PageAssess

You can classify web pages as articles or indexes by analyzing content heuristics and link density. This deterministic approach categorizes pages without LLM calls, helping prioritize content for web scraping and data mining workflows.

Extracting article links from an index page involves analyzing the page's links and filtering them based on your specified topic. This ensures you only extract and mine links directly relevant to your target subject matter.

Yes, you can analyze web page content without using LLM calls by applying deterministic heuristics and link density analysis. This approach extracts prose and word counts to classify pages, avoiding the latency and cost of large language models.

The best way to find articles on a news section page is to classify the URL as an index, then extract and filter its links by topic. This isolates individual article URLs from the listing page for targeted content mining.

Web page classification handles mixed content pages by evaluating the balance between prose text and link density. It identifies mixed pages, extracting available prose and relevant article links simultaneously for comprehensive data mining.