Dynamic Web Interface Using Pre-Stored Visuals to Cut Scraping Load
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Solution Overview
Problem
Web scraping algorithms for extracting information from websites are resource-intensive and require significant processing power, which can be costly and inefficient.
Innovation Solution
A computing system that combines web-scraped content with stock images or videos from a database to generate dynamic user interfaces, reducing the need for extensive processing by supplementing or replacing scraped data with pre-stored visuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If web scraping algorithms are used to extract information from websites, then information can be obtained from third-party systems, but processing power and computing resources are significantly increased
Solution Approach 1:
The patent uses stock images and pre-stored visual content as copies or representations of actual third-party system visuals. Instead of scraping actual images from websites (which requires significant processing power), the system retrieves pre-existing stock images that represent the same category or subject matter, thereby reducing computational resource requirements while maintaining informational utility
Solution Approach 2:
The patent employs pre-stored stock content that can be quickly retrieved and displayed without requiring expensive, time-consuming web scraping operations. The system uses a database of pre-processed visual assets that can be rapidly accessed and replaced as needed, eliminating the need for continuous high-resource scraping operations
2Loss of information
If web scraping algorithms are used to extract information from websites, then information can be obtained from third-party systems, but computing resources are significantly increased
Solution Approach 1:
The system replaces complex web scraping operations with simple database queries for retrieving stock images. Instead of implementing sophisticated algorithms to parse, download, and process actual website images, the system uses pre-stored visual representations in a database that can be quickly retrieved through simple category-based queries, significantly reducing computing resource complexity
Solution Approach 2:
The patent performs the heavy lifting of image acquisition, processing, and categorization in advance during the preliminary action phase. Stock images are pre-downloaded, pre-processed, and pre-categorized in a database before they are needed for actual operations. This allows the main operation to simply be a quick database lookup and display, eliminating the need for complex real-time scraping operations
3Loss of information
If web scraping algorithms are used to extract information from websites, then information can be obtained from third-party systems, but processing time is significantly increased
Solution Approach 1:
The system performs all time-consuming image acquisition and processing operations in advance during the preliminary action phase. Stock images are pre-downloaded from various sources, pre-processed to ensure quality and consistency, and pre-organized in a database with appropriate categorization. This preliminary preparation allows the actual operational phase to simply involve quick database queries and image display, dramatically reducing processing time
Solution Approach 2:
The patent uses pre-stored stock images as copies that can be instantly retrieved and displayed without waiting for actual web scraping operations to complete. These pre-stored visual representations eliminate the time-consuming processes of network requests, image downloading, and real-time processing that would otherwise be required to obtain visual information from third-party websites
Data Source
AI summary
A computing system includes a processing circuit to receive a URL associated with a web page and a category type of a third party system; parse the web page to extract an audio or visual content item; determine the category type matches a category of a plurality of categories stored in a database; retrieve, from the database, at least one image or video associated with the category; receive a selection of a graphical representation of the third party system on a first graphical user interface (GUI) rendered by a user device; generate a second GUI including at least the extracted content item and the at least one image or video retrieved from the database; and transmit data corresponding to the second GUI for rendering on the user device.