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dudevsscrapling

AGPL-3.0 32 2 425
54 (month) Feb 20 2022 0.1.3(2023-08-01 20:28:33 ago)
36,206 2 7 BSD-3-Clause
Aug 01 2024 397.4 thousand (month) 0.4.5(2026-04-07 04:22:27 ago)

Dude (dude uncomplicated data extraction) is a very simple framework for writing web scrapers using Python decorators. The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax.

The simplest web scraper will look like this: ```python from dude import select

@select(css="a") def get_link(element): return {"url": element.get_attribute("href")} ```

dude supports multiple parser backends: - playwright
- lxml
- parsel - beautifulsoup - pyppeteer - selenium

Scrapling is an adaptive web scraping framework for Python that introduces "self-healing" selectors — selectors that can track and find elements even when the website's DOM structure changes. This solves one of the biggest maintenance headaches in web scraping: broken selectors after website updates.

Key features include:

  • Self-healing selectors Scrapling uses smart element matching that can identify target elements even after the page structure changes. It builds a fingerprint of the element based on multiple attributes (text, position, siblings, attributes) and uses fuzzy matching to relocate it.
  • Multiple parsing backends Supports different parsing engines including lxml (fast) and a custom engine, allowing you to choose the right balance of speed and features.
  • Scrapy-like Spider API Provides a familiar Spider class pattern for organizing crawling logic, similar to Scrapy but with the added benefit of adaptive selectors.
  • CSS and XPath selectors Full support for CSS selectors and XPath, plus the adaptive matching system on top.
  • Type hints and modern Python Built with full type annotations and 92% test coverage for reliability.
  • Async support Supports asynchronous crawling for efficient concurrent scraping.

Scrapling gained massive traction in 2025 as one of the most starred new Python scraping libraries. It is particularly useful for scraping targets that frequently update their HTML structure, where traditional selector-based scrapers would break.

Highlights


css-selectorsxpathfastpopular

Example Use


```python from dude import select """ This example demonstrates how to use Parsel + async HTTPX To access an attribute, use: selector.attrib["href"] You can also access an attribute using the ::attr(name) pseudo-element, for example "a::attr(href)", then: selector.get() To get the text, use ::text pseudo-element, then: selector.get() """ @select(css="a.url", priority=2) async def result_url(selector): return {"url": selector.attrib["href"]} # Option to get url using ::attr(name) pseudo-element @select(css="a.url::attr(href)", priority=2) async def result_url2(selector): return {"url2": selector.get()} @select(css=".title::text", priority=1) async def result_title(selector): return {"title": selector.get()} @select(css=".description::text", priority=0) async def result_description(selector): return {"description": selector.get()} if __name__ == "__main__": import dude dude.run(urls=["https://dude.ron.sh"], parser="parsel") ```
```python from scrapling import Fetcher, StealthFetcher, PlayWrightFetcher # Simple fetching with adaptive parsing fetcher = Fetcher() page = fetcher.get("https://example.com/products") # CSS selectors work as expected products = page.css(".product-card") for product in products: name = product.css_first(".name").text() price = product.css_first(".price").text() print(f"{name}: {price}") # Adaptive selector - finds the element even if DOM changes # Uses element fingerprinting for resilient matching element = page.find("Product Title", auto_match=True) # Stealth fetching with anti-bot bypass stealth = StealthFetcher() page = stealth.get("https://protected-site.com") # Playwright-based fetching for JS-rendered pages pw = PlayWrightFetcher() page = pw.get("https://spa-example.com", headless=True) ```

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