如何修复我的 CSV / JSON 的 Scrapy 字典输出格式

Question

我的代码如下。我希望将结果提取到 CSV。但是，scrapy 会生成一个包含 2 个键的字典，并且所有值都集中在每个键中。输出看起来不太好。 我该如何解决。这可以通过管道/项目加载器等来完成吗...

非常感谢。

import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from scrapy.loader import ItemLoader
from scrapy.loader.processors import TakeFirst, MapCompose, Join
from gumtree1.items import GumtreeItems

class AdItemLoader(ItemLoader):
    jobs_in = MapCompose(unicode.strip)

class GumtreeEasySpider(CrawlSpider):
    name = 'gumtree_easy'
    allowed_domains = ['gumtree.com.au']
    start_urls = ['http://www.gumtree.com.au/s-jobs/page-2/c9302?ad=offering']

    rules = (
        Rule(LinkExtractor(restrict_xpaths='//a[@class="rs-paginator-btn next"]'), callback='parse_item', follow=True),
    )

    def parse_item(self, response):
        loader = AdItemLoader(item=GumtreeItems(), response=response)
        loader.add_xpath('jobs','//div[@id="recent-sr-title"]/following-sibling::*//*[@itemprop="name"]/text()')
        loader.add_xpath('location', '//div[@id="recent-sr-title"]/following-sibling::*//*[@class="rs-ad-location-area"]/text()')
        yield loader.load_item() 

结果：

2016-03-16 01:51:32 [scrapy] DEBUG: Scraped from <200 http://www.gumtree.com.au/s-jobs/page-5/c9302?ad=offering>
{'jobs': [u'Technical Account Manager',
          u'Service & Maintenance Advisor',
          u'we are hiring motorbike driver delivery leaflet.Strat NOW(BE...',
          u'Casual Gardner/landscape maintenance labourer',
          u'Seeking for Experienced Builders Cleaners with white card',
          u'Babysitter / home help for approx 2 weeks',
          u'Toothing brickwork | Dapto',
          u'EXPERIENCED CHEF',
          u'ChildCare Trainee Wanted',
          u'Skilled Pipelayers & Drainer- Sydney Region',
          u'Casual staff required for Royal Easter Show',
          u'Fencing contractor',
          u'Excavator & Loader Operator',
          u'***EXPERIENCED STRAWBERRY AND RASPBERRY PICKERS WANTED***',
          u'Kitchenhand required for Indian restaurant',
          u'Taxi Driver Wanted',
          u'Full time nanny/sitter',
          u'Kitchen hand and meal packing',
          u'Depot Assistant Required',
          u'hairdresser Junior apprentice required for salon in Randwick',
          u'Insulation Installers Required',
          u'The Knox is seeking a new apprentice',
          u'Medical Receptionist Needed in Bankstown Area - Night Shifts',
          u'On Call Easy Work, Do you live in Berala, Lidcombe or Auburn...',
          u'Looking for farm jon'],
 'location': [u'Melbourne City',
              u'Eastern Suburbs',
              u'Rockdale Area',
              u'Logan Area',
              u'Greater Dandenong',
              u'Brisbane North East',
              u'Kiama Area',
              u'Byron Area',
              u'Dardanup Area',
              u'Blacktown Area',
              u'Auburn Area',
              u'Kingston Area',
              u'Inner Sydney',
              u'Northern Midlands',
              u'Inner Sydney',
              u'Hume Area',
              u'Maribyrnong Area',
              u'Perth City',
              u'Brisbane South East',
              u'Eastern Suburbs',
              u'Gold Coast South',
              u'North Canberra',
              u'Bankstown Area',
              u'Auburn Area',
              u'Gingin Area']}

应该是这样吧。工作和位置作为单独的字典？这可以在单独的单元格中正确写入带有 Jobs 和 Location 的 CSV，但我发现使用 for 循环和 zip 不应该是最好的方法。

import scrapy
from gumtree1.items import GumtreeItems

class AussieGum1Spider(scrapy.Spider):
    name = "aussie_gum1"
    allowed_domains = ["gumtree.com.au"]
    start_urls = (
        'http://www.gumtree.com.au/s-jobs/page-2/c9302?ad=offering',
    )

    def parse(self, response):
        item = GumtreeItems()
        jobs = response.xpath('//div[@id="recent-sr-title"]/following-sibling::*//*[@itemprop="name"]/text()').extract()
        location = response.xpath('//div[@id="recent-sr-title"]/following-sibling::*//*[@class="rs-ad-location-area"]/text()').extract()
        for j, l in zip(jobs, location):
            item['jobs'] = j.strip()
            item['location'] = l
            yield item

部分结果如下。

2016-03-16 02:20:46 [scrapy] DEBUG: Crawled (200) <GET http://www.gumtree.com.au/s-jobs/page-3/c9302?ad=offering> (referer: http://www.gumtree.com.au/s-jobs/page-2/c9302?ad=offering)
2016-03-16 02:20:46 [scrapy] DEBUG: Scraped from <200 http://www.gumtree.com.au/s-jobs/page-3/c9302?ad=offering>
{'jobs': u'Live In Au pair-Urgent', 'location': u'Wanneroo Area'}
2016-03-16 02:20:46 [scrapy] DEBUG: Scraped from <200 http://www.gumtree.com.au/s-jobs/page-3/c9302?ad=offering>
{'jobs': u'live in carer', 'location': u'Fraser Coast'}
2016-03-16 02:20:46 [scrapy] DEBUG: Scraped from <200 http://www.gumtree.com.au/s-jobs/page-3/c9302?ad=offering>
{'jobs': u'Mental Health Nurse', 'location': u'Perth Region'}
2016-03-16 02:20:46 [scrapy] DEBUG: Scraped from <200 http://www.gumtree.com.au/s-jobs/page-3/c9302?ad=offering>
{'jobs': u'Experienced NBN pit and pipe installers/node and cabinet wor...',
 'location': u'Marrickville Area'}
2016-03-16 02:20:46 [scrapy] DEBUG: Scraped from <200 http://www.gumtree.com.au/s-jobs/page-3/c9302?ad=offering>
{'jobs': u'Delivery Driver / Pizza Maker Job - Dominos Pizza',
 'location': u'Hurstville Area'}

非常感谢。

Answer 1

每个项目都有一个父选择器，并提取与其相关的job 和location：

rows = response.xpath('//div[@id="recent-sr-title"]/following-sibling::*')
for row in rows:
    item = GumtreeItems()
    item['jobs'] = row.xpath('.//*[@itemprop="name"]/text()').extract_first().strip()
    item['location'] = row.xpath('.//*[@class="rs-ad-location-area"]/text()').extract_first().strip()
    yield item

Answer 2

说实话，使用 for 循环是正确的方法，但您可以在管道上解决它：

from scrapy.http import Response
from gumtree1.items import GumtreeItems, CustomItem
from scrapy.exceptions import DropItem


class CustomPipeline(object):

    def __init__(self, crawler):
        self.crawler = crawler

    @classmethod
    def from_crawler(cls, crawler):
        return cls(crawler)

    def process_item(self, item, spider):
        if isinstance(item, GumtreeItems):
            for i, jobs in enumerate(item['jobs']):
                self.crawler.engine.scraper._process_spidermw_output(
                    CustomItem(jobs=jobs, location=item['location'][i]), None, Response(''), spider)
            raise DropItem("main item dropped")
        return item

同时添加自定义项：

class CustomItem(scrapy.Item):
    jobs = scrapy.Field()
    location = scrapy.Field()

希望这会有所帮助，我认为您应该再次使用循环。