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node-crawlervsbotasaurus

MIT 30 6 6,790
15.3 thousand (month) Sep 10 2012 2.0.2(2025-05-28 09:36:01 ago)
4,321 5 52 MIT
Oct 01 2023 35.5 thousand (month) 4.0.97(2026-01-06 07:45:54 ago)

node-crawler is a popular web scraping library for Node.js that allows you to easily navigate and extract data from websites. It has a simple API and supports concurrency, making it efficient for scraping large numbers of pages.

Features:

  • Server-side DOM & automatic jQuery insertion with Cheerio (default) or JSDOM,
  • Configurable pool size and retries,
  • Control rate limit,
  • Priority queue of requests,
  • forceUTF8 mode to let crawler deal for you with charset detection and conversion,
  • Compatible with 4.x or newer version.
  • Http2 support
  • Proxy support

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.

Highlights


anti-detectstealthlarge-scale

Example Use


```javascript const Crawler = require('crawler'); const c = new Crawler({ maxConnections: 10, // This will be called for each crawled page callback: (error, res, done) => { if (error) { console.log(error); } else { const $ = res.$; // $ is Cheerio by default //a lean implementation of core jQuery designed specifically for the server console.log($('title').text()); } done(); } }); // Queue just one URL, with default callback c.queue('http://www.amazon.com'); // Queue a list of URLs c.queue(['http://www.google.com/','http://www.yahoo.com']); // Queue URLs with custom callbacks & parameters c.queue([{ uri: 'http://parishackers.org/', jQuery: false, // The global callback won't be called callback: (error, res, done) => { if (error) { console.log(error); } else { console.log('Grabbed', res.body.length, 'bytes'); } done(); } }]); // Queue some HTML code directly without grabbing (mostly for tests) c.queue([{ html: '

This is a test

' }]); ```
```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"] ) ```

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