本文实例讲述了php与python实现的线程池多线程爬虫功能。分享给大家供大家参考，具体如下：
多线程爬虫可以用于抓取内容了这个可以提升性能了，这里我们来看php与python 线程池多线程爬虫的例子，代码如下：
php例子
<?php
class Connect extends Worker //worker模式
{
public function __construct()
{
}
public function getConnection()
{
if (!self::$ch)
{
self::$ch = curl_init();
curl_setopt(self::$ch, CURLOPT_TIMEOUT, 2);
curl_setopt(self::$ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt(self::$ch, CURLOPT_HEADER, 0);
curl_setopt(self::$ch, CURLOPT_NOSIGNAL, true);
curl_setopt(self::$ch, CURLOPT_USERAGENT, "Firefox");
curl_setopt(self::$ch, CURLOPT_FOLLOWLOCATION, 1);
}
/* do some exception/error stuff here maybe */
return self::$ch;
}
public function closeConnection()
{
curl_close(self::$ch);
}
/**
* Note that the link is stored statically, which for pthreads, means thread local
* */
protected static $ch;
}
class Query extends Threaded
{
public function __construct($url)
{
$this->url = $url;
}
public function run()
{
$ch = $this->worker->getConnection();
curl_setopt($ch, CURLOPT_URL, $this->url);
$page = curl_exec($ch);
$info = curl_getinfo($ch);
$error = curl_error($ch);
$this->deal_data($this->url, $page, $info, $error);
$this->result = $page;
}
function deal_data($url, $page, $info, $error)
{
$parts = explode(".", $url);
$id = $parts[1];
if ($info['http_code'] != 200)
{
$this->show_msg($id, $error);
} else
{
$this->show_msg($id, "OK");
}
}
function show_msg($id, $msg)
{
echo $id."\t$msg\n";
}
public function getResult()
{
return $this->result;
}
protected $url;
protected $result;
}
function check_urls_multi_pthreads()
{
global $check_urls; //定义抓取的连接
$check_urls = array( 'http://xxx.com' => "xx网",);
$pool = new Pool(10, "Connect", array()); //建立10个线程池
foreach ($check_urls as $url => $name)
{
$pool->submit(new Query($url));
}
$pool->shutdown();
}
check_urls_multi_pthreads();
python 多线程
def handle(sid)://这个方法内执行爬虫数据处理
pass
class MyThread(Thread):
"""docstring for ClassName"""
def __init__(self, sid):
Thread.__init__(self)
self.sid = sid
def run():
handle(self.sid)
threads = []
for i in xrange(1,11):
t = MyThread(i)
threads.append(t)
t.start()
for t in threads:
t.join()
python 线程池爬虫：
from queue import Queue
from threading import Thread, Lock
import urllib.parse
import socket
import re
import time
seen_urls = set(['/'])
lock = Lock()
class Fetcher(Thread):
def __init__(self, tasks):
Thread.__init__(self)
self.tasks = tasks
self.daemon = True
self.start()
def run(self):
while True:
url = self.tasks.get()
print(url)
sock = socket.socket()
sock.connect(('localhost', 3000))
get = 'GET {} HTTP/1.0\r\nHost: localhost\r\n\r\n'.format(url)
sock.send(get.encode('ascii'))
response = b''
chunk = sock.recv(4096)
while chunk:
response += chunk
chunk = sock.recv(4096)
links = self.parse_links(url, response)
lock.acquire()
for link in links.difference(seen_urls):
self.tasks.put(link)
seen_urls.update(links)
lock.release()
self.tasks.task_done()
def parse_links(self, fetched_url, response):
if not response:
print('error: {}'.format(fetched_url))
return set()
if not self._is_html(response):
return set()
urls = set(re.findall(r'''(?i)href=["']?([^\s"'<>]+)''',
self.body(response)))
links = set()
for url in urls:
normalized = urllib.parse.urljoin(fetched_url, url)
parts = urllib.parse.urlparse(normalized)
if parts.scheme not in ('', 'http', 'https'):
continue
host, port = urllib.parse.splitport(parts.netloc)
if host and host.lower() not in ('localhost'):
continue
defragmented, frag = urllib.parse.urldefrag(parts.path)
links.add(defragmented)
return links
def body(self, response):
body = response.split(b'\r\n\r\n', 1)[1]
return body.decode('utf-8')
def _is_html(self, response):
head, body = response.split(b'\r\n\r\n', 1)
headers = dict(h.split(': ') for h in head.decode().split('\r\n')[1:])
return headers.get('Content-Type', '').startswith('text/html')
class ThreadPool:
def __init__(self, num_threads):
self.tasks = Queue()
for _ in range(num_threads):
Fetcher(self.tasks)
def add_task(self, url):
self.tasks.put(url)
def wait_completion(self):
self.tasks.join()
if __name__ == '__main__':
start = time.time()
pool = ThreadPool(4)
pool.add_task("/")
pool.wait_completion()
print('{} URLs fetched in {:.1f} seconds'.format(len(seen_urls),time.time() - start))
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