Question

我编写了一个简单的网络抓取工具，可以从csv文件中的地址和邮政编码中提取街道名称和该街道的序列号。我想将街道名称，序列号和邮政编码保存在新的csv文件中，但我不知道如何将邮政编码传递给我的parse()方法，因为我打电话来自cmd的蜘蛛：

scrapy crawl Geospider -o Scraped_data.csv -t csv

这是我的蜘蛛（代码实际上不起作用，因为我正在抓取的页面需要登录名和密码，我不会提供我的，但任何人都可以在http://download.kortforsyningen.dk//content/opret-mig-som-bruger上注册为用户，这不是我问题的一部分）：

from scrapy.spider import BaseSpider
from scrapy.selector import XmlXPathSelector
from scrapy.item import Item, Field
import csv

class Road(Item):
    RoadNum = Field()
    RoadName = Field()
    PostNum = Field()

class Geospider(BaseSpider):
    name = 'Geospider'
    allowed_domains = ["http://kortforsyningen.kms.dk/"]

    def unicode_csv_reader(utf8_data, dialect=csv.excel, **kwargs):
        csv_reader = csv.reader(utf8_data, dialect=dialect, **kwargs)
        for row in csv_reader:
            yield [unicode(cell, 'utf-8') for cell in row]

    filename = 'AddressesAndZipcodes.csv'
    reader = unicode_csv_reader(open(filename))
    start_urls = []
    ZipCode = []
    for row in reader:
        Address = row[0]
        Zip = row[1]
        start_urls.append('http://kortforsyningen.kms.dk/service?ServiceName=geoV&soegemetode=0&vejnavn=%s&kommunepost=%s&format=XML&max_hits=10&login=xxx&password=xxx' % (Address, ZipCode))
        ZipCode.append(Zip)

    def parse(self, response):
        xxs = XmlXPathSelector(response)
        sites = xxs.select('//dokument/forekomst')
        items = Road()
        items['RoadNum'] = sites.select("vejkode/text()").extract()
        items['RoadName'] = sites.select("vejnavn/text()").extract()
        items['PostNum'] = ZipCode
        yield items, ZipCode

有关如何将ZipCode传递给Parse()的任何想法，以便将zipcodes与其他结果一起保存？

谢谢

Answer 1

覆盖start_requests，在那里阅读csv文件并在zip中传递request.meta对您有用：

from scrapy.http import Request
from scrapy.spider import BaseSpider
from scrapy.selector import XmlXPathSelector
from scrapy.item import Item, Field
import csv


class Road(Item):
    RoadNum = Field()
    RoadName = Field()
    PostNum = Field()


def unicode_csv_reader(utf8_data, dialect=csv.excel, **kwargs):
    csv_reader = csv.reader(utf8_data, dialect=dialect, **kwargs)
    for row in csv_reader:
        yield [unicode(cell, 'utf-8') for cell in row]


class Geospider(BaseSpider):
    name = 'Geospider'
    allowed_domains = ["http://kortforsyningen.kms.dk/"]
    start_urls = []

    def start_requests(self):
        reader = unicode_csv_reader(open('AddressesAndZipcodes.csv'))
        for row in reader:
            address, zip_code = row[:2]
            url = 'http://kortforsyningen.kms.dk/service?ServiceName=geoV&soegemetode=0&vejnavn=%s&kommunepost=%s&format=XML&max_hits=10&login=xxx&password=xxx' % (address, zip_code)

            yield Request(url=url, meta={'zip_code': zip_code})

    def parse(self, response):
        xxs = XmlXPathSelector(response)
        sites = xxs.select('//dokument/forekomst')

        item = Road()
        item['RoadNum'] = sites.select("vejkode/text()").extract()
        item['RoadName'] = sites.select("vejnavn/text()").extract()
        item['PostNum'] = response.meta['zip_code']

        yield item

希望有所帮助。

制作网络刮刀可以提供更多信息

1 个答案: