在scrapy中使用mongodb管道

pipelines.py

import json
from scrapy.conf import settings
from pymongo import MongoClient

class SunPipeline(object):
    def open_spider(self,spider):
        self.file = open('dongguan.json','w')

    def process_item(self, item, spider):
        str_data = json.dumps(dict(item),ensure_ascii=False) + ',\n'
        self.file.write(str_data)
        return item

    def close_spider(self,spider):
        self.file.close()

class MongoPipeline(object):
    def __init__(self):
        # 获取数据库参数
        host = settings['MONGO_HOST']
        port = settings['MONGO_PORT']
        dbname = settings['MONGO_DBNAME']
        colname = settings['MONGO_COLNAME']

        # 连接数据库
        self.client = MongoClient(host, port)
        # 选择数据库
        self.db = self.client[dbname]

        # 选择集合
        self.col = self.db[colname]

    def process_item(self, item, spider):
        data = dict(item)

        self.col.insert(data)

        return item

    def __del__(self):
        # 关闭数据库链接
        self.client.close()

　　

settings.py

BOT_NAME = 'Sun'

SPIDER_MODULES = ['Sun.spiders']
NEWSPIDER_MODULE = 'Sun.spiders'

MONGO_HOST = '127.0.0.1'
MONGO_PORT = 27017
MONGO_DBNAME = 'Sun'
MONGO_COLNAME = 'dongguan'

ITEM_PIPELINES = {
   'Sun.pipelines.SunPipeline': 300,
   'Sun.pipelines.MongoPipeline': 301,
}