如何使用scrapy刮擦两个不同的域?

问题描述 投票:0回答:1

嗨我想在我的脚本中刮掉2个不同的域我已经尝试了我的if语句,但我似乎它不起作用,请问有什么想法吗?

这是我的代码

class SalesitemSpiderSpider(scrapy.Spider):
    name = 'salesitem_spider'
    allowed_domains = ['www2.hm.com']
    start_urls = [
         'https://www2.hm.com/en_us/sale/shopbyproductladies/view-all.html?sort=stock&image-size=small&image=stillLife&offset=0&page-size=9999',
         'https://www.forever21.com/us/shop/catalog/category/f21/sale',
     ]

    def parse_start_url(response):
        if (response.url == 'https://www2.hm.com/en_us/sale/shopbyproductladies/view-all.html?sort=stock&image-size=small&image=stillLife&offset=0&page-size=9999'):
            parse_1(response)
        if (response.url == 'https://www.forever21.com/us/shop/catalog/category/f21/sale'):
            parse_2(response)

    def parse_1(self, response):
        for product_item in response.css('li.product-item'):
            item = {
                'title': product_item.css('h3.item-heading a.link::text').extract_first(),
                'regular-price': product_item.css('strong.item-price span.price.regular::text').extract_first(),
                'sale-price': product_item.css('strong.item-price span.price.sale::text').extract_first(),
                'photo-url': product_item.css('.image-container img::attr(data-src)').extract_first(),
                'description-url': "https://www2.hm.com/" + product_item.css('h3.item-heading a::attr(href)').extract_first(),
            }
            yield item

    def parse_2(self, response):
        #Some code getting item on domain 2

请帮忙谢谢

python web-scraping scrapy
1个回答
2
投票

检查你的allowed_domains变量。您应该添加新域名,例如['www2.hm.com', 'forever21.com']或删除它。你也没有parse功能。

我可以假设用start_urls删除你的if并使用start_requests代替。您的代码将更具可读性。

import scrapy


class SalesitemSpiderSpider(scrapy.Spider):
    name = 'salesitem_spider'
    allowed_domains = ['www2.hm.com', 'forever21.com']

    def start_requests(self):
        urls = (
            (self.parse_1, 'https://www2.hm.com/en_us/sale/shopbyproductladies/view-all.html?sort=stock&image-size=small&image=stillLife&offset=0&page-size=9999'),
            (self.parse_2, 'https://www.forever21.com/us/shop/catalog/category/f21/sale'),
        )
        for cb, url in urls:
            yield scrapy.Request(url, callback=cb)

    def parse_1(self, response):
        print 111111111

    def parse_2(self, response):
        print 2222222222
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