Python 刮痕：每件一行

我正在使用scrapy为architonic*com上的产品清理分类页面。但是，我希望以csv格式显示这些产品，每行显示一个。在当前情况下，给定类别页面中的所有品牌名称都列在“品牌”下，而我希望有如下输出：

    {'brand': [u'Elisabeth Ellefsen'],
     'title': [u'Up chair I 907'],
     'img_url': [u'http://image.architonic.com/img_pro1-1/117/4373/t-up-06f-sq.jpg'],
     'link': [u'http://www.architonic.com/pmsht/up-chair-tonon/1174373']
    }

2013-01-14 11:53:23+0100 [archi] DEBUG: Scraped from <200 http://www.architonic.com/pmpro/home-furnishings/3210002/2/2/3>
{'brand':   [u'Softline',
             u'Elisabeth Ellefsen',
             u'Sellex',
             u'Lievore Altherr Molina',
             u'Poliform',
             .....
             u'Hans Thyge & Co.'],
 'img_url': [u'http://image.architonic.com/img_pro1-1/117/3661/terra-h-sq.jpg',
             u'http://image.architonic.com/img_pro1-1/117/0852/fly-01-sq.jpg',
             u'http://image.architonic.com/img_pro1-1/116/9870/ley-0004-sq.jpg',
             u'http://image.architonic.com/img_pro1-1/117/1023/arflex-hollywood-03-sq.jpg',
             ...
             u'http://image.architonic.com/img_pro1-1/118/5357/reef-002-sq.jpg'],
 'link':    [u'http://www.architonic.com/pmsht/terra-softline/1173661',
             u'http://www.architonic.com/pmsht/fly-sellex/1170852',
             u'http://www.architonic.com/pmsht/ley-poliform/1169870',
             .....
             u'http://www.architonic.com/pmsht/reef-collection-labofa/1185357'],
 'title':   [u'Terra',
             u'Fly',
             u'Ley chair',
                 .....
             u'Hollywood Sofa',
             u'Pouff Round']}

我尝试使用项目加载器（添加了default\u output\u processor=TakeFirst（）），添加了“yield Item”（参见注释代码），并在两天内搜索以找到解决方案，但运气不佳。希望有人愿意帮助我。非常感谢您的帮助

我的输出结果如下所示：

    {'brand': [u'Elisabeth Ellefsen'],
     'title': [u'Up chair I 907'],
     'img_url': [u'http://image.architonic.com/img_pro1-1/117/4373/t-up-06f-sq.jpg'],
     'link': [u'http://www.architonic.com/pmsht/up-chair-tonon/1174373']
    }

2013-01-14 11:53:23+0100 [archi] DEBUG: Scraped from <200 http://www.architonic.com/pmpro/home-furnishings/3210002/2/2/3>
{'brand':   [u'Softline',
             u'Elisabeth Ellefsen',
             u'Sellex',
             u'Lievore Altherr Molina',
             u'Poliform',
             .....
             u'Hans Thyge & Co.'],
 'img_url': [u'http://image.architonic.com/img_pro1-1/117/3661/terra-h-sq.jpg',
             u'http://image.architonic.com/img_pro1-1/117/0852/fly-01-sq.jpg',
             u'http://image.architonic.com/img_pro1-1/116/9870/ley-0004-sq.jpg',
             u'http://image.architonic.com/img_pro1-1/117/1023/arflex-hollywood-03-sq.jpg',
             ...
             u'http://image.architonic.com/img_pro1-1/118/5357/reef-002-sq.jpg'],
 'link':    [u'http://www.architonic.com/pmsht/terra-softline/1173661',
             u'http://www.architonic.com/pmsht/fly-sellex/1170852',
             u'http://www.architonic.com/pmsht/ley-poliform/1169870',
             .....
             u'http://www.architonic.com/pmsht/reef-collection-labofa/1185357'],
 'title':   [u'Terra',
             u'Fly',
             u'Ley chair',
                 .....
             u'Hollywood Sofa',
             u'Pouff Round']}

items.py

import string
import re

from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector                   
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.utils.markup import remove_entities 
from archiscraper.items import ArchiItemFields, ArchiLoader

class ArchiScraper(BaseSpider):
    name = "archi"
    allowed_domains = ["architonic.com"]
    start_urls = ['http://www.architonic.com/pmpro/home-furnishings/3210002/2/2/%s' % page for page in xrange(1, 4)]    
    # rules = (Rule(SgmlLinkExtractor(allow=('.', ),restrict_xpaths=('//*[@id="right_arrow"]',))
    #       , callback="parse_items", follow= True),
    #       )
    #            
    def parse(self, response):
        hxs = HtmlXPathSelector(response)
        sites = hxs.select('//li[contains(@class, "nav_pro_item")]')
        items = []
        for site in sites:
            item = ArchiLoader(ArchiItemFields(), site)
            item.add_xpath('brand',       '//*[contains(@class, "nav_pro_text")]/a/br/following-sibling::node()[1][self::text()]')
            item.add_xpath('designer',       '//*[contains(@class, "nav_pro_text")]/a/br/following-sibling::node()[3][self::text()]')
            item.add_xpath('title',       '//*[contains(@class, "nav_pro_text")]/a/strong/text()')                   
            item.add_xpath('img_url',   '//li[contains(@class, "nav_pro_item")]/div/a/img/@src[1]')                     
            item.add_xpath('link',    '//*[contains(@class, "nav_pro_text")]/a/@href')
            items.append(item.load_item())      
            return items
            # for item in items:
                # yield item  

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/topics/items.html
import string
from scrapy.item import Item, Field   
from scrapy.contrib.loader.processor import MapCompose, Join, TakeFirst
from scrapy.utils.markup import remove_entities 
from scrapy.contrib.loader import XPathItemLoader  

class ArchiItem():
    pass

class ArchiItemFields(Item):
    brand = Field()
    title = Field()
    designer = Field()
    img_url = Field()
    img = Field()
    link = Field() 
    pass

class ArchiLoader(XPathItemLoader):
    # default_input_processor = MapCompose(unicode.strip)
    # default_output_processor= TakeFirst()  

    brand_out = MapCompose(unicode.strip)
    # title_out = Join()    

---

只需在结束后返回旅游项目列表，即

for site in sites:
            item = ArchiLoader(ArchiItemFields(), site)
            item.add_xpath('brand',       '//*[contains(@class, "nav_pro_text")]/a/br/following-sibling::node()[1][self::text()]')
            item.add_xpath('designer',       '//*[contains(@class, "nav_pro_text")]/a/br/following-sibling::node()[3][self::text()]')
            item.add_xpath('title',       '//*[contains(@class, "nav_pro_text")]/a/strong/text()')                   
            item.add_xpath('img_url',   '//li[contains(@class, "nav_pro_item")]/div/a/img/@src[1]')                     
            item.add_xpath('link',    '//*[contains(@class, "nav_pro_text")]/a/@href')
            items.append(item.load_item())      
return items

---

希望有帮助：）

请包含items.py文件，因为没有它，此代码将无法运行。：）谢谢，我添加了items.py！：）CSV？但您的数据结构是JSON。那怎么了？如果您想要单独的项目列表，您应该首先获取项目容器，然后从中提取所需的数据。这是Scrapy的输出。没问题-我在settings.py中定义了一个自定义提要导出器/管道以导出到csv。有什么解决方案可以解决我的问题吗？这个答案是否提供了@Joost的值？