Data Extraction from HTML in Python

Extract Data and Resources from Web Pages

Web pages often contain structured data, embedded media, SVG graphics, and linked resources that need to be collected for reporting, archiving, migration, or automation. With Aspose.HTML for Python via .NET , developers can load HTML from a file or URL, inspect the document tree, find the required elements, resolve resource links, and save extracted content locally.

The API works with HTML documents through a DOM model, so Python code can query tables, images, SVG elements, anchors, and other nodes before exporting the selected data. This makes the library useful for controlled web scraping tasks, content extraction pipelines, and automated processing of HTML-based documents.

How HTML Data Extraction Works

A typical extraction workflow starts by loading an HTML document with HTMLDocument. Then you select elements by tag name, CSS selector, or DOM navigation, read attributes such as src or href, and write the extracted content or downloaded resources to an output folder. For remote files, resolve relative URLs against the document base URI before sending network requests.

import os
import aspose.html as ah

output_dir = "output/"
os.makedirs(output_dir, exist_ok=True)

with ah.HTMLDocument("https://docs.aspose.com/html/python-net/") as document:
    links = document.get_elements_by_tag_name("a")
    output_file = os.path.join(output_dir, "links.txt")

    with open(output_file, "w", encoding="utf-8") as file:
        for link in links:
            href = link.get_attribute("href")
            if href:
                file.write(href + "\n")

Steps to Extract Data from HTML

1. Load an HTML document from a file or URL using the HTMLDocument class.
2. Select the required elements, such as links, tables, images, or SVG nodes.
3. Read element attributes or markup, for example href, src, or outer_html.
4. Resolve URLs when the extracted resource is referenced by a relative path.
5. Save the extracted data or downloaded resources to an output folder.

Use these Python examples to automate common extraction workflows:

• Extract tables from web pages and save each table as a separate HTML file for analysis or reuse.
• Extract images from web pages by collecting image sources, resolving URLs, and downloading image files.
• Extract SVG from websites including inline SVG markup and linked SVG resources.
• Save files from URLs when a page references downloadable resources that should be stored locally.

Get Started with Aspose.HTML for Python via .NET

If you want to parse, manipulate, and manage HTML documents, install our flexible, high-speed Aspose.HTML for Python via .NET API. The easiest way to download and install it is with pip. To do this, run the following command:

pip install aspose-html-net

For more details about Python library installation and system requirements, please refer to Aspose.HTML for Python via .NET Documentation .