#https://zhuanlan.zhihu.com/p/26342933
#https://zhuanlan.zhihu.com/p/26833760
scrapy startproject liaoxuefeng
cd liaoxuefeng
# pycharm中新建并导入工程
#讲解scrapy基本架构及文件用处
1. 引擎打开一个网站(open a domain),找到处理该网站的Spider并向该spider请求第一个要爬取的URL(s)。
2. 引擎从Spider中获取到第一个要爬取的URL并在调度器(Scheduler)以Request调度。
3. 引擎向调度器请求下一个要爬取的URL。
4. 调度器返回下一个要爬取的URL给引擎,引擎将URL通过下载中间件(请求(request)方向)转发给下载器(Downloader)。
5. 一旦页面下载完毕,下载器生成一个该页面的Response,并将其通过下载中间件(返回(response)方向)发送给引擎。
6. 引擎从下载器中接收到Response并通过Spider中间件(输入方向)发送给Spider处理。
7. Spider处理Response并返回爬取到的Item及(跟进的)新的Request给引擎。
8. 引擎将(Spider返回的)爬取到的Item给Item Pipeline,将(Spider返回的)Request给调度器。
9. (从第二步)重复直到调度器中没有更多地request,引擎关闭该网站。
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alt="" />
建立一个项目之后:
第一件事情是在items.py文件中定义一些字段,这些字段用来临时存储你需要保存的数据。方便后面保存数据到其他地方,比如数据库 或者 本地文本之类的。
第二件事情在spiders文件夹中编写自己的爬虫
第三件事情在pipelines.py中存储自己的数据
还有一件事情,不是非做不可的,就settings.py文件 并不是一定要编辑的,只有有需要的时候才会编辑。
#创建爬虫文件
这里先新建spider文件liaoxuefeng
import scrapy class LiaoxuefengSpider(scrapy.Spider):
# 这里是将爬虫定义为scrapy.Spider这个类下的一个实例。
# Spider这个类定义了爬虫的很多基本功能,我们直接实例化就好,
# 省却了很多重写方法的麻烦。
name = 'lxf'
#这是爬虫的名字,这个非常重要。
start_urls = ['http://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000']
#这是爬虫开始干活的地址,必须是一个可迭代对象。 def parse(self, response):
#爬虫收到上面的地址后,就会发送requests请求,在收到服务器返回的内容后,就将内容传递给parse函数。在这里我们重写函数,达到我们想要的功能。
titles = response.xpath("//ul[@class='uk-nav uk-nav-side']//a/text()").extract()
#这是廖雪峰老师python教程的标题列表。我们利用xpath解析器对收到的response进行分析,从而提取出我们需要的数据。//XXX表示任何任何目录下的XXX区块,/XXX表示子目录下的XXX区块,XXX[@class=abc]表示带有class=abc属性值的XXX区块,/text()表示获取该区块的文本。最后加上.extract()表示将内容提取出来。
for title in titles:
print (title)
#编写main文件
from scrapy.cmdline import execute import sys
sys.path.append("D:\PycharmProjects\liaoxuefeng") #需根据实际路径修改
execute(['scrapy','crawl','lxf'])