scrapling
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
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) ```