Question

我正在使用scrapy抓取页面，我能够获得所有可见文本的简单内容。但是，有些文本对爬虫不可见，最终显示为空格。

例如，查看页面源可以让我看到这些字段：

https://www.dropbox.com/s/f056mffmuah6uu4/Screenshot%202015-07-23%2018.23.32.png?dl=0

我已多次尝试通过xpath和css访问此字段，并且无法在每次尝试后获取这些字段。

当我尝试类似的事情时：

response.xpath('//text()').extract()

我根本无法在文本转储中看到这些字段。

有没有人知道为什么这些字段对scrapy不可见？该网站是：https://www.buzzbuzzhome.com/uc/units/houses/sapphire

Answer 1

在您的蜘蛛中，您需要向https://www.buzzbuzzhome.com/bbhAjax/Development/UnitPriceHistory端点发出额外的XHR POST请求，以获取提供必要标头和POST参数的价格历史记录：

import json
import scrapy


class BuzzSpider(scrapy.Spider):
    name = 'buzzbuzzhome'
    allowed_domains = ['buzzbuzzhome.com']
    start_urls = ['https://www.buzzbuzzhome.com/uc/units/houses/sapphire']

    def parse(self, response):
        unit_id = response.xpath("//div[@id = 'unitDetails']/@data-unit-id").extract()[0]
        development_url = "uc"
        new_relic_id = response.xpath("//script[contains(., 'xpid')]").re(r'xpid:"(.*?)"')

        params = {"developmentUrl": development_url, "unitID": unit_id}
        yield scrapy.Request("https://www.buzzbuzzhome.com/bbhAjax/Development/UnitPriceHistory",
                             method="POST",
                             body=json.dumps(params),
                             callback=self.parse_history,
                             headers={
                                 "Accept": "*/*",
                                 "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.2357.134 Safari/537.36",
                                 "X-Requested-With": "XMLHttpRequest",
                                 "X-NewRelic-ID": new_relic_id,
                                 "Origin": "https://www.buzzbuzzhome.com",
                                 "Host": "www.buzzbuzzhome.com",
                                 'Content-Type': 'application/json; charset=UTF-8'
                             })

    def parse_history(self, response):
        for row in response.css("div.row"):
            title = row.xpath(".//div[@class='content-title']/text()").extract()[0].strip()
            text = row.xpath(".//div[@class='content-text']/text()").extract()[0].strip()

            print title, text

打印：

05/25/2015 Unit listed as Sold
12/18/2014 Unit listed as For Sale
11/24/2014 Unit price increased  by 1.54% to $461,990
11/04/2014 Unit price increased  by 6.81% to $454,990
10/02/2014 Unit price increased  by 4.67% to $425,990
01/22/2014 Unit price increased  by 2.52% to $406,990
12/06/2013 Unit listed as For Sale at $396,990

scrapy无法从网站中提取一些数据

1 个答案: