Vigilance Against Autonomous Mining of Trade Secrets During Python-Based Web Crawling of Data
Jikuan Xu · 2023
With the rapid development of the Internet, data has become an important asset, in order to further simplify the search and accurate positioning of network resources, web crawler technology is emerging, Python with its high degree of compatibility and a large community, has become the mainstream technology of web crawler. However, in recent years, the number of infringement cases has increased gradually, and the intentional or unintentional mining of commercial secrets in the process of web crawling has become a major problem that cannot be avoided. In this paper, based on the technical aspects of Python web crawling data process, we take Scrapy architecture as an example to explore how to effectively circumvent the problem of illegally crawling enterprise trade secrets. The study shows that when dealing with anti-crawling technical measures, we should be alert to the object protected by anti-crawling technology, respect the rules and agreements of the website, respect the commercial secrets and legitimate rights and interests of the enterprise, and must not avoid this technology to obtain data without exception. The reasonable use of web crawlers is of great significance in promoting the flow of data and the development of enterprises as well as the social economy.