python爬虫——爬取链家房价信息(未完待续)

好久不见. 提交于 2019-12-08 22:36:22


爬取链家房价信息(未完待续)

items.py

# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html

import scrapy


class LianjiaItem(scrapy.Item):

	info1 = scrapy.Field()#小区名字
	info1_url = scrapy.Field()#小区主页地址
	info2 = scrapy.Field()#小区地址
	info2_dizhi = scrapy.Field()#小区地址
	info3 = scrapy.Field()#小区地址
	info4 = scrapy.Field()#小区地址




settings.py

这里仅仅需要注意一个点:

# Obey robots.txt rules
ROBOTSTXT_OBEY = False

这里需要设置为 false 因为有的网站禁止爬虫


# -*- coding: utf-8 -*-

# Scrapy settings for lianjia project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
#     http://doc.scrapy.org/en/latest/topics/settings.html
#     http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#     http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html

BOT_NAME = 'lianjia'

SPIDER_MODULES = ['lianjia.spiders']
NEWSPIDER_MODULE = 'lianjia.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'lianjia (+http://www.yourdomain.com)'

# Obey robots.txt rules
ROBOTSTXT_OBEY = False

# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32

# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16

# Disable cookies (enabled by default)
#COOKIES_ENABLED = False

# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False

# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
#   'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
#   'Accept-Language': 'en',
#}

# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'lianjia.middlewares.MyCustomSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
#    'lianjia.middlewares.MyCustomDownloaderMiddleware': 543,
#}

# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
#    'scrapy.extensions.telnet.TelnetConsole': None,
#}

# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
#    'lianjia.pipelines.SomePipeline': 300,
#}

# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False

# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'




scrapy.py

#coding:utf-8
import scrapy,time
import re
from scrapy.http import Request
from lianjia.items import LianjiaItem

class Myspider(scrapy.Spider):
	name='lianjia'
	allow_domains=['lianjia.com']
	base_url='http://bj.lianjia.com/ershoufang/tongzhou/pg'
	
	def start_requests(self):
		for i in range(1,2):
			url=self.base_url+str(i)
			yield Request(url,self.parse)
	
	def parse(self,response):
		print response.url 
		items=LianjiaItem()
		#print response.page_source
		for info in response.xpath('//div[4]/div[1]/ul/li'):
			info1= info.xpath('div/div[1]/a/text()').extract_first()
			info1_url= info.xpath('div/div[1]/a/@href').extract_first()
			info2= info.xpath('div/div[2]/div/text()').extract_first()
			info2_dizhi= info.xpath('div/div[3]/div/text()').extract_first()
			info3= info.xpath('div/div[3]/div/a/text()').extract_first()
			info4=info.xpath('div/div[4]/text()').extract_first()
			items['info1']=info1
			items['info1_url']=info1_url
			items['info2']=info2
			items['info2_dizhi']=info2_dizhi
			items['info3']=info3
			items['info4']=info4
			yield Request(info1_url,callback=self.parse_mainurl,meta={'items':items})
	def parse_mainurl(self,response):
		items=response.meta['items']
		print response.url
		print items['info1'],items['info1_url']
		print items['info2']
		print items['info2_dizhi'],	items['info3']
		print items['info4']
			
		print response.xpath('//div[3]/div/div/a/text()').extract_first()


	


易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!