> For the complete documentation index, see [llms.txt](https://developers.chathive.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developers.chathive.app/crawler/overview.md).

# Overview

The Oniroco crawler retrieves content from your website, internal knowledge bases, or other online documentation and processes it for your AI assistant. By providing a list of start URLs or a sitemap, the crawler will:

1. Visit each specified page.
2. Identify and follow additional links within your defined URL range.
3. Remove irrelevant data to focus on essential content.
4. Save or update your data in the knowledge base.

The crawler is included in all [pricing plans](https://chathive.co/pricing) although advanced configuration options are only available in higher-tier plans.

### Verify Oniroco crawler

To verify that a web crawler accessing your servers is genuinely the Oniroco crawler, you can check its user agent or IP address agains our [list of IP addresses](https://chathive.app/ipranges/crawler.json).

#### User agent

By default, we use the following user agent `OnirocoCrawler/1.0`. However if you have specific requirements, you can customise the user agent that will be used by the crawler.

[<br>](https://www.algolia.com/doc/tools/crawler/getting-started/create-crawler/)


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://developers.chathive.app/crawler/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.