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This article mainly explains "python xpath reading attribute example analysis", interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Next let the editor to take you to learn "python xpath read attribute example analysis" bar!

Climb the Douban movie page and find the data in the attribute tag. Use xpath to read import urllib.requestimport lxml.etree as leimport user_agentimport pandas as pd best_data = [] request = urllib.request.Request (url=' https://movie.douban.com/cinema/nowplaying/zhengzhou/', Headers= {'User-Agent':user_agent.get_user_agent_pc ()}) response = urllib.request.urlopen (request) html_x = le.HTML (response.read ()) sub_data = html_x.xpath (' / / ul [@ class= "lists"] / li') for i in sub_data: temp_data = {} temp_data ['number'] = '.join (i.xpath (' @ id') temp_) Data ['movie name'] = i.xpath ('@ data-title') temp_data ['movie score'] = i.xpath ('@ data-score') best_data.append (temp_data) pd.DataFrame (best_data). To_csv ('db.csv') xpath can crawl properties to this I believe that everyone has a deeper understanding of "python xpath read attribute example analysis", might as well come to the actual operation of it! Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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