我试图在黄页中为每个业务刮掉href。我是第二天使用scrapy的新手。我正在使用请求来获取用蜘蛛搜索的实际网址。我的代码怎么办?我想最终对每个企业进行scrapy并刮掉其地址和其他信息。
# -*- coding: utf-8 -*-
import scrapy
import requests
search = "Plumbers"
location = "Hammond, LA"
url = "https://www.yellowpages.com/search"
q = {'search_terms': search, 'geo_location_terms': location}
page = requests.get(url, params=q)
page = page.url
class YellowpagesSpider(scrapy.Spider):
name = 'quotes'
allowed_domains = ['yellowpages.com']
start_urls = [page]
def parse(self, response):
self.log("I just visited: " + response.url)
items = response.css('span.text::text')
for items in items:
print(items)
要使用名称:
response.css('a[class=business-name]::text')
要获得href使用:
response.css('a[class=business-name]::attr(href)')
在最后的调用中,这看起来像:
for bas in response.css('a[class=business-name]'):
item = { 'name' : bas.css('a[class=business-name]::text').extract_first(),
'url' : bas.css('a[class=business-name]::attr(href)').extract_first() }
yield item
结果:
2018-09-13 04:12:49 [quotes] DEBUG: I just visited: https://www.yellowpages.com/search?search_terms=Plumbers&geo_location_terms=Hammond%2C+LA
2018-09-13 04:12:49 [scrapy.core.scraper] DEBUG: Scraped from <200 https://www.yellowpages.com/search?search_terms=Plumbers&geo_location_terms=Hammond%2C+LA>
{'name': 'Roto-Rooter Plumbing & Water Cleanup', 'url': '/new-orleans-la/mip/roto-rooter-plumbing-water-cleanup-21804163?lid=149760174'}
2018-09-13 04:12:49 [scrapy.core.scraper] DEBUG: Scraped from <200 https://www.yellowpages.com/search?search_terms=Plumbers&geo_location_terms=Hammond%2C+LA>
{'name': "AJ's Plumbing And Heating Inc", 'url': '/new-orleans-la/mip/ajs-plumbing-and-heating-inc-16078566?lid=1001789407686'}
...