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Application Research of Crawler and Data Analysis Based on Python Cover
By: Wu Hejing,  Liu Fang,  Zhao Long,  Shao Yabin and  Cui Ran  
Open Access
|Jul 2020

Abstract

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.

Language: English
Page range: 64 - 70
Published on: Jul 13, 2020
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Wu Hejing, Liu Fang, Zhao Long, Shao Yabin, Cui Ran, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.