The Design And Implementation Of The Crawler System Of Internet Financial Company's Policy Plan

In the process of continuous development and strong development in China,inexorable advances in information technology have not been possible.The progress of the information industry has led to the rapid development of the Internet.In the continuous development of the Internet era,the pace of development of various industries has been continuously accelerated.pace.The internet financial management industry is inseparable from the construction and development of information technology.In the rapidly developing financial industry,many informatized documents and information need to be realized through some technical means.The insurance industry is an important part of internet finance.It is inseparable from the construction and development of information.First of all,the main research background and the problem to be solved in this paper is that when internet financial management companies link various major insurance companies,they face too many insurance companies,which leads to the need to link up with insurance companies' insurance policy systems,It is huge and cumbersome,and it can't quickly satisfy customers' insurance and financial needs.The core work of this paper is to solve the system interconnection problem of internet financial management companies linking with many insurance companies.Through crawler technology,it will solve the connection data with major insurance companies' insurance systems,and at the same time register customer data in the insurance company system for integration.Then,in the design and function realization of the technical architecture,through the analysis of the demand of the Internet financial insurance industry,the design of the insurance industry policy plan crawler management subsystem architecture was carried out.According to the needs of the Internet insurance business,the characteristics and design principles of the insurance industry are proposed,and the architecture and functional architecture of the policy plan system technology are designed and planned.The technical architecture mainly considers the flexibility,maintainability and system performance of the policy crawler system.Therefore,the technical architecture of the Python crawler model Scrapy + Selenium+ PhantomJs is adopted,and the functions of each system layer are designed and analyzed in detail..In the design of the functional structure of the policy crawler system,the structure of the functional modules of each part of the crawler system is discussed in detail,and the detailed system function flow chart and architecture diagram are given,which realizes the automatic insurance policy data in the third party through the crawler system.The insurance company's internal system is entered and the insurance policy plan is returned.Secondly,in terms of the benefits of the system's operational use,through the analysis of the entire problem,a reptile management system was developed to connect with the internet's major financial and insurance companies' systems through the crawler technology,enabling the wealth management company's data to be directly accessed by the crawler system.The function of data integration in the large-scale system of insurance companies greatly reduces the original problem of the financial companies in the verification of data through manual methods,which involves large workload,high labor costs,and inaccurate data.This article will describe the entire reptile system development process.Through the use of configuration files by major insurance companies,various types of insurance company crawlers can be flexibly managed and configured.By deploying multiple crawlers,accurate and efficient results can be achieved.The overall function of insurance company data docking.This article solves the problem of docking insurance business data in the internet financial management industry through crawler technology.Through the deployment and use of the system at the Internet Finance Corporation,this system has proved that this system can quickly help companies reduce the previous labor cost of the old business model,inaccurate data docking,and slow customer feedback time,greatly improving customer satisfaction.At the same time,it greatly saves a lot of manpower costs for the company and brings about a huge increase in corporate profits.Finally,this article gives a brief introduction to the application of the reptile management subsystem of the Internet finance industry insurance policy,and puts forward suggestions for further improvement of the system.In summary,through the detailed analysis of customer needs and based on the customer's existing technical architecture,the entire Internet finance and insurance company insurance policy plan crawler subsystem was designed to help customers greatly improve work efficiency and save a lot of Labor costs.