如何搭建python爬虫代理池

发布时间：2020-07-15 16:18:05 作者：清晨
来源：亿速云阅读：132

这篇文章主要介绍如何搭建python爬虫代理池，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！

在众多的网站防爬措施中，有一种是根据ip的访问频率进行限制，即在某一时间段内，当某个ip的访问次数达到一定的阀值时，该ip就会被拉黑、在一段时间内禁止访问。

应对的方法有两种：

1、降低爬虫的爬取频率，避免IP被限制访问，缺点显而易见：会大大降低爬取的效率。

2、搭建一个IP代理池，使用不同的IP轮流进行爬取。

搭建爬虫代理池的思路：

1、从代理网站(如：西刺代理、快代理、云代理、无忧代理)爬取代理IP；

2、验证代理IP的可用性（使用代理IP去请求指定URL，根据响应验证代理IP是否生效）；

3、将可用的代理IP保存到数据库；

实现代码：

ipproxy.py

IPProxy代理类定义了要爬取的IP代理的字段信息和一些基础方法。

# -*- coding: utf-8 -*-
import re
import time
from settings import PROXY_URL_FORMATTER
 
schema_pattern = re.compile(r'http|https$', re.I)
ip_pattern = re.compile(r'^([0-9]{1,3}.){3}[0-9]{1,3}$', re.I)
port_pattern = re.compile(r'^[0-9]{2,5}$', re.I)
 
class IPProxy:
    '''
    {
        "schema": "http", # 代理的类型
        "ip": "127.0.0.1", # 代理的IP地址
        "port": "8050", # 代理的端口号
        "used_total": 11, # 代理的使用次数
        "success_times": 5, # 代理请求成功的次数
        "continuous_failed": 3, # 使用代理发送请求，连续失败的次数
        "created_time": "2018-05-02" # 代理的爬取时间
    }
    '''
 
    def __init__(self, schema, ip, port, used_total=0, success_times=0, continuous_failed=0,
                 created_time=None):
        """Initialize the proxy instance"""
        if schema == "" or schema is None:
            schema = "http"
        self.schema = schema.lower()
        self.ip = ip
        self.port = port
        self.used_total = used_total
        self.success_times = success_times
        self.continuous_failed = continuous_failed
        if created_time is None:
            created_time = time.strftime('%Y-%m-%d', time.localtime(time.time()))
        self.created_time = created_time
 
    def _get_url(self):
        ''' Return the proxy url'''
        return PROXY_URL_FORMATTER % {'schema': self.schema, 'ip': self.ip, 'port': self.port}
 
    def _check_format(self):
        ''' Return True if the proxy fields are well-formed,otherwise return False'''
        if self.schema is not None and self.ip is not None and self.port is not None:
            if schema_pattern.match(self.schema) and ip_pattern.match(self.ip) and port_pattern.match(self.port):
                return True
        return False
 
    def _is_https(self):
        ''' Return True if the proxy is https,otherwise return False'''
        return self.schema == 'https'
 
    def _update(self, successed=False):
        ''' Update proxy based on the result of the request's response'''
        self.used_total = self.used_total + 1
        if successed:
            self.continuous_failed = 0
            self.success_times = self.success_times + 1
        else:
            print(self.continuous_failed)
            self.continuous_failed = self.continuous_failed + 1
 
if __name__ == '__main__':
    proxy = IPProxy('HTTPS', '192.168.2.25', "8080")
    print(proxy._get_url())
    print(proxy._check_format())
    print(proxy._is_https())

settings.py

settings.py中汇聚了工程所需要的配置信息。

# 指定Redis的主机名和端口
REDIS_HOST = 'localhost'
REDIS_PORT = 6379
 
# 代理保存到Redis key 格式化字符串
PROXIES_REDIS_FORMATTER = 'proxies::{}'
# 已经存在的HTTP代理和HTTPS代理集合
PROXIES_REDIS_EXISTED = 'proxies::existed'
 
# 最多连续失败几次
MAX_CONTINUOUS_TIMES = 3
# 代理地址的格式化字符串
PROXY_URL_FORMATTER = '%(schema)s://%(ip)s:%(port)s'
 
USER_AGENT_LIST = [
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
    "Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",
    "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]
# 爬取到的代理保存前先检验是否可用，默认True
PROXY_CHECK_BEFOREADD = True
# 检验代理可用性的请求地址，支持多个
PROXY_CHECK_URLS = {'https':['https://icanhazip.com'],'http':['http://icanhazip.com']}

proxy_util.py

proxy_util.py 中主要定义了一些实用方法，例如：proxy_to_dict(proxy)用来将IPProxy代理实例转换成字典；proxy_from_dict(d)用来将字典转换为IPProxy实例；request_page()用来发送请求；_is_proxy_available()用来校验代理IP是否可用。

# -*- coding: utf-8 -*-
import random
import logging
import requests
from ipproxy import IPProxy
from settings import USER_AGENT_LIST, PROXY_CHECK_URLS
 
# Setting logger output format
logging.basicConfig(level=logging.INFO,
                    format='[%(asctime)-15s] [%(levelname)8s] [%(name)10s ] - %(message)s (%(filename)s:%(lineno)s)',
                    datefmt='%Y-%m-%d %T'
                    )
logger = logging.getLogger(__name__)
 
 
def proxy_to_dict(proxy):
    d = {
        "schema": proxy.schema,
        "ip": proxy.ip,
        "port": proxy.port,
        "used_total": proxy.used_total,
        "success_times": proxy.success_times,
        "continuous_failed": proxy.continuous_failed,
        "created_time": proxy.created_time
    }
    return d
 
 
def proxy_from_dict(d):
    return IPProxy(schema=d['schema'], ip=d['ip'], port=d['port'], used_total=d['used_total'],
                   success_times=d['success_times'], continuous_failed=d['continuous_failed'],
                   created_time=d['created_time'])
 
 
# Truncate header and tailer blanks
def strip(data):
    if data is not None:
        return data.strip()
    return data
 
 
base_headers = {
    'Accept-Encoding': 'gzip, deflate, br',
    'Accept-Language': 'en-US,en;q=0.9,zh-CN;q=0.8,zh;q=0.7'
}
 
 
def request_page(url, options={}, encoding='utf-8'):
    """send a request,get response"""
    headers = dict(base_headers, **options)
    if 'User-Agent' not in headers.keys():
        headers['User-Agent'] = random.choice(USER_AGENT_LIST)
 
    logger.info('正在抓取: ' + url)
    try:
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            logger.info('抓取成功: ' + url)
            return response.content.decode(encoding=encoding)
    except ConnectionError:
        logger.error('抓取失败' + url)
        return None
 
def _is_proxy_available(proxy, options={}):
    """Check whether the Proxy is available or not"""
    headers = dict(base_headers, **options)
    if 'User-Agent' not in headers.keys():
        headers['User-Agent'] = random.choice(USER_AGENT_LIST)
    proxies = {proxy.schema: proxy._get_url()}
    check_urls = PROXY_CHECK_URLS[proxy.schema]
    for url in check_urls:
        try:
            response = requests.get(url=url, proxies=proxies, headers=headers, timeout=5)
        except BaseException:
            logger.info("< " + url + " > 验证代理 < " + proxy._get_url() + " > 结果： 不可用  ")
        else:
            if response.status_code == 200:
                logger.info("< " + url + " > 验证代理 < " + proxy._get_url() + " > 结果： 可用  ")
                return True
            else:
                logger.info("< " + url + " > 验证代理 < " + proxy._get_url() + " > 结果： 不可用  ")
    return False
 
 
if __name__ == '__main__':
    headers = dict(base_headers)
    if 'User-Agent' not in headers.keys():
        headers['User-Agent'] = random.choice(USER_AGENT_LIST)
    proxies = {"https": "https://163.125.255.154:9797"}
    response = requests.get("https://www.baidu.com", headers=headers, proxies=proxies, timeout=3)
    print(response.content)

proxy_queue.py

代理队列用来保存并对外提供 IP代理，不同的代理队列内代理IP的保存和提取策略可以不同。在这里， BaseQueue 是所有代理队列的基类，其中声明了所有代理队列都需要实现的保存代理IP、提取代理IP、查看代理IP数量等接口。示例的 FifoQueue 是一个先进先出队列，底层使用 Redis 列表实现，为了确保同一个代理IP只能被放入队列一次，这里使用了一个Redis proxies::existed 集合进行入队前重复校验。

# -*- coding: utf-8 -*-
from proxy_util import logger
import json
import redis
from ipproxy import IPProxy
from proxy_util import proxy_to_dict, proxy_from_dict, _is_proxy_available
from settings import PROXIES_REDIS_EXISTED, PROXIES_REDIS_FORMATTER, MAX_CONTINUOUS_TIMES, PROXY_CHECK_BEFOREADD
 
"""
Proxy Queue Base Class
"""
class BaseQueue(object):
 
    def __init__(self, server):
        """Initialize the proxy queue instance
        Parameters
        ----------
        server : StrictRedis
            Redis client instance
        """
        self.server = server
 
    def _serialize_proxy(self, proxy):
        """Serialize proxy instance"""
        return proxy_to_dict(proxy)
 
    def _deserialize_proxy(self, serialized_proxy):
        """deserialize proxy instance"""
        return proxy_from_dict(eval(serialized_proxy))
 
    def __len__(self, schema='http'):
        """Return the length of the queue"""
        raise NotImplementedError
 
    def push(self, proxy, need_check):
        """Push a proxy"""
        raise NotImplementedError
 
    def pop(self, schema='http', timeout=0):
        """Pop a proxy"""
        raise NotImplementedError
 
 
class FifoQueue(BaseQueue):
    """First in first out queue"""
 
    def __len__(self, schema='http'):
        """Return the length of the queue"""
        return self.server.llen(PROXIES_REDIS_FORMATTER.format(schema))
 
    def push(self, proxy, need_check=PROXY_CHECK_BEFOREADD):
        """Push a proxy"""
        if need_check and not _is_proxy_available(proxy):
            return
        elif proxy.continuous_failed < MAX_CONTINUOUS_TIMES and not self._is_existed(proxy):
            key = PROXIES_REDIS_FORMATTER.format(proxy.schema)
            self.server.rpush(key, json.dumps(self._serialize_proxy(proxy),ensure_ascii=False))
 
    def pop(self, schema='http', timeout=0):
        """Pop a proxy"""
        if timeout > 0:
            p = self.server.blpop(PROXIES_REDIS_FORMATTER.format(schema.lower()), timeout)
            if isinstance(p, tuple):
                p = p[1]
        else:
            p = self.server.lpop(PROXIES_REDIS_FORMATTER.format(schema.lower()))
        if p:
            p = self._deserialize_proxy(p)
            self.server.srem(PROXIES_REDIS_EXISTED, p._get_url())
            return p
 
    def _is_existed(self, proxy):
        added = self.server.sadd(PROXIES_REDIS_EXISTED, proxy._get_url())
        return added == 0
 
 
if __name__ == '__main__':
    r = redis.StrictRedis(host='localhost', port=6379)
    queue = FifoQueue(r)
    proxy = IPProxy('http', '218.66.253.144', '80')
    queue.push(proxy)
    proxy = queue.pop(schema='http')
    print(proxy._get_url())

proxy_crawlers.py

ProxyBaseCrawler 是所有代理爬虫的基类，其中只定义了一个 _start_crawl() 方法用来从搜集到的代理网站爬取代理IP。

# -*- coding: utf-8 -*-
from lxml import etree
from ipproxy import IPProxy
from proxy_util import strip, request_page, logger
 
 
class ProxyBaseCrawler(object):
 
    def __init__(self, queue=None, website=None, urls=[]):
        self.queue = queue
        self.website = website
        self.urls = urls
 
    def _start_crawl(self):
        raise NotImplementedError
 
 
class KuaiDailiCrawler(ProxyBaseCrawler):  # 快代理
    def _start_crawl(self):
        for url_dict in self.urls:
            logger.info("开始爬取 [ " + self.website + " ] :::> [ " + url_dict['type'] + " ]")
            has_more = True
            url = None
            while has_more:
                if 'page' in url_dict.keys() and str.find(url_dict['url'], '{}') != -1:
                    url = url_dict['url'].format(str(url_dict['page']))
                    url_dict['page'] = url_dict['page'] + 1
                else:
                    url = url_dict['url']
                    has_more = False
                html = etree.HTML(request_page(url))
                tr_list = html.xpath("//table[@class='table table-bordered table-striped']/tbody/tr")
                for tr in tr_list:
                    ip = tr.xpath("./td[@data-title='IP']/text()")[0] if len(
                        tr.xpath("./td[@data-title='IP']/text()")) else None
                    port = tr.xpath("./td[@data-title='PORT']/text()")[0] if len(
                        tr.xpath("./td[@data-title='PORT']/text()")) else None
                    schema = tr.xpath("./td[@data-title='类型']/text()")[0] if len(
                        tr.xpath("./td[@data-title='类型']/text()")) else None
                    proxy = IPProxy(schema=strip(schema), ip=strip(ip), port=strip(port))
                    if proxy._check_format():
                        self.queue.push(proxy)
                if tr_list is None:
                    has_more = False
 
 
class FeiyiDailiCrawler(ProxyBaseCrawler):  # 飞蚁代理
    def _start_crawl(self):
        for url_dict in self.urls:
            logger.info("开始爬取 [ " + self.website + " ] :::> [ " + url_dict['type'] + " ]")
            has_more = True
            url = None
            while has_more:
                if 'page' in url_dict.keys() and str.find(url_dict['url'], '{}') != -1:
                    url = url_dict['url'].format(str(url_dict['page']))
                    url_dict['page'] = url_dict['page'] + 1
                else:
                    url = url_dict['url']
                    has_more = False
                html = etree.HTML(request_page(url))
                tr_list = html.xpath("//div[@id='main-content']//table/tr[position()>1]")
                for tr in tr_list:
                    ip = tr.xpath("./td[1]/text()")[0] if len(tr.xpath("./td[1]/text()")) else None
                    port = tr.xpath("./td[2]/text()")[0] if len(tr.xpath("./td[2]/text()")) else None
                    schema = tr.xpath("./td[4]/text()")[0] if len(tr.xpath("./td[4]/text()")) else None
                    proxy = IPProxy(schema=strip(schema), ip=strip(ip), port=strip(port))
                    if proxy._check_format():
                        self.queue.push(proxy)
                if tr_list is None:
                    has_more = False
 
 
class WuyouDailiCrawler(ProxyBaseCrawler):  # 无忧代理
    def _start_crawl(self):
        for url_dict in self.urls:
            logger.info("开始爬取 [ " + self.website + " ] :::> [ " + url_dict['type'] + " ]")
            has_more = True
            url = None
            while has_more:
                if 'page' in url_dict.keys() and str.find(url_dict['url'], '{}') != -1:
                    url = url_dict['url'].format(str(url_dict['page']))
                    url_dict['page'] = url_dict['page'] + 1
                else:
                    url = url_dict['url']
                    has_more = False
                html = etree.HTML(request_page(url))
                ul_list = html.xpath("//div[@class='wlist'][2]//ul[@class='l2']")
                for ul in ul_list:
                    ip = ul.xpath("./span[1]/li/text()")[0] if len(ul.xpath("./span[1]/li/text()")) else None
                    port = ul.xpath("./span[2]/li/text()")[0] if len(ul.xpath("./span[2]/li/text()")) else None
                    schema = ul.xpath("./span[4]/li/text()")[0] if len(ul.xpath("./span[4]/li/text()")) else None
                    proxy = IPProxy(schema=strip(schema), ip=strip(ip), port=strip(port))
                    if proxy._check_format():
                        self.queue.push(proxy)
                if ul_list is None:
                    has_more = False
 
 
class IPhaiDailiCrawler(ProxyBaseCrawler):  # IP海代理
    def _start_crawl(self):
        for url_dict in self.urls:
            logger.info("开始爬取 [ " + self.website + " ] :::> [ " + url_dict['type'] + " ]")
            has_more = True
            url = None
            while has_more:
                if 'page' in url_dict.keys() and str.find(url_dict['url'], '{}') != -1:
                    url = url_dict['url'].format(str(url_dict['page']))
                    url_dict['page'] = url_dict['page'] + 1
                else:
                    url = url_dict['url']
                    has_more = False
                html = etree.HTML(request_page(url))
                tr_list = html.xpath("//table//tr[position()>1]")
                for tr in tr_list:
                    ip = tr.xpath("./td[1]/text()")[0] if len(tr.xpath("./td[1]/text()")) else None
                    port = tr.xpath("./td[2]/text()")[0] if len(tr.xpath("./td[2]/text()")) else None
                    schema = tr.xpath("./td[4]/text()")[0] if len(tr.xpath("./td[4]/text()")) else None
                    proxy = IPProxy(schema=strip(schema), ip=strip(ip), port=strip(port))
                    if proxy._check_format():
                        self.queue.push(proxy)
                if tr_list is None:
                    has_more = False
 
 
class YunDailiCrawler(ProxyBaseCrawler):  # 云代理
    def _start_crawl(self):
        for url_dict in self.urls:
            logger.info("开始爬取 [ " + self.website + " ] :::> [ " + url_dict['type'] + " ]")
            has_more = True
            url = None
            while has_more:
                if 'page' in url_dict.keys() and str.find(url_dict['url'], '{}') != -1:
                    url = url_dict['url'].format(str(url_dict['page']))
                    url_dict['page'] = url_dict['page'] + 1
                else:
                    url = url_dict['url']
                    has_more = False
                html = etree.HTML(request_page(url, encoding='gbk'))
                tr_list = html.xpath("//table/tbody/tr")
                for tr in tr_list:
                    ip = tr.xpath("./td[1]/text()")[0] if len(tr.xpath("./td[1]/text()")) else None
                    port = tr.xpath("./td[2]/text()")[0] if len(tr.xpath("./td[2]/text()")) else None
                    schema = tr.xpath("./td[4]/text()")[0] if len(tr.xpath("./td[4]/text()")) else None
                    proxy = IPProxy(schema=strip(schema), ip=strip(ip), port=strip(port))
                    if proxy._check_format():
                        self.queue.push(proxy)
                if tr_list is None:
                    has_more = False
 
 
class XiCiDailiCrawler(ProxyBaseCrawler):  # 西刺代理
    def _start_crawl(self):
        for url_dict in self.urls:
            logger.info("开始爬取 [ " + self.website + " ] :::> [ " + url_dict['type'] + " ]")
            has_more = True
            url = None
            while has_more:
                if 'page' in url_dict.keys() and str.find(url_dict['url'], '{}') != -1:
                    url = url_dict['url'].format(str(url_dict['page']))
                    url_dict['page'] = url_dict['page'] + 1
                else:
                    url = url_dict['url']
                    has_more = False
                html = etree.HTML(request_page(url))
                tr_list = html.xpath("//table[@id='ip_list']//tr[@class!='subtitle']")
                for tr in tr_list:
                    ip = tr.xpath("./td[2]/text()")[0] if len(tr.xpath("./td[2]/text()")) else None
                    port = tr.xpath("./td[3]/text()")[0] if len(tr.xpath("./td[3]/text()")) else None
                    schema = tr.xpath("./td[6]/text()")[0] if len(tr.xpath("./td[6]/text()")) else None
                    if schema.lower() == "http" or schema.lower() == "https":
                        proxy = IPProxy(schema=strip(schema), ip=strip(ip), port=strip(port))
                        if proxy._check_format():
                            self.queue.push(proxy)
                if tr_list is None:
                    has_more = False

run.py

通过run.py启动各个代理网站爬虫。

# -*- coding: utf-8 -*-
import redis
from proxy_queue import FifoQueue
from settings import REDIS_HOST, REDIS_PORT
from proxy_crawlers import WuyouDailiCrawler, FeiyiDailiCrawler, KuaiDailiCrawler, IPhaiDailiCrawler, YunDailiCrawler, \
    XiCiDailiCrawler
 
r = redis.StrictRedis(host=REDIS_HOST, port=REDIS_PORT)
fifo_queue = FifoQueue(r)
 
 
def run_kuai():
    kuaidailiCrawler = KuaiDailiCrawler(queue=fifo_queue, website='快代理[国内高匿]',
                                        urls=[{'url': 'https://www.kuaidaili.com/free/inha/{}/', 'type': '国内高匿',
                                               'page': 1},
                                              {'url': 'https://www.kuaidaili.com/free/intr/{}/', 'type': '国内普通',
                                               'page': 1}])
    kuaidailiCrawler._start_crawl()
 
 
def run_feiyi():
    feiyidailiCrawler = FeiyiDailiCrawler(queue=fifo_queue, website='飞蚁代理',
                                          urls=[{'url': 'http://www.feiyiproxy.com/?page_id=1457', 'type': '首页推荐'}])
    feiyidailiCrawler._start_crawl()
 
 
def run_wuyou():
    wuyoudailiCrawler = WuyouDailiCrawler(queue=fifo_queue, website='无忧代理',
                                          urls=[{'url': 'http://www.data5u.com/free/index.html', 'type': '首页推荐'},
                                                {'url': 'http://www.data5u.com/free/gngn/index.shtml', 'type': '国内高匿'},
                                                {'url': 'http://www.data5u.com/free/gnpt/index.shtml', 'type': '国内普通'}])
    wuyoudailiCrawler._start_crawl()
 
 
def run_iphai():
    crawler = IPhaiDailiCrawler(queue=fifo_queue, website='IP海代理',
                                urls=[{'url': 'http://www.iphai.com/free/ng', 'type': '国内高匿'},
                                      {'url': 'http://www.iphai.com/free/np', 'type': '国内普通'},
                                      {'url': 'http://www.iphai.com/free/wg', 'type': '国外高匿'},
                                      {'url': 'http://www.iphai.com/free/wp', 'type': '国外普通'}])
    crawler._start_crawl()
 
 
def run_yun():
    crawler = YunDailiCrawler(queue=fifo_queue, website='云代理',
                              urls=[{'url': 'http://www.ip3366.net/free/?stype=1&page={}', 'type': '国内高匿', 'page': 1},
                                    {'url': 'http://www.ip3366.net/free/?stype=2&page={}', 'type': '国内普通', 'page': 1},
                                    {'url': 'http://www.ip3366.net/free/?stype=3&page={}', 'type': '国外高匿', 'page': 1},
                                    {'url': 'http://www.ip3366.net/free/?stype=4&page={}', 'type': '国外普通', 'page': 1}])
    crawler._start_crawl()
 
 
def run_xici():
    crawler = XiCiDailiCrawler(queue=fifo_queue, website='西刺代理',
                               urls=[{'url': 'https://www.xicidaili.com/', 'type': '首页推荐'},
                                     {'url': 'https://www.xicidaili.com/nn/{}', 'type': '国内高匿', 'page': 1},
                                     {'url': 'https://www.xicidaili.com/nt/{}', 'type': '国内普通', 'page': 1},
                                     {'url': 'https://www.xicidaili.com/wn/{}', 'type': '国外高匿', 'page': 1},
                                     {'url': 'https://www.xicidaili.com/wt/{}', 'type': '国外普通', 'page': 1}])
    crawler._start_crawl()
 
 
if __name__ == '__main__':
    run_xici()
    run_iphai()
    run_kuai()
    run_feiyi()
    run_yun()
    run_wuyou()

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如何搭建python爬虫代理池

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