Write a spider in Scrapy that parses all Romance books and extracts title, price and rating from them; it should output JSON with 35 elements

spider_books.py

import scrapy


class QuotesSpider(scrapy.Spider):
    name = "books"
    start_urls = [
        'http://books.toscrape.com/catalogue/category/books/romance_8/index.html',
    ]

    def parse(self, response):
        for quote in response.css('ol.row'):
            yield {
                'title': quote.css('a[href]::attr(title)').extract(),
                'price': quote.css('p.price_color::text').extract(),
                'rating': quote.css('p[class*=star-rating]::attr(class)').extract(),
            }

        next_page = response.css('li.next a::attr(href)').extract_first()
        if next_page is not None:
            next_page = response.urljoin(next_page)
            yield scrapy.Request(next_page, callback=self.parse)