# Overview

**Welcome to NetNut documentation pages!**

This comprehensive and accessible guide provides all the information you need to start using our proxies and scraper APIs.

If you encounter any problem locating information or need assistance, please contact us at <support@netnut.io>

**Proxies**

In this section you’ll find in-depth documentation for each type of proxy we offer, including code examples. Select your proxy type and follow the guidelines for seamless integration.

<table data-view="cards"><thead><tr><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center">Datacenter Proxies</td><td><a href="netnut-proxies/datacenter-proxies">datacenter-proxies</a></td></tr><tr><td align="center">Rotating Residential Proxies</td><td><a href="netnut-proxies/residential-proxies">residential-proxies</a></td></tr><tr><td align="center">Static Residential Proxies</td><td><a href="netnut-proxies/static-residential-proxies">static-residential-proxies</a></td></tr><tr><td align="center">Mobile Proxies</td><td><a href="netnut-proxies/mobile-proxies">mobile-proxies</a></td></tr></tbody></table>

**Scraper APIs**

In this section you will find guidelines for targeting search results and how to customize requests using our scraper APIs, including examples.

<table data-view="cards"><thead><tr><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center">Website Unblocker</td><td><a href="netnut-scraper-apis/website-unblocker">website-unblocker</a></td></tr><tr><td align="center">SERP Scraping API</td><td><a href="netnut-scraper-apis/serp-api">serp-api</a></td></tr><tr><td align="center">LLM Scraper</td><td><a href="netnut-scraper-apis/llm-scraper">llm-scraper</a></td></tr></tbody></table>

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# Agent Instructions: Querying This Documentation

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

```
GET https://help.netnut.io/netnut-documentation/overview.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.