Scrapy:如何为每个数据输出多行

时间:2017-12-19 09:22:20

标签: python xpath scrapy

我已经用python scrapy编写了一个脚本来解析价格比较网站上的一些项目。我对结果不满意,因为脚本会将所有结果排成一行,如:

price,seller
"4,4,4,4,4,4,4,4,4,4","Opinie o ewitaldo.pl,Opinie o dobrazielarnia.pl,Opinie o brokulek.pl,Opinie o delikatesyznatury.pl,Opinie o bialastokrotka.pl,Opinie o aleeko.pl,Opinie o aptekamini.pl,Opinie o farmeko24.pl,Opinie o straganzdrowia.pl,Opinie o bdsklep.pl"

我需要的是:

price,seller
4,Opinie o ewitaldo.pl
4,Opinie o dobrazielarnia.pl
4,Opinie o brokulek.pl
4,Opinie o delikatesyznatury.pl
4,Opinie o bialastokrotka.pl
4,Opinie o aleeko.pl
4,Opinie o aptekamini.pl
4,Opinie o farmeko24.pl
4,Opinie o straganzdrowia.pl
4,Opinie o bdsklep.pl

这是我的蜘蛛代码:

import scrapy
from ceneo.items import CeneoItem


class QuotesSpider(scrapy.Spider):
    name = "quotes"

    def start_requests(self):
        urls = [
            'https://www.ceneo.pl/33022301'
        ]
        for url in urls:
            yield scrapy.Request(url=url, callback=self.parse)          

    def parse(self, response):
        items = CeneoItem()
        sale_price = response.xpath('(//td[@class="cell-price"] /a/span/span/span[@class="value"]/text())[position() <= 10]').extract()
        seller = response.xpath('(//tr/td/div/ul/li/a[@class="js_product-offer-link"]/text())[position()<=10]').extract()
        items['product_sale_price'] = ''.join(sale_price).strip()
        items['product_seller'] = ''.join(seller).strip()
        yield {'price': sale_price, 'seller': seller}

应该更改什么才能获得更好的csv输出?

2 个答案:

答案 0 :(得分:3)

您必须使用zip()priceseller分组,然后分别yield分组

def parse(self, response):

    all_prices = response.xpath('(//td[@class="cell-price"] /a/span/span/span[@class="value"]/text())[position() <= 10]').extract()
    all_sellers = response.xpath('(//tr/td/div/ul/li/a[@class="js_product-offer-link"]/text())[position()<=10]').extract()

    for price, seller in zip(all_prices, all_sellers):
        yield {'price': price.strip(), 'seller': seller.strip()}

答案 1 :(得分:-1)

您拥有sale_price和卖家价值。

sale_data = [sale_price, seller]
final_list = [zip(*sale_data)[i] for i in xrange(len(sale_price))]

这个final_list会有不同的结果。

[(u'2893', u'Opinie o klimasklep.pl'), (u'2999', u'Opinie o wentsystem.com'), (u'3419', u'Opinie o master.sklep.pl'), (u'2893', u'Opinie o elektrozilla.pl'), (u'2895', u'Opinie o mk.net.pl'), (u'2949', u'Opinie o e-master.pl'), (u'2960', u'Opinie o kajt24.pl'), (u'2999', u'Opinie o klimatop.pl'), (u'2999', u'Opinie o fabryka-komfortu.pl'), (u'3041', u'Opinie o pajm.pl')]