Shulou(Shulou.com)06/03 Report--

This article will explain in detail how to use python to climb the video data of bilibili ranking Top100. The editor thinks it is very practical, so I share it with you as a reference. I hope you can get something after reading this article.

1. The third party library imports from bs4 import BeautifulSoup # parses the import re # regular expression of the web page, carries on the text matching import urllib.request,urllib.error # requests the data through the browser import sqlite3 # lightweight database import time # to obtain the current time 2, the program runs the main function

The crawling process mainly includes declaring crawling web page-> crawling web page data and parsing-> saving data.

Def main (): # declare crawling website baseurl = "https://www.bilibili.com/v/popular/rank/all" # crawling web page datalist = getData (baseurl) # print (datalist) # Save data dbname = time.strftime ("% Y-%m-%d ", time.localtime ()) dbpath =" BiliBiliTop100 "+ dbname saveData (datalist,dbpath)

(1) the technology used in the process of crawling is to request data disguised as a browser.

(2) when parsing the crawled web page source code: use Beautifulsoup to parse the required data, and use re regular expression to match the data.

(3) when saving data, considering that the bilibili ranking list is refreshed every day, you can use the current date to save the database name.

3. The result of running the program

The data contained in the database are: ranking, video link, title, number of views, number of comments, author, comprehensive score these 7 data.

4. Program source code from bs4 import BeautifulSoup # parsing web page import re # regular expression Text matching import urllib.request,urllib.errorimport sqlite3import timedef main (): # declare crawling website baseurl = "https://www.bilibili.com/v/popular/rank/all" # crawling web page datalist = getData (baseurl) # print (datalist) # Save data dbname = time.strftime ("% Y-%m-%d ", time.localtime ()) dbpath =" BiliBiliTop100 "+ dbname saveData (datalist) Dbpath) # re regular expression findLink = re.compile (r'

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