在将抓取的抓取数据导出到文件/数据库之前，如何将其抓取/分解为类似表格的表格？

如何解决在将抓取的抓取数据导出到文件/数据库之前，如何将其抓取/分解为类似表格的表格？

我目前正在使用scrapy刮擦亚马逊页面。我希望scrapy返回易于转换为表的输出（例如，数据框，MySQL等）。例如，这是我的蜘蛛在一个JSON文件（7列2行/页）中输出的内容：

当我将其转换为数据框时，它看起来像这样（我仍然必须清理它）：

我的问题本质上是如何折叠初始输出，使其看起来像一张表/轻松地转换成一个表。如果可以通过某种方式将其添加到下面的parse函数中，那就太棒了。我最初尝试使用for循环来获取例如每个列表的第一个值。有任何想法吗？感谢您抽出宝贵的时间阅读本文！

import scrapy
from ..items import AmazonscrapeItem

class AmazonSpiderSpider(scrapy.Spider):
    page_number = 2
    name = 'amazon_scraper'
    start_urls = [
        'https://www.amazon.co.uk/s?i=stripbooks&bbn=266239&rh=n%3A266239%2Cp_72%3A184315031%2Cp_36%3A389028011&dc&page=1&fst=as%3Aoff&qid=1598942460&rnid=389022011&ref=sr_pg_1'
    ]

    def parse(self,response,**kwargs):
        items = AmazonscrapeItem()

        # if multiple classes --> .css("::text").extract()
        product_name = response.css('.a-color-base.a-text-normal::text').extract()
        product_author = response.css('.a-color-secondary .a-size-base.a-link-normal').css('::text').extract()
        product_nbr_reviews = response.css('.a-size-small .a-link-normal .a-size-base').css('::text').extract()
        product_type = response.css('.a-spacing-top-small .a-link-normal.a-text-bold').css('::text').extract()
        product_price = response.css('.a-spacing-top-small .a-price-whole').css('::text').extract()
        product_more_choice = response.css('.a-spacing-top-mini .a-color-secondary .a-link-normal').css('::text').extract()
        # this only selects the element that has the image --> need stuff inside src (source attr)
        product_imagelink = response.css('.s-image::attr(src)').extract() # want attr of src

        items['product_name'] = product_name
        items['product_author'] = product_author
        items['product_nbr_reviews'] = product_nbr_reviews
        items['product_type'] = product_type
        items['product_price'] = product_price
        items['product_more_choice'] = product_more_choice
        items['product_imagelink'] = product_imagelink


        # CAN IT BE UNPACKED HERE SOMEHOW??


        yield items

        next_page = 'https://www.amazon.co.uk/s?i=stripbooks&bbn=266239&rh=n%3A266239%2Cp_72%3A184315031%2Cp_36%3A389028011&dc&page='+ str(AmazonSpiderSpider.page_number)+'&fst=as%3Aoff&qid=1598942460&rnid=389022011&ref=sr_pg_'+ str(AmazonSpiderSpider.page_number)
        if AmazonSpiderSpider.page_number <3:
            AmazonSpiderSpider.page_number += 1
            yield response.follow(next_page,callback=self.parse)