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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 AgentQL?

Forget the limitations of unreliable XPath or DOM selectors; AgentQL utilizes AI technology to accurately identify elements, effortlessly adapting to any modifications on websites. By leveraging natural language, you can specify the exact elements you need based on their significance instead of depending on fragile coding structures. This innovative tool offers results customized to your requirements while ensuring reliable performance for consistent results. To embark on your journey, download our Chrome extension, which facilitates a seamless web scraping experience. Extracting data from a multitude of websites becomes effortless, and you can enhance your security with a personalized API key, allowing you to harness the full potential of AgentQL while protecting your applications. Start by crafting your first query, a simple approach to define the data or web elements you wish to gather. Furthermore, explore the AgentQL SDK, which empowers you to automate tasks with ease. This potent combination enables you to swiftly collect essential data, greatly improving your analytics and insights. With AgentQL, revolutionizing your interaction with web data is more accessible than ever, making it an essential asset for any professional focused on data-driven decision-making. Embrace the future of web data extraction and unlock new possibilities for your projects.

Media

Media

Integrations Supported

Python
Travis CI

Integrations Supported

Broxi AI
Google Chrome
Incredible

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$99 per month
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Python Software Foundation

Company Location

United States

Company Website

pypi.org/project/parsel/

Company Facts

Organization Name

AgentQL

Company Website

www.agentql.com

Categories and Features

Component Libraries

Not specified

Categories and Features

AI Web Scrapers

Not specified

Data Extraction

Not specified

Web Scraping

Not specified

Web Scraping APIs

Not specified

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