Web Browser Module for Structured Data Collection and Comparison
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Solution Overview
Problem
Users face inefficiencies when comparing and managing multiple online items, such as apartment listings, as they typically require manual processes like printing and pasting data into documents or manually accessing saved links, lacking a streamlined way to view and organize structured data from various web sources.
Innovation Solution
A web browser module that utilizes structured data within web pages to enable users to create collections, providing a full-page viewing experience, multiple selectable views, and custom views, allowing users to organize and interact with links in a flexible and efficient manner, including searching and flagging items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually print and paste apartment listings into documents, then they can organize and compare data, but the process becomes very manual and time-consuming
Solution Approach 1:
The patent replaces manual mechanical operations (printing, cutting, pasting) with automated computer-based processing. The system automatically extracts structured data from web pages using parsing techniques, transforms the data into standardized formats, and populates comparison tables without user intervention, thereby eliminating the manual mechanical process while maintaining data organization capabilities
Solution Approach 2:
The system enables self-service by automatically performing data extraction, transformation, and organization tasks that would otherwise require manual user input. The web browser application autonomously navigates to specified URLs, extracts relevant information using structured data parsing, and presents organized comparison results, allowing users to simply specify parameters and receive processed outcomes
2Adaptability or versatility
If users save apartment pages in favorites lists, then they can store multiple links, but reviewing selections requires manually accessing each link in serial fashion
Solution Approach 1:
The patent merges multiple separate apartment listing pages into a single unified comparison view. Instead of requiring users to visit each favorites link separately, the system extracts data from all saved listings and consolidates them into one comprehensive table that displays key attributes side-by-side, enabling simultaneous review of multiple properties in a single interface
Solution Approach 2:
The patent transitions from linear serial access (one link at a time) to a two-dimensional matrix view where multiple listings are displayed simultaneously in a tabular format. This dimensional change allows users to compare properties across multiple attributes at once, transforming the review process from sequential to parallel
3Loss of information
If users manually access each saved link to review apartments, then they can view details, but the process is onerous and inefficient
Solution Approach 1:
The patent extracts only the essential comparison data from full apartment listing pages, pulling out key attributes such as price, location, bedrooms, bathrooms, and square footage. This extraction creates a condensed comparison view that provides all necessary information for decision-making without requiring users to navigate through complete property descriptions, thereby maintaining information accessibility while dramatically improving review efficiency
Data Source
AI summary
Various embodiments utilize structured data contained within a resource, such as a web page, to enable a user to define collections of data. Individual constituent parts of a collection or “links” are collected within a collection. In one or more embodiments, a full page viewing experience can be provided which enables users to not only view more details for a given link, but to view multiple different links at a time. Other viewing options and collection interactions are provided.