# Scrapy crawler to parse data recursively

I've written a script in python scrapy to parse "name" and "price" of different products from a website. Firstly, it scrapes the links of different categories from the upper sided bar located in the main page then it tracks down each categories and reach their pages and then parse the links of different sub-categories from there and finally gets to the target page and parse the aforementioned data from there. I tried to do the whole thing slightly differently from the conventional method in which it is necessary to set rules. However, I got it working the way I expected using the logic I applied here. If any improvement is to be made, I'll be very glad to comply with. Here is what I've tried with:

"sth.py" aka spider contains:

import scrapy

class SephoraSpider(scrapy.Spider):

name = "sephorasp"

def start_requests(self):
yield scrapy.Request(url = "https://www.sephora.ae/en/stores/", callback = self.parse_pages)

def parse_pages(self, response):
yield scrapy.Request(url = link, callback = self.parse_inner_pages)

def parse_inner_pages(self, response):
yield scrapy.Request(url = links, callback = self.target_page)

def target_page(self, response):
for titles in response.xpath('//div[@class="product-info"]'):
product = titles.xpath('.//div[contains(@class,"product-name")]/a/text()').extract_first()
rate = titles.xpath('.//span[@class="price"]/text()').extract_first()
yield {'name':product,'price':rate}


"items.py" includes:

import scrapy
class SephoraItem(scrapy.Item):
name = scrapy.Field()
price = scrapy.Field()


The command I used to get the result along with a csv output is:

scrapy crawl sephorasp -o items.csv -t csv


The code is quite clean and easy to read, good job!

I would only focus on couple things:

• remove extra spaces around = when it is used to define a keyword argument
• CSS selectors are more appropriate and reliable when it comes to handling multi-valued class attribute than XPath expressions. Plus, they are more concise and generally faster
• naming - for links in should actually be for link in
• as for the target_page method, I don't think you need a loop - if I understand correctly, there should be a single "product" parsed at this point
• you may use start_urls instead of start_requests()

All things taken into account:

import scrapy

class SephoraSpider(scrapy.Spider):
name = "sephorasp"
start_urls = ["https://www.sephora.ae/en/stores/"]

def parse(self, response):

def parse_inner_pages(self, response):
for link in response.css('li.amshopby-cat > a::attr(href)').extract():