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What is parsel?

Parsel is a Python library that is distributed under the BSD license, designed to simplify the process of extracting and manipulating data from HTML and XML documents by utilizing XPath and CSS selectors, with the added flexibility of incorporating regular expressions. To get started, one must create a selector object that targets the specific HTML or XML content for analysis. Once this is established, users can leverage either CSS or XPath expressions to pinpoint the desired elements. CSS acts as a styling language for HTML, offering selectors that connect styles to specific HTML elements, while XPath is employed to choose nodes within XML documents and can also be effectively used with HTML. While both CSS and XPath are viable options, CSS generally offers improved readability, whereas XPath possesses functionalities that may not be attainable through CSS alone. Built upon the lxml library, parsel selectors include certain EXSLT extensions and come equipped with pre-registered namespaces for use in XPath queries. Additionally, parsel selectors facilitate the chaining of selectors, allowing users to primarily select elements by class with CSS and seamlessly switch to XPath when necessary, thereby providing enhanced flexibility in data extraction tasks. This combination of features renders parsel an invaluable resource for developers engaged in web data manipulation. Moreover, the ability to toggle between two powerful selection methods ensures that users can optimize their data extraction strategies according to the complexity of their tasks.

What is Agilitest?

Functional specialists are now empowered to independently create and implement automated tests without depending on developers. The Agilitest platform has been expertly designed for peak efficiency, providing a seamless user experience. Crafting automated tests has become incredibly straightforward and user-friendly. In a significant advancement, we have removed the reliance on Xpaths, introducing a more robust method for pinpointing components essential for test execution. This innovative capture system boosts the durability of tests against alterations in software code. Maintaining automated tests has also been streamlined, making it remarkably quick and straightforward. Agilitest accommodates various channels, allowing for the development of a wide range of scenarios that can be tested in diverse environments, and it also supports the creation of complex, realistic scenarios that integrate multiple applications and technologies for comprehensive testing. Moreover, users are equipped to design and execute sophisticated cross-channel test scenarios, while they can also analyze test outcomes through an internal web service result viewer, simplifying the process of evaluating performance and identifying issues. This thorough approach guarantees that users can effectively conduct testing in an ever-evolving software environment, adapting to the rapid pace of technological changes.

Media

Media

Integrations Supported

Python
Travis CI

Integrations Supported

Genymotion
Google Chrome
Microsoft Edge
Mozilla Firefox
Opera

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Python Software Foundation

Company Location

United States

Company Website

pypi.org/project/parsel/

Company Facts

Organization Name

Agilitest

Company Location

France

Company Website

www.agilitest.com/product

Categories and Features

Component Libraries

Not specified

Categories and Features

Automated Testing

Not specified

Functional Testing

Not specified

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