step_by_step_用python爬点磁力链接

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

  1 scrapy startproject btxxxx
  2 
  3 scrapy genspider -t crawl btxxxx xxx.info

spider的代码

 1 # -*- coding: utf-8 -*-
 2 import scrapy
 3 from scrapy.linkextractors import LinkExtractor
 4 from scrapy.spiders import CrawlSpider, Rule
 5 import urllib
 6 from xxx.items import XxxxItem
 7 import sys
 8 
 9 reload(sys)
10 
11 sys.setdefaultencoding('utf8')
12 
13 class BtxxxxSpider(CrawlSpider):
14     name = 'btxxxx'
15     allowed_domains = ['btxxxx.info']
16     def __init__(self, key_word='', *args, **kwargs):
17         super(BtxxxxSpider, self).__init__(*args, **kwargs)
18         self.key_words = key_word
19         quote_str = urllib.quote(self.key_words)
20         # 网址就不搞出来啦
21         zero_url = 'http://www.xxxx.info/search/' + quote_str + '.html'
22         self.start_urls = [zero_url]
23 
24 
25     rules = (
26         Rule(LinkExtractor(allow=r'/search/b-[sS]*.html'),callback='root_url', follow=True),
27          Rule(   LinkExtractor(
28                 allow=r'/search/b-[a-z,A-Z,0-9]+/[0-9]+-[0-9]+.html'), callback='content_url', follow=True
29             ),
30         Rule(LinkExtractor(allow=r'/wiki/.*.html'), callback='parse_item', follow=False)
31     )
32 
33     def root_url(self, response):
34         pass
35 
36 
37     def content_url(self, response):
38         pass
39 
40 
41     def parse_item(self, response):
42         i = BtxxxxItem()
43         script_txt  = response.xpath('//*[@id="wall"]/h2/script/text()').extract()
44         if len(script_txt) !=0:
45             url_str = script_txt[0].replace('document.write(decodeURIComponent(', '').replace('));', '').replace('"','')
46             link_name = urllib.unquote(str(url_str.replace('+', '')))
47             i["file_name"] = link_name
48             print "*" * 10
49             #print link_name
50             print "*" * 10
51         file_nodes = response.xpath('//*[@id="wall"]/div/table/tr[last()]/td/text()').extract()
52         print "#" * 10
53         print file_nodes
54         print "#" * 10
55         if len(file_nodes) > 0 :
56             i["file_type"] = file_nodes[0].replace('
', '')
57             i["file_createtime"] = file_nodes[1].replace('
', '')
58             i["file_hot"] = file_nodes[2].replace('
', '')
59             i["file_size"] = file_nodes[3].replace('
', '')
60         i["file_url"] = response.url
61         file_link = response.xpath('//*[@id="wall"]/div[1]/div[1]/div[2]/a/@href').extract()
62         if len(file_link) > 0:
63             i["file_link"] = file_link[0]
64         yield i

items的代码

1 class BtxxxxItem(scrapy.Item):
2     file_type = scrapy.Field()
3     file_createtime = scrapy.Field()
4     file_hot = scrapy.Field()
5     file_size = scrapy.Field()
6     file_count = scrapy.Field()
7     file_link = scrapy.Field()
8     file_name = scrapy.Field()
9     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