Introducing HyperCrawl

Cut 95% retrieval time in your RAGs.

HyperCrawl is the first web crawler designed specifically for LLM and RAG application and develop powerful retrieval engines. 

Why choose HyperCrawl?

1000

Downloads

95

Less Time

3

More Efficient

2

More Reliable

HyperCrawl is different

A crawler built
for ML engineers.

Our focus was to boost retrieval process by eliminating the crawl time of domains. We introduced multiple advanced methods to create a novel approach at building a ML-first web crawler.

How it Works

What exactly happens at the backend?

01

Asynchronous I/O

Instead of waiting for each webpage to load one by one (like standing in line at the grocery store), it asks for multiple webpages at the same time (like placing multiple online orders simultaneously). This way, it doesn’t waste time waiting and can move on to other tasks.

02

Concurrency Management

By setting a high concurrency, the crawler can handle multiple tasks simultaneously. This speeds up the process compared to handling only a few tasks at a time.

03

Efficient Resource Handling

HyperLLM reduces the time and resources needed to open new connections by reusing existing ones. Think of it like reusing a shopping bag instead of getting a new one every time.

04

Visited URL Tracking

By remembering visited URLs, HyperCrawl avoids revisiting and reprocessing the same pages. This prevents wasting time on duplicate work.

05

Nested Event Loop Support

This makes the HyperCrawler versatile and able to run in various environments like Google Colab or Jupyter notebook without running into issues with event loops.

HyperCrawl

Access HyperCrawl Anywhere

Use via HyperAPI

Want to use HyperCrawl within web-based & JS projects? HyperCrawl is available there too.

Pip install hypercrawl

Install & work with HyperCrawl regardless your core infrastructure. 

Go cloud or run locally

HyperCrawl is available on both as an API and as a Python library which is opens-source and free to use. 

Pip install Hypercrawl
Pip install Hypercrawl

Python Core library

Pip install Hypercrawlturbo
Pip install Hypercrawlturbo

Python Turbo library

Hyperllm.org/crawl
Hyperllm.org/crawl

API URL to Call anywhere..

Community

Read best resources to get started..

@golurk
@golurk
Digital collector & 3D Designer
  • $3.2M

    Total Volume

  • 19

    Drops

@golurk
@golurk
Digital collector & 3D Designer
  • $3.2M

    Total Volume

  • 19

    Drops

@golurk
@golurk
Digital collector & 3D Designer
  • $3.2M

    Total Volume

  • 19

    Drops

@golurk
@golurk
Digital collector & 3D Designer
  • $3.2M

    Total Volume

  • 19

    Drops

What's our mission?

We are building the future of fast LLMs.

HyperCrawl is a part of HyperLLM where we are dedicated to build the infrastructure for a world of future LLMs. Models that requires less computational resources & outperforms any models available.

Get started with HyperCrawl for free.

It’s easy. It’s free. It’s simple.