Tag Inspection System Automates Web Crawler Analysis
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Solution Overview
Problem
Existing methods for inspecting and managing tags in web pages are inefficient, particularly in identifying and analyzing marketing and analytic tags, as they require manual effort and struggle with detecting piggybacking tags, leading to difficulties in comprehensive tag management and monitoring.
Innovation Solution
A tag inspection system comprising a user interface module, a tag inspector module, and a web crawler module that automates the identification, analysis, and reporting of tags on web pages, including real-time monitoring and visualization of tag performance, using configuration rules and data storage to generate reports on tag usage and health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used for inspecting and managing tags in web pages, then simplicity of implementation is maintained, but productivity and measurement precision deteriorate due to inefficiency and inability to detect piggybacking tags
Solution Approach 1:
The tag inspection system is divided into distinct functional modules: a web crawler module for accessing web pages, a tag inspector module for analyzing tags, and a user interface module for configuration and reporting. This segmentation allows each module to specialize in specific tasks, improving overall inspection efficiency while keeping individual module complexities manageable.
Solution Approach 2:
The tag inspector module acts as an intermediary between the web crawler and the analysis system. It receives web pages from the crawler, processes tags through systematic inspection, and passes structured data to the reporting system. This intermediary layer enables automated detection of piggybacking tags and improves measurement precision without requiring direct complex interactions between all system components.
2Measurement precision
If comprehensive tag analysis is performed to detect all tags including piggybacking tags, then measurement precision and reliability improve, but loss of time and computational resources increase
Solution Approach 1:
The web crawler module pre-loads and stores web pages before tag inspection begins. This preliminary action ensures that all necessary web content is readily available when the tag inspector needs to analyze tags, eliminating delays during the actual inspection process and enabling comprehensive tag detection without time loss.
Solution Approach 2:
The tag inspector module continuously processes tags as they are encountered during web page crawling, rather than pausing to analyze each tag individually. This continuous inspection approach maintains measurement precision for detecting piggybacking tags while minimizing inspection time by keeping the analysis workflow uninterrupted and efficient.
Data Source
AI summary
Technologies for identifying and inspecting web page tags include a tag inspection system. The tag inspection system receives configuration information, which includes a seed uniform resource locator. The tag inspection system accesses a web page corresponding to the seed uniform resource locator. A tag of the web page is invoked by the tag inspection system. Tag execution data is received in response to invocation of the tag of the web page. The received tag execution data is analyzed by the tag inspection system. A report is generated based on the analysis of the received tag execution data. Other embodiments are described and claimed.