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本文實例講述了scrapy自定義pipeline類實現將采集數據保存到mongodb的方法。分享給大家供大家參考。具體如下：

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									# Standard Python library imports

									# 3rd party modules

									import pymongo

									from scrapy import log

									from scrapy.conf import settings

									from scrapy.exceptions import DropItem

									class MongoDBPipeline(object):

									  def __init__(self):

									    self.server = settings['MONGODB_SERVER']

									    self.port = settings['MONGODB_PORT']

									    self.db = settings['MONGODB_DB']

									    self.col = settings['MONGODB_COLLECTION']

									    connection = pymongo.Connection(self.server, self.port)

									    db = connection[self.db]

									    self.collection = db[self.col]

									  def process_item(self, item, spider):

									    err_msg = ''

									    for field, data in item.items():

									      if not data:

									        err_msg += 'Missing %s of poem from %s\n' % (field, item['url'])

									    if err_msg:

									      raise DropItem(err_msg)

									    self.collection.insert(dict(item))

									    log.msg('Item written to MongoDB database %s/%s' % (self.db, self.col),

									        level=log.DEBUG, spider=spider)

									    return item