This Python project is a schema scraper that retrieves structured data (schema.org) from a webpage using requests and BeautifulSoup. It fetches the page content, parses it, and extracts schema data in JSON-LD and Microdata formats, helping to analyze the structured data of any webpage.
JSON-LD Schema: Extracted by looking for <script type="application/ld+json">. Microdata Schema: Identified by HTML attributes like itemscope, itemprop.
The script fetches the HTML content from the provided URL. It uses BeautifulSoup to parse the page. It looks for schema data in two formats: JSON-LD and Microdata. Extracted schema information is returned in a structured format for easy reading or further processing.
Run the script and pass any webpage URL containing structured data (schema) as input. The script will print the JSON-LD and Microdata schema extracted from the page. This approach can be expanded by adding more error handling, output formatting, or even saving the schema data to a file for analysis later.