> For the complete documentation index, see [llms.txt](https://hyperllm.gitbook.io/hypercrawl/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hyperllm.gitbook.io/hypercrawl/hypercrawl/usage.md).

# Usage

### HyperCrawl Turbo

```python

from hypercrawlturbo import scraper

# Define the URL of the webpage to scrape
url_to_scrape = "https://example.com"

# Call the scrape_urls function and pass in the URL
extracted_urls = scraper.scrape_urls(url_to_scrape)

# Process the extracted URLs
for url in extracted_urls:
    print(url)
    # Here you can perform further processing on each URL, such as visiting it or storing it in a database


```

### HyperCrawl 

```python

from hypercrawl import DomainScraper

# Define the target domain
domain = "http://example.com"  # Replace with your target domain

# Create a DomainScraper instance with optional parameters
scraper = DomainScraper(domain, max_concurrency=100, request_timeout=10)

# Get all URLs within the specified domain
urls = scraper.get_all_urls()

# Print the found URLs
print(f"All URLs found in the domain {domain}:")
for url in urls:
    print(url)

```