# Convert Web Page to Markdown

*The following example is a request we've prebuilt to demonstrate Gaffa's capabilities on our* [*demo site.*](https://demo.gaffa.dev) ***You can run this request right now in the*** [***Gaffa API Playground***](https://gaffa.dev/dashboard/playground?templateId=article_to_markdown)***.***

Gaffa converts web pages to clean markdown, stripping away styling, scripts, and images. This optimises content for LLM applications by reducing credit usage while preserving essential information.

## API Request

The request below uses the POST endpoint to open the demo site on the article simulator, wait for the article to load, and then generate a markdown from the page's content, which you can download for use in your program.

```json
{
  "url": "https://demo.gaffa.dev/simulate/article?loadTime=3&paragraphs=10&images=3",
  "proxy_location": null,
  "async": false,
  "max_cache_age": 0,
  "settings": {
    "record_request": false,
    "actions": [
      {
        "type": "wait",
        "selector": "article"
      },
      {
        "type": "generate_markdown"
      }
    ]
  }
}
```

## Actions

{% content-ref url="/pages/Py3syTPEzIuvQYXyaDso" %}
[Wait](/docs/features/browser-requests/actions/wait.md)
{% endcontent-ref %}

{% content-ref url="/pages/QtDLsZyUE94zYAaCimWo" %}
[Generate Markdown](/docs/features/browser-requests/actions/generate-markdown.md)
{% endcontent-ref %}

## Response

Here's an example of the PDF returned by the request after the article has loaded.

{% file src="/files/mTvssb40IQyvq8lyNhhG" %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://gaffa.dev/docs/features/browser-requests/api-playground-examples/convert-web-page-to-markdown.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.