@Authorscrapy爬取客户端:BY Runsen
前言在前几天scrapy爬取客户端,接到一个大学生的作业的爬虫单子scrapy爬取客户端,要求采用scrapy爬取链家官方网站新房的数据(3-5页即可scrapy爬取客户端,太多可能被封禁ip),网址:https://bj.fang.lianjia.com/loupan/,将楼盘名称、价格、平米数等(可以拓展)数据保存到一个json文件中。
为了50块钱,废话不说就是开干。虽说我不是计算机的,还是一个屌丝大三化工学生。
分析网页那么今天教大家用Scarpy爬取链家网,爬取网页如下:http://bj.fang.lianjia.com/loupan/。
点击其中的一个来看看,https://bj.fang.lianjia.com/loupan/p_zjtfbkrhf/?fb_expo_id=303816048586158080
新建项目新建项目和爬虫文件这些太简单,都是老套路, pass了。新建的项目如下。
加请求头第一步,傻逼都知道加请求头。
在setting.py加MY_USER_AGENT
MY_USER_AGENT = [ "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)", "Mozilla/4.0 (compatible; MSIE 7.0; AOL 9.5; AOLBuild 4337.35; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)", "Mozilla/5.0 (Windows; U; MSIE 9.0; Windows NT 9.0; en-US)", "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0)", "Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 1.0.3705; .NET CLR 1.1.4322)", "Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.2; .NET CLR 1.1.4322; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.0.04506.30)", "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN) AppleWebKit/523.15 (KHTML, like Gecko, Safari/419.3) Arora/0.3 (Change: 287 c9dfb30)", "Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6", "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1", "Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9) Gecko/20080705 Firefox/3.0 Kapiko/3.0", "Mozilla/5.0 (X11; Linux i686; U;) Gecko/20070322 Kazehakase/0.4.5", "Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_3) AppleWebKit/535.20 (KHTML, like Gecko) Chrome/19.0.1036.7 Safari/535.20", "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.11 TaoBrowser/2.0 Safari/536.11", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER", "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; LBBROWSER)", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E; LBBROWSER)", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.84 Safari/535.11 LBBROWSER", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)", "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SV1; QQDownload 732; .NET4.0C; .NET4.0E; 360SE)", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)", "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E)", "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.89 Safari/537.1", "Mozilla/5.0 (iPad; U; CPU OS 4_2_1 like Mac OS X; zh-cn) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8C148 Safari/6533.18.5", "Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b13pre) Gecko/20110307 Firefox/4.0b13pre", "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:16.0) Gecko/20100101 Firefox/16.0", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11", "Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36",]然后去Middleware.py去搞一个RandomUserAgentMiddleware,这代码找之前的scrapy爬虫项目直接复制,简单。
import randomclass RandomUserAgentMiddleware(object): def __init__(self, user_agents): self.user_agents = user_agents @classmethod def from_crawler(cls, crawler): # 从settings.py中导入MY_USER_AGENT s = cls(user_agents=crawler.settings.get('MY_USER_AGENT')) return s def process_request(self, request, spider): agent = random.choice(self.user_agents) request.headers['User-Agent'] = agent return None去setting.py开启上它。900记得, 老套路。
DOWNLOADER_MIDDLEWARES = { # 'lianjia.middlewares.LianjiaDownloaderMiddleware': 543, 'lianjia.middlewares.RandomUserAgentMiddleware': 900,}OK,请求头headers搞定,代码都是复制的,3分钟OK。
搞定itemitem就是把爬取的信息储存起来,爬取楼盘名称、类型,位置,价格、平米数,代码编写需要两分钟。
import scrapy'''目标:爬取链家官方网站新房的数据(3-5页即可,太多可能被封禁ip)网址:https://bj.fang.lianjia.com/loupan/要求:将楼盘名称、价格、平米数等(可以拓展)数据保存到一个json文件中。交付:整个project的压缩包'''class LianjiaItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() """楼盘名称、类型,位置,价格、平米数""" name = scrapy.Field() type = scrapy.Field() location = scrapy.Field() price = scrapy.Field() number = scrapy.Field()首页调试我们需要把详情页的url和建面面积匹配出来,scrapy shell https://bj.fang.lianjia.com/loupan进入shell调试。
在url的a标签发现了class = “resblock-name”的div,下面就是小儿科的东西。
没有域名,直接follow快捷方式完事,可以自动拼接url。
建面面积一样,轻松解决。
在span标签发现了class = “resblock-area”的div,重复下面的操作。
详情页调试下面就是详情页了,scrapy shell https://bj.fang.lianjia.com/loupan/p_zjtfbkrhf/?fb_expo_id=303816048586158080
下面把楼盘名称搞出来,慢慢调试。
楼盘类型,位置,价格这些,我不一一找了。就是耐心的通过scrapy shell 调试。这里花费了有半个小时。
最后,自己看代码。
import scrapyfrom ..items import LianjiaItemclass SpiderSpider(scrapy.Spider): name = 'spider' allowed_domains = ['bj.fang.lianjia.com'] start_urls = ['http://bj.fang.lianjia.com/loupan/'] def parse(self, response): for i in range(1,22): page_url = 'https://bj.fang.lianjia.com/loupan/pg{}'.format(i) yield response.follow(page_url,callback =self.parse_page) def parse_page(self,response): urls = response.xpath("//div[@class='resblock-name']/a/@href").extract() nums = response.xpath("//div[@class='resblock-area']/span/text()").extract() print(urls) print(nums) for num,url in zip(nums,urls): # 用的follow快捷方式,可以自动拼接url yield response.follow(url=url, meta={'num':num},callback=self.parse_detail) def parse_detail(self,response): item = LianjiaItem() item['name'] = response.xpath("//div[@class='title-wrap']//h2/text()").extract_first() self.logger.info('正在爬取{}……'.format(item['name'])) item['type'] = response.xpath("//div[@class='tags-wrap']/span[@class='tag-item house-type-tag']/text()").extract_first() item['location'] = response.xpath("//ul[@class='info-list']//span[@class='content']/text()").extract_first() item['price'] = response.xpath("//div[@class='price']/span[@class='price-number']/text()").extract_first() item['number'] = response.meta['num'] yield item保存json要求保存json,直接 -o 省事,连Pipeline都不用写。
在setting中开启Pipeline。
ITEM_PIPELINES = { 'lianjia.pipelines.LianjiaPipeline': 300,}运行,开一个main.py,scrapy crawl spider -o spider.json
'''@Author: Runsen@微信公众号: 润森笔记@博客: https://blog.csdn.net/weixin_44510615@Date: 2020/4/13'''import sysimport osfrom scrapy.cmdline import executesys.path.append(os.path.dirname(os.path.abspath(__file__)))execute(['scrapy','crawl','spider','-o spider.json'])运行时发现没有中文,看了下我scrapy博客https://maoli.blog.csdn.net/article/details/89012106,加上setting配置FEED_EXPORT_ENCODING = 'utf-8'完成。
FEED_EXPORT_ENCODING = 'utf-8'运行,ok
一个小时多点,50块到手。最后,我对不起顾客了,把代码公开了,给老师发现那惨了。
标签: scrapy爬取客户端