CODEWITHSUNDEEP
pythonscrapy
Timpo
Timpo

Reputation: 17

How to strip Scrapy results before outputted to CSV

I am trying to isolate the integer from some HTML, e.g. "
5,500 miles
".

import scrapy

class AlfaShortSpider(scrapy.Spider):
    name = 'alfashort'

    def start_requests(self):
        yield scrapy.Request(url = 'https://www.pistonheads.com/classifieds/used-cars/alfa-romeo/giulia',
                             callback = self.parse_data)


    def parse_data( self, response ):
        advert = response.xpath( '//*[@class="ad-listing"]')
        title = advert.xpath( './/*[@class="listing-headline"]//h3/text()' ).extract()
        price = advert.xpath( './/*[@class="price"]/text()' ).extract()
        mileage = advert.xpath( './/*[@class="specs"]//li[1]/text()' ).extract()
        mileage = [item.strip() for item in mileage]
        mileage = [item.replace(',','') for item in mileage]
        mileage = [item.replace(' miles','') for item in mileage]

        for item in zip(title,price,mileage):
            price_data = {
                    'title' : item[0],
                    'price' : item[1],
                    'mileage' : item[2]
            }

            yield price_data

My code successfully removes the comma and "miles" but in my CSV output I get unwanted blank rows in this column which I presume are due to the carriage returns in the original source. My CSV looks like this:

my CSV

So the title and price columns are fine. But the Mileage column is where the error is.

is there something wrong with my Strip command?

Upvotes: 0

Views: 54

Answers (1)

shubham amane
shubham amane

Reputation: 71

Just change the XPath for mileage

from

mileage = advert.xpath( './/*[@class="specs"]//li[1]/text()' ).extract()

to 

mileage = advert.xpath( './/*[@class="specs"]//li[1]/text()[2]' ).extract()

You will get output correct output:

title,price,mileage
ALFA ROMEO GIULIA (0) V6 BITURBO QUADRIFOGLIO                  2018 (2018),"£48,500",5500
ULEZ CHARGE EXEMPT! EURO 6  (2017),"£25,695",11450
ALFA ROMEO GIULIA (0) V6 BITURBO QUADRIFOGLIO NRING            2019 (2019),"£83,500",100
ALFA ROMEO GIULIA (0) TD SPECIALE                              2017 (2017),"£22,500",23700

Upvotes: 1

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