python爬虫开发之使用Python爬虫库requests多线程抓取猫眼电影TOP100实例

时间：2020-08-05 python爬虫查看: 678

使用Python爬虫库requests多线程抓取猫眼电影TOP100思路：

查看网页源代码
抓取单页内容
正则表达式提取信息
猫眼TOP100所有信息写入文件
多线程抓取

运行平台：windows
Python版本：Python 3.7.
IDE:Sublime Text
浏览器：Chrome浏览器

1.查看猫眼电影TOP100网页原代码

按F12查看网页源代码发现每一个电影的信息都在“

”标签之中。

点开之后，信息如下：

2.抓取单页内容

在浏览器中打开猫眼电影网站，点击“榜单”，再点击“TOP100榜”如下图：

接下来通过以下代码获取网页源代码：

#-*-coding:utf-8-*-
import requests
from requests.exceptions import RequestException

#猫眼电影网站有反爬虫措施，设置headers后可以爬取
headers = {
'Content-Type': 'text/plain; charset=UTF-8',
'Origin':'https://maoyan.com',
'Referer':'https://maoyan.com/board/4',
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
}

#爬取网页源代码
def get_one_page(url,headers):
try:
response =requests.get(url,headers =headers)
if response.status_code == 200:
return response.text
return None
except RequestsException:
return None

def main():
url = "https://maoyan.com/board/4"
html = get_one_page(url,headers)
print(html)

if __name__ == '__main__':
main()

执行结果如下：

3.正则表达式提取信息

上图标示信息即为要提取的信息，代码实现如下：

#-*-coding:utf-8-*-
import requests
import re
from requests.exceptions import RequestException

#猫眼电影网站有反爬虫措施，设置headers后可以爬取
headers = {
'Content-Type': 'text/plain; charset=UTF-8',
'Origin':'https://maoyan.com',
'Referer':'https://maoyan.com/board/4',
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
}

#爬取网页源代码
def get_one_page(url,headers):
try:
response =requests.get(url,headers =headers)
if response.status_code == 200:
return response.text
return None
except RequestsException:
return None

#正则表达式提取信息
def parse_one_page(html):
pattern = re.compile('<dd>.*?board-index.*?>(\d+)</i>.*?data-src="(.*?)".*?name"><a'
+'.*?>(.*?)</a>.*?star">(.*?)</p>.*?releasetime">(.*?)</p>.*?integer">(.*?)</i>.*?fraction">(.*?)</i>.*?</dd>',re.S)
items = re.findall(pattern,html)
for item in items:
yield{
'index':item[0],
'image':item[1],
'title':item[2],
'actor':item[3].strip()[3:],
'time':item[4].strip()[5:],
'score':item[5]+item[6]
}

def main():
url = "https://maoyan.com/board/4"
html = get_one_page(url,headers)
for item in parse_one_page(html):
print(item)

if __name__ == '__main__':
main()

执行结果如下：

4.猫眼TOP100所有信息写入文件

上边代码实现单页的信息抓取，要想爬取100个电影的信息，先观察每一页url的变化，点开每一页我们会发现url进行变化，原url后面多了‘？offset=0',且offset的值变化从0,10,20，变化如下：

代码实现如下：

#-*-coding:utf-8-*-
import requests
import re
import json
import os
from requests.exceptions import RequestException

#猫眼电影网站有反爬虫措施，设置headers后可以爬取
headers = {
'Content-Type': 'text/plain; charset=UTF-8',
'Origin':'https://maoyan.com',
'Referer':'https://maoyan.com/board/4',
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
}

#爬取网页源代码
def get_one_page(url,headers):
try:
response =requests.get(url,headers =headers)
if response.status_code == 200:
return response.text
return None
except RequestsException:
return None

#正则表达式提取信息
def parse_one_page(html):
pattern = re.compile('<dd>.*?board-index.*?>(\d+)</i>.*?data-src="(.*?)".*?name"><a'
+'.*?>(.*?)</a>.*?star">(.*?)</p>.*?releasetime">(.*?)</p>.*?integer">(.*?)</i>.*?fraction">(.*?)</i>.*?</dd>',re.S)
items = re.findall(pattern,html)
for item in items:
yield{
'index':item[0],
'image':item[1],
'title':item[2],
'actor':item[3].strip()[3:],
'time':item[4].strip()[5:],
'score':item[5]+item[6]
}
#猫眼TOP100所有信息写入文件
def write_to_file(content):
#encoding ='utf-8',ensure_ascii =False,使写入文件的代码显示为中文
with open('result.txt','a',encoding ='utf-8') as f:
f.write(json.dumps(content,ensure_ascii =False)+'\n')
f.close()
#下载电影封面
def save_image_file(url,path):

jd = requests.get(url)
if jd.status_code == 200:
with open(path,'wb') as f:
f.write(jd.content)
f.close()

def main(offset):
url = "https://maoyan.com/board/4?offset="+str(offset)
html = get_one_page(url,headers)
if not os.path.exists('covers'):
os.mkdir('covers')
for item in parse_one_page(html):
print(item)
write_to_file(item)
save_image_file(item['image'],'covers/'+item['title']+'.jpg')

if __name__ == '__main__':
#对每一页信息进行爬取
for i in range(10):
main(i*10)

爬取结果如下：

5.多线程抓取

进行比较，发现多线程爬取时间明显较快：

多线程：

以下为完整代码：

#-*-coding:utf-8-*-
import requests
import re
import json
import os
from requests.exceptions import RequestException
from multiprocessing import Pool
#猫眼电影网站有反爬虫措施，设置headers后可以爬取
headers = {
'Content-Type': 'text/plain; charset=UTF-8',
'Origin':'https://maoyan.com',
'Referer':'https://maoyan.com/board/4',
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36'
}

#爬取网页源代码
def get_one_page(url,headers):
try:
response =requests.get(url,headers =headers)
if response.status_code == 200:
return response.text
return None
except RequestsException:
return None

#正则表达式提取信息
def parse_one_page(html):
pattern = re.compile('<dd>.*?board-index.*?>(\d+)</i>.*?data-src="(.*?)".*?name"><a'
+'.*?>(.*?)</a>.*?star">(.*?)</p>.*?releasetime">(.*?)</p>.*?integer">(.*?)</i>.*?fraction">(.*?)</i>.*?</dd>',re.S)
items = re.findall(pattern,html)
for item in items:
yield{
'index':item[0],
'image':item[1],
'title':item[2],
'actor':item[3].strip()[3:],
'time':item[4].strip()[5:],
'score':item[5]+item[6]
}
#猫眼TOP100所有信息写入文件
def write_to_file(content):
#encoding ='utf-8',ensure_ascii =False,使写入文件的代码显示为中文
with open('result.txt','a',encoding ='utf-8') as f:
f.write(json.dumps(content,ensure_ascii =False)+'\n')
f.close()
#下载电影封面
def save_image_file(url,path):

jd = requests.get(url)
if jd.status_code == 200:
with open(path,'wb') as f:
f.write(jd.content)
f.close()

def main(offset):
url = "https://maoyan.com/board/4?offset="+str(offset)
html = get_one_page(url,headers)
if not os.path.exists('covers'):
os.mkdir('covers')
for item in parse_one_page(html):
print(item)
write_to_file(item)
save_image_file(item['image'],'covers/'+item['title']+'.jpg')

if __name__ == '__main__':
#对每一页信息进行爬取
pool = Pool()
pool.map(main,[i*10 for i in range(10)])
pool.close()
pool.join()

本文主要讲解了使用Python爬虫库requests多线程抓取猫眼电影TOP100数据的实例,更多关于Python爬虫库的知识请查看下面的相关链接

requests |

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