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scraplingvsxml2

BSD-3-Clause 7 2 36,206
397.4 thousand (month) Aug 01 2024 0.4.5(2026-04-07 04:22:27 ago)
223 4 64 MIT
Apr 20 2015 968.5 thousand (month) 1.5.2(2025-12-01 15:40:00 ago)

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.

The xml2 package is a binding to libxml2, making it easy to work with HTML and XML from R. The API is somewhat inspired by jQuery.

xml2 can be used to parse HTML documents using XPath selectors and is a successor to R's XML package with a few improvements:

  • xml2 takes care of memory management for you. It will automatically free the memory used by an XML document as soon as the last reference to it goes away.
  • xml2 has a very simple class hierarchy so don't need to think about exactly what type of object you have, xml2 will just do the right thing.
  • More convenient handling of namespaces in Xpath expressions - see xml_ns() and xml_ns_strip() to get started.

Highlights


css-selectorsxpathfastpopular

Example Use


```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) ```
```r library("xml2") x <- read_xml(" text ") x xml_name(x) xml_children(x) xml_text(x) xml_find_all(x, ".//baz") h <- read_html("

Hi !") h xml_name(h) ```

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