Data Extraction in Python – Aspose.HTML for Python via .NET
Web data extraction, also referred to as web harvesting, involves retrieving specific information from websites. This process is often automated with specialized software to extract data according to predefined criteria efficiently. With the Aspose.HTML Python library, you can develop custom applications for data extraction from HTML documents with ease. The API offers a robust set of tools designed for analyzing and collecting data, making it highly effective for various extraction needs. Data selectors are key to this process, as they are crucial for identifying and processing the desired data within the HTML content. These selectors typically include 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 Python via .NET API.
- HTML Navigation – In this article, you will learn how to perform a detailed inspection of the HTML document and its elements using Aspose.HTML for Python via .NET and how to navigate over the document by using CSS Selector or XPath.
- Save Files From URL – In this article, you will look at how to save files from URLs using Aspose.HTML for Python via .NET API.
- Extract Images From Website – In this article, you will look at how to extract various types of images from websites using Python API.
- Extract SVG From Website – In this article, you learn how to download SVG from website. Consider Python examples to automate extracting inline and external SVG from any website.
Aspose.HTML provides a set of HTML Web Applications, which includes a wide range of free tools designed for various web tasks. These applications cover converters, mergers, SEO tools, HTML code generators, URL tools, web accessibility checkers, and more, offering comprehensive solutions for managing HTML content. Use this collection to streamline your workflow and increase productivity when managing and analyzing HTML content.
