本文实例讲述了scrapy自定义pipeline类实现将采集数据保存到mongodb的方法。分享给大家供大家参考。具体如下：
# 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
希望本文所述对大家的python程序设计有所帮助。
