Data Extraction – Extract images, SVGs and files from the Web in Java
Automate Web Data Extraction with Java!
Data extraction, also known as web data scraping or web harvesting, is necessary to collect valuable information from websites. With Aspose.HTML for Java, you can easily create your own data extraction applications that suit your specific needs, as our robust API provides a powerful set of tools for parsing and collecting information from HTML documents. An important part of every extractor is the data selectors that are used to find the data you want to extract from the HTML file – usually, XPath, CSS selectors, or both.
Data Extraction section describes how to inspect, capture and extract data from the web pages automatically using Aspose.HTML for Java API.
HTML Navigation – In this article, you will learn how to navigate through an HTML document and perform a detailed inspection of its elements using the Aspose.HTML for Java API.
Save a Website or Web Page – This article demonstrates how to save a website as HTML using Java and customize the process to either save the entire site or just a single web page.
Save Files From URL – In this article, we will look at how to save files from URLs using Aspose.HTML for Java API.
Extract Images From Website – In this article, we will explore how to extract different types of images, including regular images and icons, from websites using the Aspose.HTML for Java API.
Extract SVG From Website – In this article, you will learn how to download SVG from a website. We will explore how to automate the extraction of both inline and external SVG files with practical Java examples.
Aspose.HTML offers AI Keyword Extractor, an AI-powered tool for extracting keywords from web pages, plain text, or files. This app helps you quickly identify key topics and trends for website optimization, competitor analysis, or summarizing large documents. Simply paste the text or URL, select the settings, and click “Extract” to get accurate, meaningful keywords in seconds. Ideal for improving search engine visibility, content targeting, and data-driven decision making.
