Website Crawling With HTTP Header Masking Against Bot Detection

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Solution Overview

Problem

Existing website crawling methods are hindered by bot detection systems that restrict data collection by identifying automated crawlers as non-human entities, leading to blocked access and Captcha challenges.

Innovation Solution

A method involving modifying HTTP request headers, using proxy servers with dynamic IPs, and employing artificial intelligence to solve Captchas, mimicking human browsing patterns and interactions to bypass bot detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated crawling is performed to collect website data efficiently, then productivity is improved, but bot detection systems identify the crawler and block access

Engineering Contradiction:

Improvewebsite data collection efficiencyVSAvoidaccess reliability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent uses proxy servers as intermediaries between the crawler and target websites. The proxy server masks the crawler's identity by forwarding requests, allowing the crawler to bypass bot detection systems while maintaining automated data collection efficiency

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent modifies HTTP request headers to copy the appearance of legitimate user requests. By altering identification fields in request messages to match human browsing patterns, the crawler presents itself as a normal user, avoiding detection while maintaining automated operation

Inventive Principle:

Principle #26Copying

2Object-affected harmful factors

If bot detection systems are implemented to identify automated crawlers, then website security is improved, but legitimate data collection is hindered

Engineering Contradiction:

Improvebot detection capabilityVSAvoiddata collection capability

Core Design Contradiction:

Object-affected harmful factorsVSProductivity

Solution Approach 1:

The patent dynamically modifies request headers and uses rotating proxy servers to change the apparent identity of the crawler with each request. This dynamic behavior mimics human browsing patterns where users change networks and devices, allowing legitimate data collection to continue despite sophisticated bot detection

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes various parameters of HTTP requests including header fields, IP addresses through proxy rotation, and timing patterns. By modifying these parameters to match human behavior ranges, the system bypasses bot detection while maintaining automated data collection productivity

Inventive Principle:

Principle #35Parameter changes

3Reliability

If Captcha challenges are used to verify human users, then access security is improved, but automated crawling is blocked

Engineering Contradiction:

Improveuser verification reliabilityVSAvoidcrawling speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual human interaction with Captcha solving (mechanical system) with automated AI-based image recognition and solving systems. This substitution allows the crawler to automatically solve Captcha challenges without human intervention, maintaining both security verification and automated crawling productivity

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12455926B2Method of crawling website by bypassing bot detection

Publication Date: 2025.10.28 S2W INC

AI summary

The present disclosure relates to a method of crawling a website by a terminal. The method may include a method of crawling a website by a terminal including: modifying a header included in a hypertext transfer protocol (HTTP) request message to avoid bot detection; transmitting the HTTP request message to a client server through a proxy server providing a dynamic Internet protocol (IP); receiving a response message for accessing the website from the client server; collecting a tag for confirming an element displayed on a user screen in the response message; and performing the crawling based on the confirmation result.