scraplingvskimurai
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.
Kimurai is a modern web scraping framework for Ruby, inspired by Python's Scrapy. It provides a structured approach to building web scrapers with built-in support for multiple browser engines, session management, and data pipelines.
Key features include:
- Multiple engine support Can use different backends depending on the scraping needs: Mechanize for simple HTTP requests, Selenium with headless Chrome/Firefox for JavaScript-rendered pages, and Poltergeist (PhantomJS) for lightweight rendering.
- Scrapy-like architecture Follows the spider pattern: define a spider class with start URLs and parsing methods, and the framework handles crawling, scheduling, and data collection.
- Built-in data pipelines Save scraped data to JSON, CSV, or custom formats with configurable output pipelines.
- Session management Maintains browser sessions with automatic cookie handling and configurable delays between requests.
- Request scheduling Built-in request queue with configurable concurrency, delays, and retry logic.
- CLI tools Command-line tools for generating new spiders, running individual spiders, and managing scraping projects.
Kimurai is the closest Ruby equivalent to Scrapy. It's well-suited for structured scraping projects that need organization, multiple spiders, and data pipeline processing.
Note: Kimurai has not seen active development recently, but it remains a useful framework for Ruby scraping projects and is included as the most complete Ruby scraping framework available.