<爬虫实战>豆瓣电影TOP250（三种解析方法）

1.豆瓣电影排行.py

# 目标：爬取豆瓣电影排行榜TOP250的电影信息
# 信息包括：电影名字，上映时间，主演，评分，导演，一句话评价
# 解析用学过的几种方法都实验一下①正则表达式.②BeautifulSoup③xpath
import requests
import re  # 正则表达式
import json
from bs4 import BeautifulSoup  # BS
from lxml import etree  # xpath

def get_one_page(url):
	response = requests.get(url)
	if response.status_code == 200:
		return response.text
	return None

def zhengze_parse(html):
	pattern = re.compile(
		'<em class="">(.*?)</em>.*?<img.*?alt="(.*?)".*?src="(.*?)".*?property="v:average">(.*?)</span>.*?<span>(.*?)</span>.*?'
		+ 'class="inq">(.*?)</span>',
		re.S)
	items = re.findall(pattern, html)
	# 因为125个影片没有描述，根本没有匹配到- -，更改也简单，描述单独拿出来，这里我就不改了
	for item in items:
		yield {
			'index': item[0],
			'image': item[2],
			'title': item[1],
			'people': item[4].strip()[:-2],
			'score': item[3],
			'Evaluation': item[5]
		}

def soup_parse(html):
	soup = BeautifulSoup(html, 'lxml')
	for data in soup.find_all('div', class_='item'):
		index = data.em.text
		image = data.img['src']
		title = data.img['alt']
		people = data.find_all('span')[-2].text[:-2]
		score = data.find('span', class_='rating_num').text
		# 第125个影片没有描述，用空代替
		if data.find('span', class_='inq'):
			Evaluation = data.find('span', class_='inq').text
		else:
			Evaluation = ''
		yield {
			'index': index,
			'image': image,
			'title': title,
			'people': people,
			'score': score,
			'Evaluation': Evaluation,
		}

def xpath_parse(html):
	html = etree.HTML(html)
	for data in html.xpath('//ol[@class="grid_view"]/li'):
		index = data.xpath('.//em/text()')[0]
		image = data.xpath('.//a/img/@src')[0]
		title = data.xpath('.//a/img/@alt')[0]
		people = data.xpath('.//div[@class="star"]/span[4]/text()')[0][:-2]
		score = data.xpath('.//div[@class="star"]/span[2]/text()')[0]
		# 第125个影片没有描述，用空代替
		if data.xpath('.//p[@class="quote"]/span/text()'):
			Evaluation = data.xpath('.//p[@class="quote"]/span/text()')[0]
		else:
			Evaluation = ''
		yield {
			'index': index,
			'image': image,
			'title': title,
			'people': people,
			'score': score,
			'Evaluation': Evaluation,
		}

def write_to_file(content, flag):
	with open('豆瓣电影TOP250(' + str(flag) + ').txt', 'a', encoding='utf-8')as f:
		f.write(json.dumps(content, ensure_ascii=False) + '\n')

def search(Num):
	url = 'https://movie.douban.com/top250?start=' + str(Num)
	html = get_one_page(url)
	for item in zhengze_parse(html):
		write_to_file(item, '正则表达式')
	for item in soup_parse(html):
		write_to_file(item, 'BS4')
	for item in xpath_parse(html):
		write_to_file(item, 'xpath')
	page = str(Num / 25 + 1)
	print("正在爬取第" + page[:-2] + '页')

def main():
	# 提供页码
	for i in range(0, 10):
		Num = i * 25
		search(Num)
	print("爬取完成")

if __name__ == '__main__':
	# 入口
	main()

　　

　　

第125个电影显示信息（赶紧去加个描述吧）

2.打包

pyinstaller -F 豆瓣电影排行.py

　　

3.运行效果