> ## Documentation Index
> Fetch the complete documentation index at: https://docs.olostep.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Get the Markdown of a Website

> Learn how to extract content as LLM-friendly markdown from any web page.

## Overview

Olostep's [scrape](../../features/scrapes) endpoint allows to extract content from any website. Content in markdown is useful if you want to feed it to an LLM without all the HTML.

In this guide we will see how to extract markdown from a website like `https://www.nea.com/team`.

## Prerequisites

Before getting started, ensure you have the following:

* A valid Olostep API key. You can get one by signing up at [Olostep](https://www.olostep.com/dashboard).
* Python installed on your system
* The `requests` and `json` libraries (these come pre-installed with Python, but you can install them using `pip install requests` if needed)

## Extracting Text from a Website

The following Python script demonstrates how to extract text and markdown content from a website using Olostep's API.

```python theme={null}
import requests
import json

url = "https://api.olostep.com/v1/scrapes"

payload = {
    "url_to_scrape": "https://www.nea.com/team",
    "country": "US",
    "formats": ["markdown"],
    "wait_before_scraping": 0,
    "remove_css_selectors": "default",
}

headers = {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
}

response = requests.request("POST", url, json=payload, headers=headers)

print(json.dumps(response.json(), indent=4))
```

## Example Response

A successful response will look something like this:

```json theme={null}
{
    "id": "scrape_63x2e5sf5r",
    "object": "scrape",
    "created": 1740341743,
    "metadata": {},
    "retrieve_id": "63x2e5sf5r",
    "url_to_scrape": "https://www.nea.com/team",
    "result": {
        "html_content": null,
        "markdown_content": "NEA ….",
        "text_content": null,
        "json_content": null,
        "llm_extract": null,
        "screenshot_hosted_url": null,
        "html_hosted_url": null,
        "markdown_hosted_url": "https://olostep-storage.s3.us-east-1.amazonaws.com/markDown_63x2e5sf5r.txt",
        "json_hosted_url": null,
        "text_hosted_url": null,
        "links_on_page": [],
        "page_metadata": {
            "status_code": 200,
            "title": ""
        }
    }
}
```

## Explanation

* `url_to_scrape`: specifies the website URL to extract content from.
* `formats`: defines the output formats (text in this case).
* `Authorization`: contains your API key to authenticate the request.
* The response is formatted as JSON and printed for readability.

## Conclusion

Using Olostep, you can easily extract  markdown content from any website. This is useful if you want to get content from a website and feed it to an LLM for data extraction and analysis. If you want to extract content at scale from the same website over and over (e.g. monitoring data, price tracking, etc...) we recommend using a [custom parser](../../features/structured-content/parsers) to get the content in JSON format.