线程中运行scrapy方法

本文介绍了一个使用Python Scrapy框架实现多线程爬虫的应用实例。通过定义CrawlerThread类继承自threading.Thread,实现了多个站点的并发爬取,并展示了如何控制爬虫的启动、停止及阻塞等待直至爬取完成。此外,还演示了信号处理和线程间通信的方法。
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代码如下:

import threading, Queue
  
from twisted.internet import reactor
  
from scrapy.xlib.pydispatch import dispatcher
from scrapy.core.manager import scrapymanager
from scrapy.core.engine import scrapyengine
from scrapy.core import signals
  
class CrawlerThread(threading.Thread):
  
    def __init__(self):
        threading.Thread.__init__(self)
        self.running = False
  
    def run(self):
        self.running = True
        scrapymanager.configure(control_reactor=False)
        scrapymanager.start()
        reactor.run(installSignalHandlers=False)
  
    def crawl(self, *args):
        if not self.running:
            raise RuntimeError("CrawlerThread not running")
        self._call_and_block_until_signal(signals.spider_closed, \
            scrapymanager.crawl, *args)
  
    def stop(self):
        reactor.callFromThread(scrapyengine.stop)
  
    def _call_and_block_until_signal(self, signal, f, *a, **kw):
        q = Queue.Queue()
        def unblock():
            q.put(None)
        dispatcher.connect(unblock, signal=signal)
        reactor.callFromThread(f, *a, **kw)
        q.get()
  
  
# Usage example below:
  
import os
os.environ.setdefault('SCRAPY_SETTINGS_MODULE', 'myproject.settings')
  
from scrapy.xlib.pydispatch import dispatcher
from scrapy.core import signals
from scrapy.conf import settings
from scrapy.crawler import CrawlerThread
  
settings.overrides['LOG_ENABLED'] = False # avoid log noise
  
def item_passed(item):
    print "Just scraped item:", item
  
dispatcher.connect(item_passed, signal=signals.item_passed)
  
crawler = CrawlerThread()
print "Starting crawler thread..."
crawler.start()
print "Crawling somedomain.com...."
crawler.crawl('somedomain.com) # blocking call
print "Crawling anotherdomain.com..."
crawler.crawl('anotherdomain.com') # blocking call
print "Stopping crawler thread..."
crawler.stop()

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