Scrap:pthon3下的第一次运行测试

1,引言

《Scrapy的架构初探》一文讲解了Scrapy的架构,本文就实际来安装运行一下Scrapy爬虫。本文以官网的tutorial作为例子,完整的代码可以在github上下载。

2,运行环境配置

  1. 本次测试的环境是:Windows10, Python3.4.3 32bit

  2. 安装Scrapy : $ pip install Scrapy # 实际安装时,由于服务器状态的不稳定,出现好几次中途退出的情况

3,编写运行第一个Scrapy爬虫

3.1. 生成一个新项目:tutorial

$ scrapy startproject tutorial

项目目录结构如下:

3.2. 定义要抓取的item

# -*- coding: utf-8 -*-# Define here the models for your scraped items# # See documentation in:# http://doc.scrapy.org/en/latest/topics/items.htmlimport scrapyclass DmozItem(scrapy.Item):    title = scrapy.Field()    link = scrapy.Field()    desc = scrapy.Field()

3.3. 定义Spider

import scrapyfrom tutorial.items import DmozItemclass DmozSpider(scrapy.Spider):    name = "dmoz"    allowed_domains = ["dmoz.org"]    start_urls = [        "http://www.dmoz.org/Computers/Programming/Languages/Python/Books/",        "http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/"    ]    def parse(self, response):        for sel in response.xpath('//ul/li'):            item = DmozItem()            item['title'] = sel.xpath('a/text()').extract()            item['link'] = sel.xpath('a/@href').extract()            item['desc'] = sel.xpath('text()').extract()            yield item

3.4. 运行

$ scrapy crawl dmoz -o item.json
  1. 结果报错:
    A) ImportError: cannot import name '_win32stdio'
    B) ImportError: No module named 'win32api'

  2. 查错过程:查看官方的FAQ和stackoverflow上的信息,原来是scrapy在python3上测试还不充分,还有小问题。

  3. 解决过程:
    A) 需要手工去下载twisted/internet下的 _win32stdio 和 _pollingfile,存放到python目录的libsitepackagestwistedinternet下
    B) 下载并安装pywin32

再次运行,成功!在控制台上可以看到scrapy的输出信息,待运行完成退出后,到项目目录打开结果文件items.json, 可以看到里面以json格式存储的爬取结果。

[{"title": ["        About       "], "desc": [" ", " "], "link": ["/docs/en/about.html"]},{"title": ["   Become an Editor "], "desc": [" ", " "], "link": ["/docs/en/help/become.html"]},{"title": ["            Suggest a Site          "], "desc": [" ", " "], "link": ["/docs/en/add.html"]},{"title": [" Help             "], "desc": [" ", " "], "link": ["/docs/en/help/helpmain.html"]},{"title": [" Login                       "], "desc": [" ", " "], "link": ["/editors/"]},{"title": [], "desc": [" ", " Share via Facebook "], "link": []},{"title": [], "desc": [" ", "  Share via Twitter  "], "link": []},{"title": [], "desc": [" ", " Share via LinkedIn "], "link": []},{"title": [], "desc": [" ", " Share via e-Mail   "], "link": []},{"title": [], "desc": [" ", " "], "link": []},{"title": [], "desc": [" ", "  "], "link": []},{"title": ["        About       "], "desc": [" ", " "], "link": ["/docs/en/about.html"]},{"title": ["   Become an Editor "], "desc": [" ", " "], "link": ["/docs/en/help/become.html"]},{"title": ["            Suggest a Site          "], "desc": [" ", " "], "link": ["/docs/en/add.html"]},{"title": [" Help             "], "desc": [" ", " "], "link": ["/docs/en/help/helpmain.html"]},{"title": [" Login                       "], "desc": [" ", " "], "link": ["/editors/"]},{"title": [], "desc": [" ", " Share via Facebook "], "link": []},{"title": [], "desc": [" ", "  Share via Twitter  "], "link": []},{"title": [], "desc": [" ", " Share via LinkedIn "], "link": []},{"title": [], "desc": [" ", " Share via e-Mail   "], "link": []},{"title": [], "desc": [" ", " "], "link": []},{"title": [], "desc": [" ", "  "], "link": []}]

第一次运行scrapy的测试成功

4,接下来的工作

接下来,我们将使用GooSeeker API来实现网络爬虫,省掉对每个item人工去生成和测试xpath的工作量。目前有2个计划:

  1. 在gsExtractor中封装一个方法:从xslt内容中自动提取每个item的xpath

  2. 从gsExtractor的提取结果中自动提取每个item的结果

具体选择哪个方案,将在接下来的实验中确定,并发布到gsExtractor新版本中。

5,文档修改历史

2016-06-15:V1.0,首次发布

关键字:Python, scrapy, 网页爬虫

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