本文实例讲述了Python爬虫实现使用beautifulSoup4爬取名言网功能。分享给大家供大家参考，具体如下：

爬取名言网top10标签对应的名言，并存储到mysql中，字段（名言，作者，标签）

#! /usr/bin/python3# -*- coding:utf-8 -*-from urllib.request import urlopen as openfrom bs4 import BeautifulSoupimport reimport pymysqldef find_top_ten(url): response = open(url) bs = BeautifulSoup(response,'html.parser') tags = bs.select('span.tag-item a') top_ten_href = [tag.get('href') for tag in tags] top_ten_tag = [tag.text for tag in tags] # print(top_ten_href) # print(top_ten_tag) return top_ten_hrefdef insert_into_mysql(records): con = pymysql.connect(host='localhost',user='root',password='root',database='quotes',charset='utf8',port=3306) cursor = con.cursor() sql = "insert into quotes(content,author,tags) values(%s,%s,%s)" for record in records: cursor.execute(sql, record) con.commit() cursor.close() con.close()# http://quotes.toscrape.com/tag/love/#要获取对应标签中所有的名言 所以这里要考虑分页的情况#经过在网页上查看知道分页查询的url#http://quotes.toscrape.com/tag/love/page/1/#判断到那一页没有数据 div.container div.row [1]def find_link_content(link): page = 1 while True: new_link = "http://quotes.toscrape.com" + link + "page/" # print(new_link) new_link = new_link + str(page) print(new_link) sub_bs = open(new_link) sub_bs = BeautifulSoup(sub_bs,'html.parser') quotes = sub_bs.select('div.row div.col-md-8 span.text') # 如果没有数据就退出 if len(quotes) == 0: break #名言 quotes = [quote.text.strip('“”') for quote in quotes] #作者 authors = sub_bs.select('small.author') authors = [author.text for author in authors] # 标签 tags_list = sub_bs.select('meta.keywords') tags_list = [tags.get('content') for tags in tags_list] # print(authors) # print(quotes) #print(tags_list) record_list = [] for i in range(len(quotes)): tags = tags_list[i] tags = tags.replace(',','，') print(tags) record = [quotes[i],authors[i],tags] record_list.append(record) insert_into_mysql(record_list) page += 1#def main(): url = "http://quotes.toscrape.com/" parent_link = find_top_ten(url) for link in parent_link: print(link) find_link_content(link)if __name__ == '__main__': main()

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希望本文所述对大家Python程序设计有所帮助。