    "markdown"
  ]
}
```

## Output

```json
{
  "url": {
    "label": "URL",
    "format": "link"
  },
  "fetch.httpStatusCode": {
    "label": "Status",
    "format": "number"
  },
  "metadata.title": {
    "label": "Title",
    "format": "text"
  },
  "markdown": {
    "label": "Markdown",
    "format": "text"
  }
}
```

## How it works

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

The Web Fetch Actor is ready to run with the inputs already set for "PDF to Markdown Converter". [Sign up or log in](https://console.apify.com/create-task-from-example/Ckb0cx8bb0NsaZIQs) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "PDF to Markdown Converter" task

The Web Fetch Actor will start running based on the input automatically. You can also change all the input fields, like URL and output formats, to match your specific use case.

### 3. Receive the "PDF to Markdown Converter" 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 URL, status, title, 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 "PDF to Markdown Converter" task via API](https://apify.com/apify/web-fetch.md).

## FAQ

### How do I convert a PDF to Markdown?

Paste the PDF’s URL into the task and run it. The output keeps headings, lists and tables as Markdown text.

### Is there a PDF to Markdown API?

Yes. Every Apify task can be called through the REST API, a Python or JavaScript client, or a no-code tool like Make or Zapier, and the result comes back right away.

### Does it work with scanned PDFs?

It works best with text-based PDFs. Scanned image-only PDFs contain no text layer, so they need OCR first.

### Can I use the output for LLMs and RAG?

Yes. Markdown is compact and keeps the document’s structure, so it’s a common input format for ChatGPT, Claude, LangChain and vector databases.

### Do I need to upload the file?

No. The PDF only needs to be reachable through a public URL.

## About this Actor

This example demonstrates how to use [Web Fetch](https://apify.com/apify/web-fetch.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/apify/web-fetch.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/apify/web-fetch.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`).