python - INFO : Crawled 0 pages (at 0 pages/min), 抓取了 0 件元素(0 件/分钟)

Question

刚开始学习Python和Scrapy。我的第一个元素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 个元素(以 0 元素/分钟)”并且似乎没有任何结果。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

• 需要在parse_subpage中使用response，因为逻辑如下: scrapy downloads "https://www.imovirtual.com/arrendar/apartamento/lisboa/"并给出对 parse 的响应，您提取广告 url 并要求 scrapy 下载每个页面并将下载的页面提供给 parse_subpage。所以responseinparse_subpage`对应这个https://www.imovirtual.com/anuncio/t0-totalmente-remodelado-localizacao-excelente-IDGBAY.html#913474cdaa例如

这应该有效:

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