Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Parsel is a Python library licensed under BSD that facilitates the extraction and removal of data from HTML and XML documents using XPath and CSS selectors, with the option to integrate regular expressions. To begin, you create a selector object for the HTML or XML content you wish to analyze. After that, you can utilize either CSS or XPath expressions to target specific elements. CSS serves as a styling language for HTML, defining selectors that link styles to designated HTML elements, while XPath is utilized for selecting nodes within XML documents and can also be applied to HTML. Although both CSS and XPath can be used, CSS tends to offer greater readability, whereas XPath provides capabilities that may not be achievable through CSS alone. Built on top of lxml, parsel selectors incorporate some EXSLT extensions and come with pre-registered namespaces available for use in XPath queries. Furthermore, parsel selectors allow for the chaining of selectors, enabling users to primarily select by class using CSS and seamlessly transition to XPath when the situation demands it, enhancing flexibility in data extraction tasks. This dual capability makes parsel a powerful tool for developers working with web data.
Description
TestBooster.ai is an innovative test automation platform that harnesses the power of AI to facilitate the creation of automated tests for both web and mobile applications, enabling teams to write tests using natural language without the need for coding or selector manipulation. Users can articulate their testing requirements in straightforward English or Portuguese, while the intent-driven AI understands these directives and performs comprehensive tests across various environments. The platform intelligently adjusts to changes in layouts or UI components, which minimizes instances of broken tests and alleviates the upkeep typically associated with selector-driven tools. TestBooster accommodates a wide array of testing types, including regression, functional, usability, response time, API, code-based, web, and mobile testing, all within the context of continuous testing practices. Teams have the ability to monitor test executions live and gain access to extensive documentation that features screenshots, logs, results, and practical recommendations. In the event of a failure, it pinpoints the exact location of the issue and offers suggestions for improvement, empowering teams to analyze and refine their testing processes effectively. This comprehensive approach not only streamlines testing but also enhances overall quality assurance efforts across the board.
API Access
Has API
API Access
Has API
Integrations
Python
Travis CI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$0.16 per credit
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/parsel/
Vendor Details
Company Name
TestBooster.ai
Founded
2025
Country
United States
Website
www.testbooster.ai/
Product Features
Product Features
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance