信息：爬取 0 页（以 0 页/分钟），抓取 0 项（以 0 项/分钟）

Question

我刚开始学习 Python 和 Scrapy。 我的第一个项目是在包含网络安全信息的网站上抓取信息。但是当我使用 cmd 运行它时，它说“抓取了 0 页（以 0 页/分钟），抓取了 0 个项目（以 0 个项目/分钟）”，但似乎没有任何结果。如果有人能解决我的问题，我将不胜感激。

我的代码：

import scrapy

class SapoSpider(scrapy.Spider):
name = "imo"
allowed_domains = ["imovirtual.com"]
start_urls = ["https://www.imovirtual.com/arrendar/apartamento/lisboa/"]

def parse(self,response):
    subpage_links = []
    for i in response.css('div.offer-item-details'):
        youritem = {
        'preco':i.css('span.offer-item title::text').extract_first(),
        'autor':i.css('li.offer-item-price::text').extract(),
        'data':i.css('li.offer-item-area::text').extract(),
        'data_2':i.css('li.offer-item-price-perm::text').extract()
        }
        subpage_link = i.css('header[class=offer-item-header] a::attr(href)').extract()
        subpage_links.extend(subpage_link)

        for subpage_link in subpage_links:
            yield scrapy.Request(subpage_link, callback=self.parse_subpage, meta={'item':youritem})

def parse_subpage(self,response):
    for j in response.css('header[class=offer-item-header] a::attr(href)'):
        youritem = response.meta.get('item')
        youritem['info'] = j.css(' ul.dotted-list, li.h4::text').extract()
        yield youritem

Answer 1

要使其正常工作，需要纠正两件事：

• 您需要使用要存储结果的路径来定义 FEED_URI 设置

• parse_subpage中需要使用response，因为逻辑如下: scrapy downloads "https://www.imovirtual.com/arrendar/apartamento/lisboa/" and gives the response toparse, you extract ads url and you ask scrapy to download each pages and give the downloaded pages toparse_subpage. Soresponseinparse_subpage`对应这个https://www.imovirtual.com/anuncio/t0-totalmente-remodelado-localizacao-excelente-IDGBAY.html#913474cdaa例子

这应该可行：

import scrapy


class SapoSpider(scrapy.Spider):
    name = "imo"
    allowed_domains = ["imovirtual.com"]
    start_urls = ["https://www.imovirtual.com/arrendar/apartamento/lisboa/"]
    custom_settings = {
        'FEED_URI': './output.json'
    }
    def parse(self,response):
        subpage_links = []
        for i in response.css('div.offer-item-details'):
            youritem = {
            'preco':i.css('span.offer-item title::text').extract_first(),
            'autor':i.css('li.offer-item-price::text').extract(),
            'data':i.css('li.offer-item-area::text').extract(),
            'data_2':i.css('li.offer-item-price-perm::text').extract()
            }
            subpage_link = i.css('header[class=offer-item-header] a::attr(href)').extract()
            subpage_links.extend(subpage_link)

            for subpage_link in subpage_links:
                yield scrapy.Request(subpage_link, callback=self.parse_subpage, meta={'item':youritem})

    def parse_subpage(self,response):
        youritem = response.meta.get('item')
        youritem['info'] = response.css(' ul.dotted-list, li.h4::text').extract()
        yield youritem