Combined with the actual situation, this paper explores how to develop a crawler method based on the specific framework for the complete interface of steam manufacturers and stores, which should be able to automatically and efficiently crawl the data of specific targets, analyze the dynamic pages, and complete the data cleaning, downloading, saving and other operations, explore the methods of general data analysis, and Analyze the downloaded data, extract useful information from it, analyze and summarize the specific crawler method and data analysis method through practical application.
CITATION STYLE
Hejing, W., Fang, L., Long, Z., Yabin, S., & Ran, C. (2020). Application Research of Crawler and Data Analysis Based on Python. International Journal of Advanced Network, Monitoring and Controls, 5(2), 64–70. https://doi.org/10.21307/ijanmc-2020-018
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