Method and system for realizing hotel price monitoring based on browser plug-in, and medium
Through the hotel price monitoring method based on browser plug-in, the problems of low automation and low efficiency in the existing technology are solved, automated monitoring and real-time price abnormality judgment are realized, and the accuracy and efficiency of monitoring are improved.
CN119718470APending Publication Date: 2025-03-28CCIC MEIYA (XIAMEN) TECH CO LTD
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Patent Information
- Application Number
- CN202411887881.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-20
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
The existing hotel price monitoring technology has low degree of automation and low efficiency, which leads to cumbersome manual operations, prone to price record deviations, and the inability to monitor price abnormalities in real time.
Method used
Using a browser plug-in-based method, the configuration file is generated by setting monitoring information, the hotel room type information is automatically obtained and parsed, the price fluctuations are compared, the price abnormality is judged, and the evidence is automatically generated by screenshots.
Benefits of technology
It improves the automation and efficiency of hotel price monitoring, reduces manual errors, enhances the accuracy and real-timeness of monitoring, and reduces labor costs.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a hotel price monitoring method based on a browser plug-in. S10, monitoring information is set to generate a configuration file, and the monitoring information at least comprises a to-be-monitored hotel reservation platform name, a hotel ID, a room type and a monitoring date; s20, acquiring a reference price and a price floating standard of at least one room type of the hotel; s30, starting a browser plug-in, generating an access link according to the monitoring information, and accessing the link through a browser; s40, obtaining and analyzing hotel room type information in the webpage to obtain an analysis result; s50, comparing the current price with the reference price of the same room type, and judging whether the hotel price is abnormal or not according to a price floating standard; if yes, S60 is executed, and if not, S70 is executed; s60, the screens are captured in sequence according to the size of the interface, and original webpage pictures are generated through splicing; and S70, repeating the steps S30 to S50 until the task to be monitored is completed.
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