untanglevsscrapling
untangle is a simple library for parsing XML documents in Python. It allows you to access data in an XML file as if it were a Python object, making it easy to work with the data in your code.
To use untangle, you first need to install it via pip by running pip install untangle``.
Once it is installed, you can use theuntangle.parse()`` function to parse an XML file and create a Python object.
For example: ``` import untangle
obj = untangle.parse("example.xml") print(obj.root.element.child) ```
You can also pass a file-like object or a string containing XML data to the untangle.parse() function. Once you have an untangle object, you can access elements in the XML document using dot notation.
You can also access the attributes of an element by using attrib property, eg. `obj.root.element['attrib_name']`` untangle also supports xpath-like syntax to access the elements, obj.root.xpath("path/to/element")
It also supports iteration over the elements using obj.root.element.children
python
for child in obj.root.element.children:
print(child)
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.