Web Scraping Request Enrichment via Browsing Profiles
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Solution Overview
Problem
Web scraping technologies face challenges in evading detection and blocking by websites, which restrict data access through methods like IP address tracking and fingerprinting, making it difficult to obtain desired data while mimicking human-like browsing behavior.
Innovation Solution
The method involves enriching web scraping requests with browsing profile parameters that simulate human-like behavior by incorporating static and dynamic attributes, such as location, TLS capabilities, and browsing history, to create a rich browsing profile that adapts to the target data and website, thereby avoiding detection and blocking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If web scraping requests are made with basic parameters only, then the scraping process is simple and fast, but the requests are easily detected and blocked by websites
Solution Approach 1:
The patent applies parameter changes by dynamically modifying multiple request parameters including User-Agent strings, Accept headers, Cookie values, and TLS fingerprints to match human browsing behavior patterns. This transformation of basic requests into enriched profiles with varied parameters enables the scraper to evade detection while maintaining operational simplicity through automated parameter generation.
Solution Approach 2:
The system implements dynamics by creating a dynamic request enrichment mechanism that adapts parameters based on target website characteristics and browsing context. The browsing profile generator dynamically selects and modifies parameters such as language settings, timezone, device type, and browser version to match the specific target site's expectations, making the scraping system responsive and flexible rather than static.
2Adaptability or versatility
If browsing profile parameters are enriched to simulate human behavior, then detection and blocking are avoided, but the request processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-generating and storing browsing profiles with various parameter combinations before actual scraping operations. The system pre-creates profiles representing different user types, devices, and browsing patterns, then selects appropriate profiles for each scraping task rather than generating them in real-time, significantly reducing processing complexity while maintaining high adaptability.
Solution Approach 2:
The system implements copying by creating synthetic browsing profiles that replicate human browsing characteristics. These profiles copy various aspects of real user behavior including parameter combinations, header patterns, and navigation sequences, allowing the scraper to mimic human users without actually interacting with them, thus reducing computational complexity while maintaining behavioral realism.
3Productivity
If multiple browsing profiles are used to avoid blocking, then data collection success rate improves, but the system complexity and resource consumption increase
Solution Approach 1:
The patent applies segmentation by dividing the browsing profile space into distinct segments or categories (e.g., by device type, location, language, browser version). The system manages multiple segmented profiles organically through structured classification, allowing selective application of appropriate segments based on target website characteristics without managing all possible profile combinations simultaneously, thus reducing overall system complexity.
Solution Approach 2:
The system implements universality by designing a multi-functional browsing profile framework that serves multiple purposes: profile selection, parameter generation, behavior simulation, and anti-detection. This unified approach consolidates what would otherwise be separate systems into a single versatile profile management mechanism, reducing redundancy and overall complexity while maintaining high productivity.
Data Source
AI summary
Systems and methods of task implementation are extended as provided herein and target the web crawling process through a step of submitting a request by a customer to a web crawler. The systems and methods allow a request for a web crawler to be enriched with a customized browsing profile in order to be categorized as an organic human user to obtain targeted content. In one aspect, a method for data extraction and gathering from a Network by a Service provider infrastructure include at least some of the following exemplary steps: receiving and examining the parameters of a request received from a User's Device, enriching the request parameters with a pre-established browsing profile, sending the enriched request to a Target through the selected Proxy, receiving a response from the Target, dissecting the response's metadata that is appropriate for updating the browsing profile utilized for the request, and forwarding the data to the User's device pursuant to the examination of the response obtained from the Target system.