這篇文章主要講解了基于線程池提升request模塊效率的方法，內(nèi)容清晰明了，對(duì)此有興趣的小伙伴可以學(xué)習(xí)一下，相信大家閱讀完之后會(huì)有幫助。

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普通方法：爬取梨視頻

import re
import time
import random
import requests
from lxml import etree

start_time = time.time()

url = "https://www.pearvideo.com/category_3"
headers = {
  "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36"
}

ex = 'srcUrl="(.*?)",vdoUrl=srcUrl'

def request_video(url):
  """
  向視頻鏈接發(fā)送請求
  """
  return requests.get(url=url, headers=headers).content

def save_video(content):
  """
  將視頻的二進(jìn)制數(shù)據(jù)保存到本地
  """
  video_name = str(random.randint(100, 999)) + ".mp4"
  with open(video_name, 'wb') as f:
    f.write(content)

    
# 獲取首頁源碼
page_text = requests.get(url=url, headers=headers).text

tree = etree.HTML(page_text)
li_list = tree.xpath('//ul[@class="listvideo-list clearfix"]/li')

video_url_list = list()
for li in li_list:
  detail_url = "https://www.pearvideo.com/" + li.xpath('./div/a/@href')[0]
  
  # 獲取該視頻頁面的源碼
  detail_page_text = requests.get(url=detail_url, headers=headers).text
  
  # 正則匹配視頻的URL
  video_url = re.findall(ex, detail_page_text, re.S)[0]
  video_url_list.append(video_url)
  
  content = request_video(video_url)
  save_video(content)


print("執(zhí)行耗時(shí): ", time.time() - start_time)

本文名稱：基于線程池提升request模塊效率的方法-創(chuàng)新互聯(lián)
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