python使用rabbitmq实现网络爬虫示例

编写tasks.py
代码如下:
from celery import Celery
from tornado.httpclient import HTTPClient
app = Celery('tasks')
app.config_from_object('celeryconfig')
@app.task
def get_html(url):
    http_client = HTTPClient()
    try:
        response = http_client.fetch(url,follow_redirects=True)
        return response.body
    except httpclient.HTTPError as e:
        return None
    http_client.close()

编写celeryconfig.py
代码如下:
CELERY_IMPORTS = ('tasks',)
BROKER_URL = 'amqp://guest@localhost:5672//'
CELERY_RESULT_BACKEND = 'amqp://'

编写spider.py
代码如下:
from tasks import get_html
from queue import Queue
from bs4 import BeautifulSoup
from urllib.parse import urlparse,urljoin
import threading
class spider(object):
    def __init__(self):
        self.visited={}
        self.queue=Queue()
    def process_html(self, html):
        pass
        #print(html)
    def _add_links_to_queue(self,url_base,html):
        soup = BeautifulSoup(html)
        links=soup.find_all('a')
        for link in links:
            try:
                url=link['href']
            except:
                pass
            else:
                url_com=urlparse(url)
                if not url_com.netloc:
                    self.queue.put(urljoin(url_base,url))
                else:
                    self.queue.put(url_com.geturl())
    def start(self,url):
        self.queue.put(url)
        for i in range(20):
            t = threading.Thread(target=self._worker)
            t.daemon = True
            t.start()