标签:nta red contains modules comm start text contain **kwargs
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:\WINDOWS\system32\stockstar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。
标签:nta red contains modules comm start text contain **kwargs
原文地址:https://www.cnblogs.com/zhuozige/p/13126341.html