step_by_step_用python爬点磁力链接

爬点东西 -Scrapy

今天是小年，团聚的日子，想想这一年中发生过大大小小的事，十分感慨。

言归正传: 接触python ，想着可不可以自己爬它点数据，目的是能够过滤掉他这些令人头痛的广告，当然也可以顺带熟悉一下python 的scrapy框架 那就开始吧

scrapy startproject btxxxx
 
scrapy genspider -t crawl btxxxx xxx.info

spider的代码

 

 # -*- coding: utf-8 -*-
 import scrapy
 from scrapy.linkextractors import LinkExtractor
 from scrapy.spiders import CrawlSpider, Rule
 import urllib
 from xxx.items import XxxxItem
 import sys
 
 reload(sys)
 
 sys.setdefaultencoding('utf8')
 
 class BtxxxxSpider(CrawlSpider):
     name = 'btxxxx'
     allowed_domains = ['btxxxx.info']
     def __init__(self, key_word='', *args, **kwargs):
         super(BtxxxxSpider, self).__init__(*args, **kwargs)
         self.key_words = key_word
         quote_str = urllib.quote(self.key_words)
         # 网址就不搞出来啦
         zero_url = 'http://www.xxxx.info/search/' + quote_str + '.html'
         self.start_urls = [zero_url]
 
     rules = (
         Rule(LinkExtractor(allow=r'\/search\/b-[\s\S]*\.html'),callback='root_url', follow=True),
          Rule(   LinkExtractor(
                 allow=r'\/search\/b-[a-z,A-Z,0-9]+\/[0-9]+-[0-9]+\.html'), callback='content_url', follow=True
             ),
         Rule(LinkExtractor(allow=r'\/wiki\/.*\.html'), callback='parse_item', follow=False)
     )
 
     def root_url(self, response):
         pass
 
     def content_url(self, response):
         pass
 
     def parse_item(self, response):
         i = BtxxxxItem()
         script_txt  = response.xpath('//*[@id="wall"]/h2/script/text()').extract()
         if len(script_txt) !=0:
             url_str = script_txt[0].replace('document.write(decodeURIComponent(', '').replace('));', '').replace('"','')
             link_name = urllib.unquote(str(url_str.replace('+', '')))
             i["file_name"] = link_name
             print "*" * 10
             #print link_name
             print "*" * 10
         file_nodes = response.xpath('//*[@id="wall"]/div/table/tr[last()]/td/text()').extract()
         print "#" * 10
         print file_nodes
         print "#" * 10
         if len(file_nodes) > 0 :
             i["file_type"] = file_nodes[0].replace('\n', '')
             i["file_createtime"] = file_nodes[1].replace('\n', '')
             i["file_hot"] = file_nodes[2].replace('\n', '')
             i["file_size"] = file_nodes[3].replace('\n', '')
         i["file_url"] = response.url
         file_link = response.xpath('//*[@id="wall"]/div[1]/div[1]/div[2]/a/@href').extract()
         if len(file_link) > 0:
             i["file_link"] = file_link[0]
         yield i

items的代码

 class BtxxxxItem(scrapy.Item):
     file_type = scrapy.Field()
     file_createtime = scrapy.Field()
     file_hot = scrapy.Field()
     file_size = scrapy.Field()
     file_count = scrapy.Field()
     file_link = scrapy.Field()
     file_name = scrapy.Field()
     file_url = scrapy.Field()

settings 中添加

FEED_EXPORT_ENCODING = 'utf-8'

并启用  DEFAULT_REQUEST_HEADERS

执行scrapy  (设置要检索的关键字和输出的文件)

scrapy crawl btxxxx  -a key_word=xx -o xx.json

简单的爬数据而已，包含网址信息的代码我都已经在文章中删掉，只做学习使用

转载请标明出自 原文地址