web-scraper

To extract structured data from HTML pages, you can use CSS selectors or XPath queries to target specific DOM elements. This approach allows you to pull text and attributes from pages, tables, and lists, outputting the results as structured JSON for analytics tasks.

Scraping product prices and ratings from e-commerce pages is best handled by applying CSS selectors or XPath queries to the HTML DOM. This method collects titles, prices, and metadata across multiple pages, outputting structured JSON results for dashboards or tracking.

Yes, you can load URLs directly for web scraping and data extraction. The process requires a DOM parsing workflow where you provide a URL or raw HTML, apply the necessary CSS or XPath queries, and retrieve the extracted data as JSON.

DOM parsing works effectively for extracting content from multiple web pages by querying the HTML structure. By applying consistent CSS selectors or XPath expressions across different pages, you can aggregate content and metadata into a unified JSON output.

Using XPath or CSS selectors instead of manually parsing HTML eliminates manual coding errors and reduces effort. Querying the DOM directly provides a reliable way to extract specific text and attributes, ensuring accurate structured data output for downstream analytics.

Limitations of using CSS selectors for web data extraction include dependency on static HTML structure, meaning dynamic JavaScript-rendered content may not be captured. It requires a DOM parsing workflow and accurate selectors to successfully extract data into JSON.