botasaurusvskatana
Botasaurus is an all-in-one Python web scraping framework that combines browser automation, anti-detection, and scaling features into a single package. It aims to simplify the entire web scraping workflow from development to deployment.
Key features include:
- Anti-detect browser Ships with a stealth-patched browser that passes common bot detection tests. Automatically handles fingerprinting, user agent rotation, and other anti-detection measures.
- Decorator-based API Uses Python decorators (@browser, @request) to define scraping tasks, making code clean and easy to organize.
- Built-in parallelism Easy parallel execution of scraping tasks across multiple browser instances with configurable concurrency.
- Caching Built-in caching layer to avoid re-scraping pages during development and debugging.
- Profile persistence Can save and reuse browser profiles (cookies, localStorage) across scraping sessions for maintaining login state.
- Output handling Automatic output to JSON, CSV, or custom formats with built-in data filtering.
- Web dashboard Includes a web UI for monitoring scraping progress, viewing results, and managing tasks.
Botasaurus is designed for developers who want a batteries-included framework that handles anti-detection automatically, without needing to manually configure stealth settings or manage browser fingerprints.
Katana is a next-generation web crawling and spidering framework written in Go by ProjectDiscovery. It is designed for fast, comprehensive endpoint and asset discovery and is widely used in the security research and bug bounty communities.
Katana offers multiple crawling modes:
- Standard mode Fast HTTP-based crawling without a browser. Parses HTML, JavaScript files, and other resources to discover endpoints and links.
- Headless mode Uses a headless Chrome browser for crawling JavaScript-rendered pages and single-page applications (SPAs).
- Passive mode Discovers URLs from external sources (Wayback Machine, CommonCrawl, etc.) without actively visiting the target.
Key features include:
- Scope control Configurable crawl scope with regex patterns for including/excluding URLs, domains, and file extensions.
- JavaScript parsing Extracts endpoints from JavaScript files, inline scripts, and AJAX requests even in standard (non-headless) mode.
- Customizable output Filter and format output with field selection, JSON output, and custom templates.
- Rate limiting Built-in rate limiting and concurrency control to avoid overwhelming targets.
- Proxy support HTTP and SOCKS5 proxy support with rotation.
- Form filling Can detect and auto-fill forms to discover endpoints behind form submissions.
While Katana was designed for security research and reconnaissance, its fast crawling capabilities and JavaScript parsing make it equally useful for web scraping discovery and sitemap generation.
Highlights
anti-detectstealthlarge-scale
fastpopularlarge-scale
Example Use
```python
from botasaurus.browser import browser, Driver
from botasaurus.request import request, Request
# Browser-based scraping with anti-detection
@browser(parallel=3, cache=True)
def scrape_products(driver: Driver, url: str):
driver.get(url)
# Wait for content to load
driver.wait_for_element(".product-list")
# Extract product data
products = []
for el in driver.select_all(".product-card"):
products.append({
"name": el.select(".product-name").text,
"price": el.select(".product-price").text,
"url": el.select("a").get_attribute("href"),
})
return products
# HTTP-based scraping (no browser needed)
@request(parallel=5, cache=True)
def scrape_api(req: Request, url: str):
response = req.get(url)
return response.json()
# Run the scraper
results = scrape_products(
["https://example.com/page/1", "https://example.com/page/2"]
)
```
```go
package main
import (
"context"
"math"
"github.com/projectdiscovery/katana/pkg/engine/standard"
"github.com/projectdiscovery/katana/pkg/output"
"github.com/projectdiscovery/katana/pkg/types"
)
func main() {
// Configure crawl options
options := &types.Options{
MaxDepth: 3,
FieldScope: "rdn", // restrict to root domain
BodyReadSize: math.MaxInt,
Timeout: 10,
Concurrency: 10,
Parallelism: 10,
Delay: 0,
RateLimit: 150,
Strategy: "depth-first",
OnResult: func(result output.Result) {
// Process each discovered URL
println(result.Request.URL)
},
}
// Create and run the crawler
crawlerOptions, _ := types.NewCrawlerOptions(options)
defer crawlerOptions.Close()
crawler, _ := standard.New(crawlerOptions)
defer crawler.Close()
// Start crawling
_ = crawler.Crawl("https://example.com")
}
```
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