python爬虫爬取豆瓣Top250的书籍信息，并保存到文件

import requests
from bs4 import BeautifulSoup
resp = requests.get('https://book.douban.com/top250?start=0')
soup = BeautifulSoup(resp.text, 'lxml')
# 发出请求获得HTML源码的函数
def get_html(url):
# 伪装成浏览器访问
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
resp = requests.get(url, headers=headers).text
return resp
# 获得所有页面的函数
def all_page():
base_url = 'https://book.douban.com/top250?start='
urllist = []
# 从0到225，间隔25的数组
for page in range(0, 250, 25):
allurl = base_url + str(page)
urllist.append(allurl)
return urllist
# 解析页面，获得数据信息
def html_parse():
# 调用函数，for循环迭代出所有页面
for url in all_page():
# BeautifulSoup的解析
soup = BeautifulSoup(get_html(url), 'lxml')
# 书名
alldiv = soup.find_all('div', class_='pl2')
names = [a.find('a')['title'] for a in alldiv]
# 作者
allp = soup.find_all('p', class_='pl')
authors = [p.get_text() for p in allp]
# 评分
starspan = soup.find_all('span', class_='rating_nums')
scores = [s.get_text() for s in starspan]
# 简介
sumspan = soup.find_all('span', class_='inq')
sums = [i.get_text() for i in sumspan]
for name, author, score, sum in zip(names, authors, scores, sums):
name = '书名：' + str(name) + '\n'
author = '作者：' + str(author) + '\n'
score = '评分：' + str(score) + '\n'
sum = '简介：' + str(sum) + '\n'
data = name + author + score + sum
# 保存数据
f.writelines(data + '=======================' + '\n')
# 文件名
filename = '豆瓣图书Top250.txt'
# 保存文件操作
f = open(filename, 'w', encoding='utf-8')
# 调用函数
html_parse()
f.close()
print('保存成功。')
# find_all()方法，
# 注意class是Python关键词，后面要加下划线_：
# alldiv = soup.find_all('div', class_='pl2')
# for a in alldiv:
# names = a.find('a')['title']
# print('find_all():', names)
# find()方法：
# alldiv2 = soup.find('div', class_='pl2')
# names2 = alldiv2.find('a')['title']
# print('find():', names2 )

小白的爬虫之路，第一次试水。