Python，Scrapy，Pipeline:函数“process_item”未被调用

Question

我有一个非常简单的代码，如下所示。抓取没问题，我可以看到所有生成正确数据的print语句。在Pipeline中，初始化工作正常。但是，process_item函数没有被调用，因为函数开头的print语句从未执行过。在

蜘蛛：comosham.py在

import scrapy
from scrapy.spider import Spider
from scrapy.selector import Selector
from scrapy.http import Request
from activityadvisor.items import ComoShamLocation
from activityadvisor.items import ComoShamActivity
from activityadvisor.items import ComoShamRates
import re


class ComoSham(Spider):
    name = "comosham"
    allowed_domains = ["www.comoshambhala.com"]
    start_urls = [
        "http://www.comoshambhala.com/singapore/classes/schedules",
        "http://www.comoshambhala.com/singapore/about/location-contact",
        "http://www.comoshambhala.com/singapore/rates-and-offers/rates-classes",
        "http://www.comoshambhala.com/singapore/rates-and-offers/rates-classes/rates-private-classes"
    ]

    def parse(self, response):  
        category = (response.url)[39:44]
        print 'in parse'
        if category == 'class':
            pass
            """self.gen_req_class(response)"""
        elif category == 'about':
            print 'about to call parse_location'
            self.parse_location(response)
        elif category == 'rates':
            pass
            """self.parse_rates(response)"""
        else:
            print 'Cant find appropriate category! check check check!! Am raising Level 5 ALARM - You are a MORON :D'


    def parse_location(self, response):
        print 'in parse_location'       
        item = ComoShamLocation()
        item['category'] = 'location'
        loc = Selector(response).xpath('((//div[@id = "node-2266"]/div/div/div)[1]/div/div/p//text())').extract()
        item['address'] = loc[2]+loc[3]+loc[4]+(loc[5])[1:11]
        item['pin'] = (loc[5])[11:18]
        item['phone'] = (loc[9])[6:20]
        item['fax'] = (loc[10])[6:20]
        item['email'] = loc[12]
        print item['address'],item['pin'],item['phone'],item['fax'],item['email']
        return item

项目文件：

^{pr2}$

管道文件：

class ComoShamPipeline(object):
    def __init__(self):
        self.locationdump = csv.writer(open('./scraped data/ComoSham/ComoshamLocation.csv','wb'))
        self.locationdump.writerow(['Address','Pin','Phone','Fax','Email'])


    def process_item(self,item,spider):
        print 'processing item now'
        if item['category'] == 'location':
            print item['address'],item['pin'],item['phone'],item['fax'],item['email']
            self.locationdump.writerow([item['address'],item['pin'],item['phone'],item['fax'],item['email']])
        else:
            pass

Answer 1

加上上面的答案，
1请记住将以下行添加到py设置! ITEM_PIPELINES = {'[YOUR_PROJECT_NAME].pipelines.[YOUR_PIPELINE_CLASS]': 300} 2当你的蜘蛛跑的时候交出物品！ yield my_item