使用来自同一URL的多个POST数据进行刮取

时间:2013-07-16 16:49:13

标签: python loops web-scraping screen-scraping scrapy

我已经创建了一个蜘蛛,它收集了具有匹配电话号码的公司名称列表。然后将其保存为CSV文件。

然后我想使用CSV文件中的电话号码作为POST数据从其他站点获取数据。我希望它循环遍历相同的起始URL,但只是抓取每个电话号码产生的数据,直到CSV文件中没有剩余数字。

这是我到目前为止所得到的:

from scrapy.spider import BaseSpider
from scrapy.http import Request
from scrapy.http import FormRequest
from scrapy.selector import HtmlXPathSelector
from scrapy import log
import sys
from scrapy.shell import inspect_response
from btw.items import BtwItem
import csv

class BtwSpider(BaseSpider):
    name = "btw"
    allowed_domains = ["siteToScrape.com"]
    start_urls = ["http://www.siteToScrape.com/broadband/broadband_checker"] 

    def parse(self, response):
        phoneNumbers = ['01253873647','01253776535','01142726749']

        return [FormRequest.from_response(response,formdata={'broadband_checker[phone]': phoneNumbers[1]},callback=self.after_post)]


    def after_post(self, response):
       hxs = HtmlXPathSelector(response)
       sites = hxs.select('//div[@id="results"]')
       items = []
       for site in sites:
           item = BtwItem()

           fttcText = site.select("div[@class='content']/div[@id='btfttc']/ul/li/text()").extract()

           # Now we will change the text to be a boolean value
           if fttcText[0].count('not') > 0:
               fttcEnabled=0
           else:
               fttcEnabled=1

           item['fttcAvailable'] = fttcEnabled
           items.append(item)
       return items

在我刚刚尝试通过列表(phoneNumbers)循环的那一刻,但到目前为止我还没有设法让它工作。一旦我知道如何做到这一点,我将能够让它自己从CSV文件中提取它。在当前状态下,它只是使用列表中索引为1的phoneNumber。

1 个答案:

答案 0 :(得分:2)

假设您有一个带有电话的phones.csv文件:

01253873647
01253776535
01142726749

这是你的蜘蛛:

import csv
from scrapy.item import Item, Field

from scrapy.spider import BaseSpider
from scrapy.http import Request
from scrapy.http import FormRequest
from scrapy.selector import HtmlXPathSelector


class BtwItem(Item):
    fttcAvailable = Field()
    phoneNumber = Field()


class BtwSpider(BaseSpider):
    name = "btw"
    allowed_domains = ["samknows.com"]

    def start_requests(self):
        yield Request("http://www.samknows.com/broadband/broadband_checker", self.parse_main_page)

    def parse_main_page(self, response):
        with open('phones.csv', 'r') as f:
            reader = csv.reader(f)
            for row in reader:
                phone_number = row[0]
                yield FormRequest.from_response(response,
                                                formdata={'broadband_checker[phone]': phone_number},
                                                callback=self.after_post,
                                                meta={'phone_number': phone_number})

    def after_post(self, response):
        hxs = HtmlXPathSelector(response)
        sites = hxs.select('//div[@id="results"]')

        phone_number = response.meta['phone_number']
        for site in sites:
            item = BtwItem()

            fttc = site.select("div[@class='content']/div[@id='btfttc']/ul/li/text()").extract()
            item['phoneNumber'] = phone_number
            item['fttcAvailable'] = 'not' in fttc[0]

            yield item

以下是运行后刮掉的内容:

{'fttcAvailable': False, 'phoneNumber': '01253873647'}
{'fttcAvailable': False, 'phoneNumber': '01253776535'}
{'fttcAvailable': True, 'phoneNumber': '01142726749'}

想法是使用start_requests抓取主页,然后在回调中逐行读取csv文件,为每个电话号码读取yieldRequests(csv行) )。另外,通过phone_number字典将meta传递给回调,以便将其写入Item字段(我认为您需要这样来区分项目/结果)。

希望有所帮助。