爬取链家租房页面第一页的房源信息,获取内容包括:标题、价格、URL
items.py
import scrapy
class ScrapytestItem(scrapy.Item):
# define the fields for your item here like:
title = scrapy.Field()
price = scrapy.Field()
url = scrapy.Field()
pipelines.py
import json
class ScrapytestPipeline(object):
#打开文件
def open_spider(self,spider):
self.file = open('58_chuzu.txt','w',encoding='utf-8')
print('文件被打开了')
#写入文件
def process_item(self, item, spider):
line = '{}\n'.format(json.dumps(dict(item),ensure_ascii=False))
self.file.write(line)
return item
#关闭文件
def close_spider(self,spider):
self.file.close()
print('文件被关闭了')
spider
import scrapy
from ..items import ScrapytestItem
class SpiderCity58Spider(scrapy.Spider):
name = 'spider_city_58'#必不可少的爬虫名字
allowed_domains = ['lianjia.com']
start_urls = ['https://bj.lianjia.com/zufang/']
def parse(self, response):
info_list = response.xpath('//*[@id="content"]/div[1]/div[1]/div')
for i in info_list:
item = ScrapytestItem()
item['title'] = i.xpath('normalize-space(./div/p[1]/a/text())').extract()
item['price'] = i.xpath('./div/span/em/text()').extract()
url = i.xpath('./div/p[1]/a/@href').extract_first()
item['url'] = response.urljoin(url)
yield item
编写中遇到的几个问题:
本来打算爬58的,但是58的反爬策略我还无法破解,所以换成了链家;
链家的URL是相对地址,所以使用urljoin进行拼接,补充为绝对地址;
用normalize-space来消除开头的空格