scrapy自定义pipeline类实现将采集数据保存到mongodb的方法
发布时间:2020-12-16 19:58:17 所属栏目:Python 来源:网络整理
导读:本篇章节讲解scrapy自定义pipeline类实现将采集数据保存到mongodb的方法。供大家参考研究。具体如下: # Standard Python library imports# 3rd party modulesimport pymongofrom scrapy import logfrom scrapy.conf import settingsfrom scrapy.exc
本篇章节讲解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 %sn' % (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。 (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |