python3 [爬虫入门实战]爬虫之scrapy爬取织梦者网站并存mongoDB
2017-07-16 22:49
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主要爬取了编程栏目里的其他编程里的36638条数据
过程是自己一步一步的往下写的,有不懂的也是一边找笔记,一边百度,一边调试。遗憾:没有进行多栏目数据的爬取,只爬了一个栏目的数据,希望有想法的有钻研精神的可以自己去尝试爬取一下,难度应该不会很大。
给一张效果图:
爬取字段:标题,标题链接,标题描述,发布时间,发布类型,发布tag
爬取方式:主要是获取div【pull-left ltxt w658】下的内容,这个div还是有点复杂的?对于我而言吧。调试了多次,
需要爬取的内容都在上面图片标记着了,
先上items里面的代码:
# -*- 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 MakedreamItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() # 文章标题 articleTitle = scrapy.Field() # 文章标题url articleUrl = scrapy.Field() # 文章描述 articleDesc = scrapy.Field() # 文章发布时间 articlePublic = scrapy.Field() # 文章类型 articleType = scrapy.Field() # 文章标签 articleTag = scrapy.Field() # pass
没毛病,我们继续接着上spider里面的代码,瞧仔细了。
# encoding=utf8 import scrapy from makedream.items import MakedreamItem class DramingNet(scrapy.Spider): # 启动爬虫的名称 name = 'draming' # 爬虫的域范围 allowed_domains = ['zhimengzhe.com'] # 爬虫的第一个url start_urls = ['http://www.zhimengzhe.com/bianchengjiaocheng/qitabiancheng/index_{}.html'.format(n) for n in range(0, 1466)] # 爬取结果解析 def parse(self, response): base_url = 'http://www.zhimengzhe.com' # print(response.body) node_list = response.xpath("//ul[@class='list-unstyled list-article']/li") for node in node_list: item = MakedreamItem() nextNode = node.xpath("./div[@class='pull-left ltxt w658']") print('*' * 30) title = nextNode.xpath('./h3/a/text()').extract() link = nextNode.xpath('./h3/a/@href').extract() desc = nextNode.xpath('./p/text()').extract() # 创建时间,类型,标签 publicTime = nextNode.xpath("./div[@class='tagtime']/span[1]/text()").extract() publicType = nextNode.xpath("./div[@class='tagtime']/span[2]/a/text()").extract() publicTag = nextNode.xpath("./div[@class='tagtime']/span[3]/a/text()").extract() # node titleLink = base_url + ''.join(link) item['articleTitle'] = title # 文章标题url item['articleUrl'] = titleLink # 文章描述 item['articleDesc'] = desc # 文章发布时间 item['articlePublic'] = publicTime # 文章类型 item['articleType'] = publicType # 文章标签 item['articleTag'] = publicTag yield item
虽然我这次能成功爬取出来字段,不代表以后也一直可以通用,大家要学会灵活一下, 难道不是嘛。/kb
下载文件里面的我分别写了份存入mongodb 和 存入json文件里面的, mongodb的配置不是很难哦。
# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html import json import pymongo from scrapy.conf import settings class MakedreamPipeline(object): def process_item(self, item, spider): return item class DreamMongo(object): def __init__(self): self.client = pymongo.MongoClient(host=settings['MONGO_HOST'], port=settings['MONGO_PORT']) self.db = self.client[settings['MONGO_DB']] self.post = self.db[settings['MONGO_COLL']] def process_item(self, item, spider): postItem = dict(item) self.post.insert(postItem) return item # 写入json文件类 class JsonWritePipeline(object): def __init__(self): self.file = open('织梦网其他编程.json', 'w', encoding='utf-8') def process_item(self, item, spider): line = json.dumps(dict(item), ensure_ascii=False) + "\n" self.file.write(line) return item def spider_closed(self, spider): self.file.close()
注意这里的settings的导入。
接下来我们看看settings里面的东西:
主要是mongodb的东东吧,
# -*- coding: utf-8 -*- # Scrapy settings for makedream 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 = 'makedream' SPIDER_MODULES = ['makedream.spiders'] NEWSPIDER_MODULE = 'makedream.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent #USER_AGENT = 'makedream (+http://www.yourdomain.com)' # 配置mongoDB MONGO_HOST = "127.0.0.1" # 主机IP MONGO_PORT = 27017 # 端口号 MONGO_DB = "DreamDB" # 库名 MONGO_COLL = "Dream_info" # collection # 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 = { # 'makedream.middlewares.MakedreamSpiderMiddleware': 543, #} # Enable or disable downloader middlewares # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html #DOWNLOADER_MIDDLEWARES = { # 'makedream.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 = { # 'makedream.pipelines.MakedreamPipeline': 300, 'makedream.pipelines.JsonWritePipeline':300, 'makedream.pipelines.DreamMongo':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'
接下来就是快到大结局了:
在当前项目下输入:scrapy crawl draming(爬虫名称) 就可以了。然后你就可以去看数据库,或者看到一个json文件的生成了。
给大伙瞧一下数据库。
接下来是:根据别人的教程深入学习一下scrap进行全站的抓取吧,感觉这个难度还是要有的,(包括一些cookie,代理ip,user-agent的学习)
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