Automated Web Portal Data Scraping and Verification
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Solution Overview
Problem
Companies face challenges in efficiently accessing and verifying invoices from diverse web portals, which are often complex and require manual navigation, leading to errors and time-consuming processes, especially when uploading and validating data within tight time windows.
Innovation Solution
A system and method for intelligently scraping data from web portals using webpage-specific scripts that adapt to non-uniform formats, automate data gathering, and validate information against local databases, reducing human errors and increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual navigation and verification of web portals is performed, then data can be accessed and verified, but the process is time-consuming and error-prone
Solution Approach 1:
The system performs self-service by automatically navigating web portals, extracting data, and verifying information without human intervention. The automated bot independently completes tasks that would otherwise require manual user actions, thereby eliminating human errors and significantly reducing processing time while maintaining high reliability through systematic verification procedures
Solution Approach 2:
The patent replaces the mechanical manual process of navigating and verifying web portal data with an automated computational system. The bot uses programmed logic and algorithms to perform data extraction and verification tasks, substituting human manual operations with automated digital processes that are both faster and more reliable
2Adaptability or versatility
If complex web portals with non-uniform formats are manually processed, then diverse data sources can be accessed, but the complexity of navigation and verification increases
Solution Approach 1:
The system implements universality by designing a multi-functional bot capable of adapting to various web portal formats and structures. The bot can handle different data layouts, navigation patterns, and verification requirements across multiple diverse portals through a single unified platform, eliminating the need for separate manual processing procedures for each portal type
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting the bot's behavior and extraction parameters based on the specific characteristics of each web portal encountered. The system modifies its navigation strategy, data extraction patterns, and verification procedures according to the detected portal format, thereby handling diversity without increasing operational complexity
3Productivity
If data is manually uploaded within tight time windows, then invoice registration requirements are met, but the risk of missing deadlines increases
Solution Approach 1:
The system performs preliminary actions by automatically gathering, verifying, and preparing data for upload before the deadline arrives. The bot proactively completes all necessary data extraction and validation tasks in advance, ensuring that data is ready for immediate upload when the time window opens, thereby eliminating the risk of missing deadlines while maintaining high submission speed
Data Source
AI summary
A server computer system for parsing non-uniformly presented data from a variety of unique non-uniform third-party web portals can comprise a scripting processor configured to automatically execute a web-portal specific script for each of the one or more third-party web portals accessed by a network communication device. Each of the web-portal specific scripts can be configured to imitate inputs from a user input device and to automatically adapt interactions with each of the one or more third-party web portals to access and parse data elements from one or more non-uniformly available data fields. Further, the server computer system can comprise a database processor configured to compare a first set of data received from the one or more non-uniformly available data fields with a second set of data, which is stored within the local database device.