Question

我刚刚开始学习Python和Scrapy。我的第一个项目是在包含Web安全信息的网站上爬网信息。但是，当我使用cmd运行该命令时，它说：“抓取0页（以0页/分钟），抓取0项（以0项目/分钟）”，似乎什么都没出现。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

要使其正常运行，有两件事需要纠正：

您需要使用要存储结果的路径定义FEED_URI设置
您需要在response中使用parse_subpage，因为逻辑如下: scrapy downloads "https://www.imovirtual.com/arrendar/apartamento/lisboa/" and gives the response to解析, you extract ads url and you ask scrapy to download each pages and give the downloaded pages to parse_subpage . So响应in parse_subpage`与此https://www.imovirtual.com/anuncio/t0-totalmente-remodelado-localizacao-excelente-IDGBAY.html#913474cdaa对应，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

INFO：抓取0页（以0页/分钟），抓取0件（以0件/分钟）

1 个答案: