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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
When you engage with a web page, Screenster captures your interactions seamlessly. There’s no need for coding, referencing element IDs, or inserting checks and assertions. After recording your test, you can rerun it while allowing Screenster to enhance its performance. It automatically identifies parameters, and self-healing selectors are saved for every action taken. You can review and approve any alterations to the baseline, updating the default state of the user interface as needed. Additionally, you have the option to exclude specific UI elements from the comparison process. Forget about browser plugins, desktop installations, or complicated manuals; just enter a URL for a Screenster server and start your experience. Screenster is adept at detecting both visual and content modifications, utilizing advanced algorithms to compare test outcomes against the baseline and identify new, removed, or modified elements. Its intelligent selectors can effortlessly track moved or altered page components. Furthermore, Screenster intelligently adjusts timeouts and employs AI to determine the optimal moment to proceed to the next action. You can choose to execute your tests on our cloud platform or opt to download and install Screenster Server locally for on-premise use. Not only does Screenster simplify the testing process, but it also enhances efficiency and accuracy, making it an invaluable tool for developers and testers alike.
API Access
Has API
API Access
Has API
Integrations
Python
Travis CI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$100.00/month/user
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
Screenster
Founded
2016
Country
United States
Website
screenster.io
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
Functional Testing
Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
