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這篇文章主要講解了基于線程池提升request模塊效率的方法，內容清晰明了，對此有興趣的小伙伴可以學習一下，相信大家閱讀完之后會有幫助。
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):
"""
向視頻鏈接發送請求
"""
return requests.get(url=url, headers=headers).content
def save_video(content):
"""
將視頻的二進制數據保存到本地
"""
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("執行耗時: ", time.time() - start_time)執行耗時: 147.22410440444946
使用線程池：爬取梨視頻
# 使用線程池爬去梨視頻的
import re
import time
import random
import requests
from lxml import etree
from multiprocessing.dummy import Pool
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):
"""
向視頻鏈接發送請求
"""
return requests.get(url=url, headers=headers).content
def save_video(content):
"""
將視頻的二進制數據保存到本地
"""
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)
pool = Pool(4)
#使用線程池將視頻的二進制數據下載下來
content_list = pool.map(request_video, video_url_list)
# 使用線程池將視頻的二進制數據保存到本地
pool.map(save_video, content_list)
print("執行耗時: ", time.time() - start_time)看完上述內容，是不是對基于線程池提升request模塊效率的方法有進一步的了解，如果還想學習更多內容，歡迎關注億速云行業資訊頻道。
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