这篇文章主要介绍python基于redis实现ip代理池的案例，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！
使用apscheduler库定时爬取ip，定时检测ip删除ip，做了2层检测，第一层爬取后放入redis——db0进行检测，成功的放入redis——db1再次进行检测，确保获取的代理ip的可用性
import requests, redis
import pandas
import random
from apscheduler.schedulers.blocking import BlockingScheduler
import datetime
import logging
db_conn = redis.ConnectionPool(host="*.*.*.*", port=6379, password="123456")
redis_conn_0 = redis.Redis(connection_pool=db_conn, max_connections=10,db=0)
redis_conn_1 = redis.Redis(connection_pool=db_conn, max_connections=10,db=1)
# 删除redis数据库里的ip
def remove_ip(ip,redis_conn):
redis_conn.zrem("IP", ip)
print("已删除 %s..." % ip)
# 获取redis数据库里一共有多少ip
def get_ip_num(redis_conn):
num = redis_conn.zcard("IP")
return num
# 获取ip的端口
def get_port(ip,redis_conn):
port = redis_conn.zscore("IP", ip)
port = str(port).replace(".0", "")
return port
# 添加ip和端口到数据库里
def add_ip(ip, port,redis_conn):
# nx: 不要更新已有的元素。总是添加新的元素,只有True，False
redis_conn.zadd("IP", {ip: port}, nx=55)
print("已添加 %s %s...ok" % (ip, port))
# 列出所有的ip
def get_all_ip(redis_conn):
all_ip = redis_conn.zrange("IP", 0, -1)
return all_ip
# 随机获取一个ip
def get_random_ip(redis_conn):
end_num = get_ip_num(redis_conn)
num = random.randint(0, end_num)
random_ip = redis_conn.zrange("IP", num, num)
if not random_ip:
return "",""
random_ip = str(random_ip[0]).replace("b", '').replace("'", "")
port = get_port(random_ip,redis_conn)
return random_ip, port
# 获取代理ip
def spider_ip(x,redis_conn):
print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), x)
for p in range(1, 20):
res = pandas.read_html("http://www.89ip.cn/index_{}.html".format(p))
# print(res)
# print(type(res[0]))
for i in range(len(res[0])):
ip = res[0].iloc[i, 0]
port = res[0].iloc[i, 1]
print("ip", ip)
print("port", port)
add_ip(str(ip), str(port),redis_conn)
logging.basicConfig(level=logging.INFO,
format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',
datefmt='%Y-%m-%d %H:%M:%S',
filename='log1.txt',
filemode='a')
def aps_detection_ip(x,redis_conn):
print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), x)
res=get_random_ip(redis_conn)
ip=res[0]
port=res[1]
try:
requests.get("http://www.baidu.com",proxies={'https':'{ip}:{port}'.format(ip=ip,port=port)})
print("可用",ip,port,res)
if redis_conn!=redis_conn_1:
add_ip(str(ip), str(port), redis_conn_1)
except Exception:
# ip错误失效就删除
remove_ip(ip,redis_conn)
scheduler = BlockingScheduler()
scheduler.add_job(func=aps_detection_ip, args=('检测循环任务0',redis_conn_0), trigger='interval', seconds=3, id='aps_detection_ip_task0',max_instances=10)
scheduler.add_job(func=spider_ip, args=('获取循环任务0',redis_conn_0), trigger='interval', seconds=60*60*2, id='spider_ip_task0',max_instances=10)
scheduler.add_job(func=aps_detection_ip, args=('检测循环任务1',redis_conn_1), trigger='interval', seconds=3, id='aps_detection_ip_task1',max_instances=10)
scheduler._logger = logging
# scheduler.start()
if __name__ == '__main__':
# print(get_ip_num())
# spider_ip("获取循环任务")
scheduler.start()
# aps_detection_ip("检测循环任务")以上是“python基于redis实现ip代理池的案例”这篇文章的所有内容，感谢各位的阅读！希望分享的内容对大家有帮助，更多相关知识，欢迎关注创新互联行业资讯频道！