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features
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support

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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

Stop writing brittle test with hard-coded CSS, waits, and XPATH selectors. Make your tests meaningful, easy to maintain, and reusable. This is because writing tests with hard-coded CSS or XPATH selectors is similar to pouring concrete on a specific UI implementation. This creates high-maintenance tests which break at the most minor changes to the UI and is difficult for humans to understand. UI-licious uses dynamic codes analysis to analyze the structure of your website. This is done using ARIA accessibility attributes and semantic HTML. It also examines the context of previous commands to determine which element should be targeted for each command. This means that even if HTML code for the UI is changed underneath the code, the test will still be valid as long the user's journey remains the same. Your website does not have to be perfect for UI-licious work.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Travis CI Yes 
CircleCI No 
CodeShip No 
GitLab No 
Gmail No 
Google Chrome No 
Jenkins No 
Microsoft Edge No 
Microsoft Teams No 
Mozilla Firefox No 
Python Yes 
Safari No 
Slack No 

Integrations

Travis CI Yes 
CircleCI Yes 
CodeShip Yes 
GitLab Yes 
Gmail Yes 
Google Chrome Yes 
Jenkins Yes 
Microsoft Edge Yes 
Microsoft Teams Yes 
Mozilla Firefox Yes 
Python No 
Safari Yes 
Slack Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$90 per month
Billed annually
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Python Software Foundation

Country

United States

Website

pypi.org/project/parsel/

Vendor Details

Company Name

Uilicious

Founded

2016

Country

Singapore

Website

uilicious.com

Product Features

Product Features

Automated Testing

Hierarchical View No 
Move & Copy No 
Parameterized Testing No 
Requirements-Based Testing No 
Security Testing No 
Supports Parallel Execution No 
Test Script Reviews No 
Unicode Compliance No 

Software Testing

Automated Testing No 
Black-Box Testing No 
Dynamic Testing No 
Issue Tracking No 
Manual Testing No 
Quality Assurance Planning No 
Reporting / Analytics No 
Static Testing No 
Test Case Management No 
Variable Testing Methods No 
White-Box Testing No 

Alternatives

Alternatives

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