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我做了一个scrapy spider，它可以为水管工抓取黄页。地址被分成两部分。所以在我得到这些部分之后，我把它们放在管道文件中。bspider是我的一个spider示例的输出。

'locality_': 'Manassas, VA 20109',
 'logo': None,
 'name': 'F H Furr Plumbing-Heating & Air Conditioning',
 'number_of_riews': None,
 'payment_mentod': 'check',
 'phone_number': '(571) 234-6893',
 'stars_out_of_five': None,
 'street_adress': '9040 Mike Garcia Dr',
 'website': 'http://www.fhfurr.com'}

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但是我的问题是我得到了错误full_address += f'{locailty_} {street_adress}' TypeError: unsupported operand type(s) for +=: 'NoneType' and 'str'。为什么它会这样做，因为街道地址和地点都有值。
spider.py

import scrapy
from yp_scraper.items import PlubmerInfo

class PlumberScraperSpider(scrapy.Spider):
    name = 'plumber_scraper'
    allowed_domains = ['yellowpages.com']
    start_urls = ['https://www.yellowpages.com/']

    def parse(self, response):
        #bellow are the area name and state these values will be plued into the start url to find the area in wich we are serchign for plumbers
        area = "fairfax"
        state = "va"#must be an abreation
        #the value bellow is the amount of pages you want to scrape
        numer_of_pages = 10 
        page_numebr = 1

        #while numer_of_pages > 0:
        url = f'https://www.yellowpages.com/{area}-{state}/plumbers?page={page_numebr}'
            #page_numebr += 1
            #numer_of_pages -= 1
        print('tesssssssssssssssst')
        yield response.follow(url, callback=self.parse_plumbers)

    def parse_plumbers(self, response):
        print('text2')
        plumber_item = PlubmerInfo()
        print('yes_man')
        plumbers = response.css('div.result')

        for plumber in plumbers:
            starter_indidual_url = plumber.css('a.business-name ::attr(href)').get()
            indidual_url = f'https://www.yellowpages.com{starter_indidual_url}'
            yield response.follow(indidual_url, callback=self.parse_indvidual_plumbers)

    def parse_indvidual_plumbers(self, response):
        plumber_item = PlubmerInfo()
        print(response.xpath('//*[@id="default-ctas"]/a[3]/span/text()').get())
        plumber_item['name'] = response.css('h1.business-name ::text').get()
        plumber_item['phone_number'] = response.css('a.phone ::text').get() 
        plumber_item['website'] = response.css('a.website-link ::attr(href)').get()
        plumber_item['genral_info'] = response.css('dd.general-info ::text').get()
        plumber_item['payment_mentod'] = response.css('dd.payment ::text').get()
        plumber_item['stars_out_of_five'] = response.css('div.rating-stars ::attr(class)').get()
        plumber_item['number_of_riews'] = response.css('span.count ::text').get()
        plumber_item['locality_'] = response.xpath('//*[@id="default-ctas"]/a[3]/span/text()').get()
        plumber_item['street_adress'] = response.css('span.address ::text').get()
        #plumber_item['services'] = response.css('div.locality ::text').get()
        plumber_item['email'] = response.css('a.email-business ::attr(href)').get()
        plumber_item['logo'] = response.css('dd.logo ::attr(href)').get()

        yield plumber_item

型
pipelines.py

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html

# useful for handling different item types with a single interface
from itemadapter import ItemAdapter

class YpScraperPipeline:
    def process_item(self, item, spider):
        adapter = ItemAdapter(item)

        #combindes locality and street adress
        locailty_ = adapter.get('locality_')
        street_adress = adapter.get('street_adress')
        full_address = adapter.get('full_address')
        if locailty_ is not None:
            for i in street_adress:
                full_address += f'{locailty_} {street_adress}'

        return item

型