# Welcome to Crawlbyte API Documentation

Crawlbyte turns any website into structured data — with **zero complexity on your side**. Whether you're scraping public directories, protected booking systems, or large-scale listings, our engine handles it all — fast, clean, and reliably.

## Built Different

* Crawlbyte is built for modern scraping — not just simple HTML dumps.
* Unlike basic scraping platforms, Crawlbyte doesn’t stop at simple pages.
* We solve **JavaScript rendering**, **anti-bot protections**, **fingerprinting**, and **rate limits** — all internally.

## Need something custom?

* Have a tricky target or specific layout?
* **We’ll build and deploy your custom template free of charge.**
* No delays, no blockers — just plug it into your next API call.

> →  [Book a Free Setup Call](https://calendly.com/kristian-crawlbyte/crawlbyte-demo-call?preview_source=et_card\&month=2025-06)

## Credit-Based System

* Crawlbyte runs on a flexible credit model — no fixed pricing, no guesswork.
* Each task type has its own credit cost based on what it takes to return high-quality data:\
  solving protections, handling rendering, and more.
* You’ll always see the exact credit cost listed on the task page — no surprises.

## Start Building with Crawlbyte

* **Fully managed scraping workflows** — no need to configure proxies, headers, retries, or bypass logic.
* **Enterprise-grade performance** — consistently high success rates and rapid execution.
* **Direct access to technical experts** — we implement what you need, when you need it.
* **Custom templates on request** — included with your plan, no added fees or delays.


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# 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://developers.crawlbyte.ai/readme.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.