Web-Scraping：使用 Scrapy 移动到下一页以获取所有数据

Question

我需要从亚马逊上的产品中删除所有评论：

https://www.amazon.com/Cascade-ActionPacs-Dishwasher-Detergent-Packaging/dp/B01NGTV4J5/ref=pd_rhf_cr_s_trq_bnd_0_6/130-6831149-4603948?_encoding=UTF8&pd_rd_i=B01NGTV4J5&pd_rd_r=b6f87690-19d7-4dba-85c0-b8f54076705a&pd_rd_w= AgonG&pd_rd_wg=GG9yY&pf_rd_p=4e0a494a-50c5-45f5-846a-abfb3d21ab34&pf_rd_r=QAD0984X543RFMNNPNF2&psc=1&refRID=QAD0984X543RFMNNPNF2

我正在使用 Scrapy 来执行此操作。 然而，下面的代码似乎并没有抓取所有的评论，因为它们被分成了 n 个不同的页面。 人们应该首先点击所有评论，然后点击下一页。 我想知道如何使用 scrapy 或 python 中的其他工具来执行此操作。该产品有 5893 条评论，我无法手动获取此信息。

目前我的代码如下：

import scrapy
from scrapy.crawler import CrawlerProcess

class My_Spider(scrapy.Spider):
    name = 'spid'
    start_urls = ['https://www.amazon.com/Cascade-ActionPacs-Dishwasher-Detergent-Packaging/dp/B01NGTV4J5/ref=pd_rhf_cr_s_trq_bnd_0_6/130-6831149-4603948?_encoding=UTF8&pd_rd_i=B01NGTV4J5&pd_rd_r=b6f87690-19d7-4dba-85c0-b8f54076705a&pd_rd_w=AgonG&pd_rd_wg=GG9yY&pf_rd_p=4e0a494a-50c5-45f5-846a-abfb3d21ab34&pf_rd_r=QAD0984X543RFMNNPNF2&psc=1&refRID=QAD0984X543RFMNNPNF2']

    def parse(self, response):
        for row in response.css('div.review'):
            item = {}

            item['author'] = row.css('span.a-profile-name::text').extract_first()

            rating = row.css('i.review-rating > span::text').extract_first().strip().split(' ')[0]
            item['rating'] = int(float(rating.strip().replace(',', '.')))

            item['title'] = row.css('span.review-title > span::text').extract_first()
            yield item

并执行爬虫：

process = CrawlerProcess({
})

process.crawl(My_Spider)
process.start() 

你能告诉我是否可以转到下一页并删除所有评论吗？ 这应该是存储评论的页面。

Answer 1

使用 url https://www.amazon.com/Cascade-ActionPacs-Dishwasher-Detergent-Packaging/product-reviews/B01NGTV4J5/ref=cm_cr_arp_d_paging_btm_next_2?ie=UTF8&reviewerType=all_reviews&pageNumber=<PUT PAGE NUMBER HERE>这个：

import scrapy
from scrapy.crawler import CrawlerProcess

class My_Spider(scrapy.Spider):
    name = 'spid'
    start_urls = ['https://www.amazon.com/Cascade-ActionPacs-Dishwasher-Detergent-Packaging/product-reviews/B01NGTV4J5/ref=cm_cr_arp_d_paging_btm_next_2?ie=UTF8&reviewerType=all_reviews&pageNumber=1']

    def parse(self, response)
         for row in response.css('div.review'):
             item = {}
             item['author'] = row.css('span.a-profile-name::text').extract_first()
             rating = row.css('i.review-rating > span::text').extract_first().strip().split(' ')[0]
             item['rating'] = int(float(rating.strip().replace(',', '.')))
             item['title'] = row.css('span.review-title > span::text').extract_first()
             yield item
         next_page = response.css('ul.a-pagination > li.a-last > a::attr(href)').get()
         yield scrapy.Request(url=next_page))