如何使用python多线程爬取数据？很多新手对此不是很清楚，为了帮助大家解决这个难题，下面小编将为大家详细讲解，有这方面需求的人可以来学习下，希望你能有所收获。
首先找到所有的tr标签，与class="odd"的标签，然后提取出来。
然后再依次找到tr标签里面的所有td标签，然后只提取出里面的[1,2,5,9]这四个标签的位置，其他的不提取。
最后可以写出提取单一页面的代码，提取后将其保存到文件中。
import sys,re,threading
import requests,lxml
from queue import Queue
import argparse
from bs4 import BeautifulSoup
head = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.100 Safari/537.36"}
if __name__ == "__main__":
ip_list=[]
fp = open("SpiderAddr.json","a+",encoding="utf-8")
url = "https://www.blib.cn/url/xcdl.html"
request = requests.get(url=url,headers=head)
soup = BeautifulSoup(request.content,"lxml")
data = soup.find_all(name="tr",attrs={"class": re.compile("|[^odd]")})
for item in data:
soup_proxy = BeautifulSoup(str(item),"lxml")
proxy_list = soup_proxy.find_all(name="td")
for i in [1,2,5,9]:
ip_list.append(proxy_list[i].string)
print("[+] 爬行列表: {} 已转存".format(ip_list))
fp.write(str(ip_list) + '\n')
ip_list.clear()爬取后会将文件保存为 SpiderAddr.json 格式。
最后再使用另一段代码，将其转换为一个SSR代理工具直接能识别的格式，{'http': 'http://119.101.112.31:9999'}
import sys,re,threading
import requests,lxml
from queue import Queue
import argparse
from bs4 import BeautifulSoup
if __name__ == "__main__":
result = []
fp = open("SpiderAddr.json","r")
data = fp.readlines()
for item in data:
dic = {}
read_line = eval(item.replace("\n",""))
Protocol = read_line[2].lower()
if Protocol == "http":
dic[Protocol] = "http://" + read_line[0] + ":" + read_line[1]
else:
dic[Protocol] = "https://" + read_line[0] + ":" + read_line[1]
result.append(dic)
print(result)
完整多线程版代码如下所示。
import sys,re,threading
import requests,lxml
from queue import Queue
import argparse
from bs4 import BeautifulSoup
head = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.100 Safari/537.36"}
class AgentSpider(threading.Thread):
def __init__(self,queue):
threading.Thread.__init__(self)
self._queue = queue
def run(self):
ip_list=[]
fp = open("SpiderAddr.json","a+",encoding="utf-8")
while not self._queue.empty():
url = self._queue.get()
try:
request = requests.get(url=url,headers=head)
soup = BeautifulSoup(request.content,"lxml")
data = soup.find_all(name="tr",attrs={"class": re.compile("|[^odd]")})
for item in data:
soup_proxy = BeautifulSoup(str(item),"lxml")
proxy_list = soup_proxy.find_all(name="td")
for i in [1,2,5,9]:
ip_list.append(proxy_list[i].string)
print("[+] 爬行列表: {} 已转存".format(ip_list))
fp.write(str(ip_list) + '\n')
ip_list.clear()
except Exception:
pass
def StartThread(count):
queue = Queue()
threads = []
for item in range(1,int(count)+1):
url = "https://www.xicidaili.com/nn/{}".format(item)
queue.put(url)
print("[+] 生成爬行链接 {}".format(url))
for item in range(count):
threads.append(AgentSpider(queue))
for t in threads:
t.start()
for t in threads:
t.join()
# 转换函数
def ConversionAgentIP(FileName):
result = []
fp = open(FileName,"r")
data = fp.readlines()
for item in data:
dic = {}
read_line = eval(item.replace("\n",""))
Protocol = read_line[2].lower()
if Protocol == "http":
dic[Protocol] = "http://" + read_line[0] + ":" + read_line[1]
else:
dic[Protocol] = "https://" + read_line[0] + ":" + read_line[1]
result.append(dic)
return result
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-p","--page",dest="page",help="指定爬行多少页")
parser.add_argument("-f","--file",dest="file",help="将爬取到的结果转化为代理格式 SpiderAddr.json")
args = parser.parse_args()
if args.page:
StartThread(int(args.page))
elif args.file:
dic = ConversionAgentIP(args.file)
for item in dic:
print(item)
else:
parser.print_help()看完上述内容是否对您有帮助呢？如果还想对相关知识有进一步的了解或阅读更多相关文章，请关注创新互联行业资讯频道，感谢您对创新互联网站建设公司，的支持。