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Apps using HtmlCleaner

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App Installs Publisher Publisher Email Publisher Social Publisher Website
161M ixigo - IRCTC Authorised Partner, Flight Tickets *****@ixigo.com
facebook twitter
https://www.ixigo.com/
96M Минцифры России *****@sc.minsvyaz.ru - https://www.gosuslugi.ru/feedback
78M New IT Solutions *****@4shared.com
facebook twitter
http://4shared.com/
76M Unacademy *****@graphy.com
linkedin twitter instagram
https://unacademy.com/
56M FirstCry.com *****@firstcry.com
linkedin facebook twitter instagram
http://www.firstcry.com/
52M Ayoba *****@ayoba.me - https://ayoba.me/web/
52M Billionbrains Garage Ventures Private Limited *****@groww.in
linkedin facebook twitter instagram
https://groww.in/
52M tap4fun *****@tap4fun.com
facebook twitter
http://invasion.tap4fun.com/
52M ALT Digital Media Entertainment Ltd *****@altdigital.in - https://altbalaji.com/
41M Points Culture *****@gmail.com - https://novelah.net/

Full list contains 49K apps using HtmlCleaner in the U.S, of which 43K are currently active and 29K have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is HtmlCleaner?

HtmlCleaner is a powerful and versatile open-source Java library designed to parse and clean HTML content. This robust SDK offers developers an efficient solution for handling malformed or poorly structured HTML documents, making it an essential tool for web scraping, content extraction, and HTML manipulation tasks. HtmlCleaner's primary function is to transform messy HTML into well-formed XML, allowing for easier processing and analysis of web content. One of the key features of HtmlCleaner is its ability to handle real-world HTML that may not conform to strict XML rules. It can deal with unclosed tags, missing attributes, and other common HTML irregularities that often cause problems for standard XML parsers. This makes HtmlCleaner particularly useful for working with web pages from various sources, where code quality and structure may vary significantly. The library provides a flexible and customizable API that allows developers to fine-tune the cleaning process according to their specific requirements. Users can configure tag and attribute rules, specify which elements should be preserved or removed, and define how certain structures should be transformed. This level of control enables developers to create tailored solutions for different types of HTML content and project needs. HtmlCleaner supports various output formats, including compact HTML, pretty-printed HTML, and XML. This versatility makes it easy to integrate the cleaned content into different workflows and applications. The library also offers serialization options, allowing developers to save the processed HTML for later use or further manipulation. Performance is a crucial aspect of HtmlCleaner, as it is designed to handle large volumes of HTML content efficiently. The library utilizes optimized parsing algorithms and memory management techniques to ensure fast processing speeds, even when dealing with complex or extensive HTML documents. This makes HtmlCleaner suitable for both small-scale projects and large-scale web scraping or content analysis tasks. Developers appreciate HtmlCleaner's ease of use and comprehensive documentation. The library comes with clear examples and tutorials, making it accessible for both experienced programmers and those new to HTML parsing. Its active community and regular updates ensure that the library stays current with evolving web standards and user needs. HtmlCleaner integrates seamlessly with other Java libraries and frameworks, allowing developers to incorporate it into existing projects or build new applications around its functionality. It can be easily combined with popular XML processing tools, such as XPath and DOM, to create powerful HTML manipulation and data extraction pipelines. The library's robustness and reliability have made it a popular choice among developers working on a wide range of applications, including web crawlers, content management systems, data mining tools, and automated testing frameworks. HtmlCleaner's ability to handle complex HTML structures and its configurable cleaning options make it particularly valuable for projects that involve processing user-generated content or scraping data from diverse web sources.

HtmlCleaner Key Features

  • HtmlCleaner is a powerful Java library designed to parse and clean HTML, making it an essential tool for web scraping, data extraction, and HTML manipulation tasks.
  • The library is capable of handling malformed HTML, automatically correcting common syntax errors and producing well-formed XML output.
  • HtmlCleaner supports a wide range of HTML versions, including HTML4, HTML5, and XHTML, ensuring compatibility with various web standards.
  • It offers a simple and intuitive API, allowing developers to easily integrate HTML cleaning and parsing functionality into their Java applications.
  • The library provides a flexible configuration system, enabling users to customize the cleaning process according to their specific requirements.
  • HtmlCleaner implements a DOM-like structure for parsed HTML, allowing easy traversal and manipulation of the document tree.
  • It offers various output formats, including compact HTML, pretty-printed HTML, and XML, catering to different use cases and preferences.
  • The library includes built-in support for CSS selectors, making it easy to locate and extract specific elements from the parsed HTML document.
  • HtmlCleaner provides robust handling of character encodings, automatically detecting and correctly processing different character sets.
  • It offers efficient memory usage and fast parsing capabilities, making it suitable for processing large volumes of HTML data.
  • The library includes support for preserving and manipulating HTML comments, which can be crucial for certain parsing and cleaning tasks.
  • HtmlCleaner allows for the removal of unwanted tags, attributes, and content, helping to sanitize and simplify HTML documents.
  • It provides options for handling conditional comments and other browser-specific markup, ensuring consistent cleaning across different platforms.
  • The library offers seamless integration with popular Java XML processing tools, such as JAXP and DOM4J, for advanced XML manipulation.
  • HtmlCleaner includes built-in support for handling common HTML entities, automatically converting them to their corresponding characters.
  • It provides options for preserving or removing whitespace and empty elements, allowing fine-grained control over the output structure.
  • The library offers robust error handling and reporting, providing detailed information about parsing issues and potential problems in the input HTML.
  • HtmlCleaner supports the transformation of HTML tables into more structured formats, facilitating data extraction from tabular content.
  • It includes features for handling and manipulating inline CSS styles, allowing for easy modification of element appearances.
  • The library provides options for normalizing HTML attribute values, ensuring consistency and improving the overall quality of the cleaned HTML.
  • HtmlCleaner offers support for custom tag and attribute filtering, enabling users to implement domain-specific cleaning rules and requirements.
  • It includes built-in protection against common security vulnerabilities, such as XSS attacks, by properly encoding and escaping potentially dangerous content.
  • The library provides options for handling and preserving HTML5 data attributes, ensuring compatibility with modern web applications and frameworks.
  • HtmlCleaner offers support for cleaning and manipulating HTML forms, including options for handling form inputs, select elements, and other interactive components.
  • It includes features for handling and preserving HTML metadata, such as meta tags and document type declarations, ensuring important information is retained during the cleaning process.

HtmlCleaner Use Cases

  • HtmlCleaner is a powerful Java library used for parsing and manipulating HTML documents, making it an essential tool for web scraping, data extraction, and content processing tasks. One common use case for HtmlCleaner is in web scraping applications where developers need to extract specific information from HTML pages. By using HtmlCleaner's parsing capabilities, developers can easily navigate through the HTML structure, locate desired elements, and extract relevant data such as product prices, article content, or user reviews from websites.
  • Another important use case for HtmlCleaner is in content management systems (CMS) and blog platforms. When users submit content that includes HTML markup, HtmlCleaner can be employed to sanitize and clean the input, removing potentially malicious or unwanted tags and attributes. This helps ensure that user-generated content is safe and consistent with the platform's formatting standards. Additionally, HtmlCleaner can be used to convert legacy HTML content to more modern and compliant formats, making it easier to maintain and display across different devices and browsers.
  • HtmlCleaner is also valuable in data migration and integration projects where HTML content needs to be transformed or normalized. For instance, when merging content from multiple sources or converting HTML to other formats like XML or plain text, HtmlCleaner can be used to parse the original HTML, remove unnecessary elements, and restructure the content as needed. This makes it easier to integrate data from various sources into a unified format or database. Furthermore, HtmlCleaner can be employed in search engine optimization (SEO) tools to analyze HTML structure, identify issues with meta tags, headings, and other SEO-relevant elements, and generate reports or suggestions for improvement.
  • In the field of natural language processing (NLP) and text analysis, HtmlCleaner serves as a preprocessing tool to extract clean text from HTML documents. By removing HTML tags, scripts, and other non-textual elements, researchers and data scientists can obtain pure textual content for further analysis, sentiment analysis, or machine learning tasks. This is particularly useful when working with large corpora of web-based text data, where the ability to quickly and accurately clean HTML is essential for downstream processing tasks.
  • HtmlCleaner is also utilized in web testing and quality assurance processes. Developers and QA engineers can use it to parse and analyze the HTML structure of web pages, ensuring that the rendered output matches the expected structure and content. This can be particularly helpful in automated testing scenarios where the HTML output needs to be verified against predefined criteria or compared to previous versions of the page. Additionally, HtmlCleaner can be used to generate test data by extracting specific elements or attributes from existing HTML pages, which can then be used to populate test cases or simulate user interactions.

Alternatives to HtmlCleaner

  • JSoup is a widely-used Java library for working with HTML. It provides a convenient API for extracting and manipulating data, using DOM, CSS, and jquery-like methods. JSoup is known for its robust parsing capabilities, ability to clean and sanitize HTML, and support for DOM traversal and manipulation. It can handle malformed HTML and offers methods to prevent XSS attacks.
  • Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work and is particularly useful for web scraping tasks. Beautiful Soup automatically converts incoming documents to Unicode and outgoing documents to UTF-8.
  • Nokogiri is a popular HTML, XML, SAX, and Reader parser for Ruby. It has the ability to search documents via XPath or CSS3 selectors. Nokogiri handles both HTML and XML with ease, offering a robust and feature-rich solution for parsing and manipulating markup languages. It's known for its speed and memory efficiency, making it a go-to choice for many Ruby developers working with web content.
  • Cheerio is a fast, flexible, and lean implementation of core jQuery designed specifically for the server. It provides a familiar syntax for parsing and manipulating HTML documents, making it easy for developers with jQuery experience to work with server-side HTML processing. Cheerio is particularly useful in Node.js applications for tasks like web scraping and content analysis.
  • lxml is a feature-rich and easy-to-use library for processing XML and HTML in Python. It's built on top of the libxml2 and libxslt libraries, combining the speed and feature completeness of these libraries with the simplicity of a native Python API. lxml is known for its performance, extensive feature set, and compatibility with the ElementTree API.
  • HTML Agility Pack is a popular .NET library for parsing HTML documents. It provides a convenient way to read and write DOM and supports plain XPATH or XSQL syntax. HTML Agility Pack is particularly useful when dealing with 'real-world' HTML that may not be well-formed or valid. It can load HTML from strings, files, or web resources and offers methods for manipulation and extraction.
  • Goquery is a little like that j-thing, only in Go. It brings a syntax and a set of features similar to jQuery to the Go language, making it easier for developers familiar with jQuery to work with HTML documents in Go programs. Goquery is built on top of the net/html package and the CSS Selector library cascadia, offering a powerful toolset for HTML parsing and manipulation in Go.
  • PHP Simple HTML DOM Parser is a lightweight PHP library that allows you to parse HTML with ease. It provides methods to find and extract content from HTML documents using selectors similar to jQuery. This library is particularly useful for web scraping tasks in PHP and can handle imperfect or malformed HTML. It offers a simple and intuitive API for traversing and manipulating HTML documents.
  • XML::LibXML is a Perl binding for libxml2, providing XML and HTML parsers with DOM, SAX and XMLReader interfaces. It is a highly efficient and feature-complete solution for parsing XML and HTML in Perl. XML::LibXML supports various standards including XML Namespaces, DOM Level 2, XPath 1.0, and more. It's known for its speed and compatibility with other XML tools.
  • Scrapy is an open-source and collaborative web crawling framework for Python. While not strictly an HTML parsing library, Scrapy provides powerful tools for extracting data from websites, including HTML parsing capabilities. It's designed for web scraping at scale and offers features like concurrent request processing, data pipelines, and built-in support for generating feed exports in multiple formats.

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