• Scrapy爬虫


      Scrapy是一个常用的爬虫框架,可以提升爬虫的效率,从而更好的实现爬虫。Scrapy是一个为了抓取网页数据、提取结构性数据而编写的应用框架,该框架是封装的,包含request(异步调度和处理)、下载器(多线程的Downloader)、解析器(selector)和twisted(异步处理)等。

    第一步:

    安装Scrapy框架:

    pip install scrapy

    第二步:

    创建一个Scarpy爬虫项目:

    以stockstar为例:

    在cmd中输入:

    scrapy startproject stockstar

    然后按照提示输入:

    You can start your first spider with:
    cd stockstar
    scrapy genspider example example.com

    然后在相应的位置找到文件,例如在 C:WINDOWSsystem32stockstar中

     第三步:

    定义一个item容器,item容器是存储爬取数据的容器,其使用方法与Python字典类似。它提供额外的保护机制以避免拼写错误导致的未定义字段错误。

    首先需要对所要抓取的网页数据进行分析,定义所爬取记录的数据结构。相应的items.py程序如下所示:(爬取股票代码和股票简称)

    import scrapy
    from scrapy.loader import ItemLoader
    from scrapy.loader.processors import TakeFirst
    
    
    class StockstarItemLoader(ItemLoader):
        #自定义itemloader
        default_output_processor = TakeFirst()
    
    
    class StockstarItem(scrapy.Item):
        # define the fields for your item here like:
        # name = scrapy.Field()
        code = scrapy.Field()  # 股票代码
        abbr = scrapy.Field()  # 股票简称
    

      

    第四步:

    定义settings文件进行基本爬虫设置,在相应的settings.py文件中定义可显示中文的JSON Lines Exporter,并设置爬取间隔为0.25s。

    # -*- coding: utf-8 -*-
    
    # Scrapy settings for stockstar 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
    
    from scrapy.exporters import JsonLinesItemExporter
    
    # 默认显示的中文是阅读性较差的Unicode字符
    # 需要定义子类显示出原来的字符集(将父类的ensure_ascii属性设置为False即可)
    class CustomJsonLinesItemExporter(JsonLinesItemExporter):
        def __init__(self, file, **kwargs):
            super(CustomJsonLinesItemExporter, self).__init__(file, ensure_ascii=False, **kwargs)
    
    # 启用新定义的Exporter类
    FEED_EXPORTERS = {
        'json': 'stockstar.settings.CustomJsonLinesItemExporter',
    }
    
    BOT_NAME = 'stockstar'
    
    SPIDER_MODULES = ['stockstar.spiders']
    NEWSPIDER_MODULE = 'stockstar.spiders'
    
    
    # Crawl responsibly by identifying yourself (and your website) on the user-agent
    #USER_AGENT = 'stockstar (+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 = 0.25
    # 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 = {
    #    'stockstar.middlewares.StockstarSpiderMiddleware': 543,
    #}
    
    # Enable or disable downloader middlewares
    # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
    #DOWNLOADER_MIDDLEWARES = {
    #    'stockstar.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 = {
    #    'stockstar.pipelines.StockstarPipeline': 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'
    

      

    第五步:

    编写爬虫逻辑。在spiders/stock.py文件下,定义爬虫逻辑。

    # -*- coding: utf-8 -*-
    import scrapy
    from items import StockstarItem, StockstarItemLoader
    
    
    class StockSpider(scrapy.Spider):
        name = 'stock'
        allowed_domains = ['quote.stockstar.com']
        start_urls = ['http://quote.stockstar.com/stock/ranklist_a_3_1_1.html']
    
        def parse(self, response):
            page = int(response.url.split("_")[-1].split(".")[0])
            item_nodes = response.css('#datalist tr')
    
            for item_node in item_nodes:
                item_loader = StockstarItemLoader(item=StockstarItem(), selector=item_node)
                item_loader.add_css("code", "td:nth-child(1) a::text")
                item_loader.add_css("abbr", "td:nth-child(2) a::text")
                yield stock_item
    
            if item_nodes:
                next_page = page + 1
                next_url = response.url.replace("{0}.html".format(page), "{0}.html".format(next_page))
                yield scrapy.Request(url=next_url, callback=self.parse)    
    

      

    第六步:

    代码调试,在stockstar文件下新建一个main.py

    from scrapy.cmdline import execute
    
    execute(["scrapy", "crawl", "stock", "-o", "items.json"])
    

      

    运行main.py可以得知,如下结果:

     数据爬取成果,并且保存到一个.json文件中。

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  • 原文地址:https://www.cnblogs.com/zhuozige/p/13126341.html
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