爬蟲框架簡單學習,第1張

一、簡單配置,獲取單個網頁上的內容。

(1)創建scrapy項目

```c

scrapy startproject getblog

```

(2)編輯 items.py

```c

# -*- coding: utf-8 -*-

# Define here the models for your scraped items

#

# See documentation in:

# /en/latest/topics/items.html

from scrapy.item import Item, Field

class BlogItem(Item):

  title = Field()

  desc = Field()

```

(3)在spiders 文件夾下,創建 blog_spider.py

需要熟悉下xpath選擇,感覺跟JQuery選擇器差不多,但是不如JQuery選擇器用著舒服( w3school教程:/mb/reg.asp?kefu=xiaoding )。

```c

# coding=utf-8

from scrapy.spider import Spider

from getblog.items import BlogItem

from scrapy.selector import Selector

class BlogSpider(Spider):

  # 標識名稱

  name = blog

  # 起始地址

  start_urls = [ http://www.cnblogs.com/ ]

  def parse(self, response):

    sel = Selector(response) # Xptah 選擇器

    # 選擇所有含有class屬性,值爲'post_item 的div 標簽內容

    # 下麪的 第2個div 的 所有內容

    sites = sel.xpath( //div[@ >

    items = []

    for site in sites:

      item = BlogItem()

      # 選取h3標簽下,a標簽下,的文字內容 'text()

      item[ title ] = site.xpath( h3/a/text() ).extract()

      # 同上,p標簽下的 文字內容 'text()

      item[ desc ] = site.xpath( p[@ >

      items.append(item)

    return items

```

(4)運行,

```c

scrapy crawl blog # 即可

```

(5)輸出文件。

 在 settings.py 中進行輸出配置。

```c

# 輸出文件位置

FEED_URI = blog.xml

# 輸出文件格式 可以爲 json,xml,csv

FEED_FORMAT = xml

```

輸出位置爲項目根文件夾下。

二、基本的 -- scrapy.spider.Spider

    (1)使用交互shell

```c

dizzy@dizzy-pc:~$ scrapy shell http://www.baidu.com/

2014-08-21 04:09:11 0800 [scrapy] INFO: Scrapy 0.24.4 started (bot: scrapybot)

2014-08-21 04:09:11 0800 [scrapy] INFO: Optional features available: ssl, http11, django

2014-08-21 04:09:11 0800 [scrapy] INFO: Overridden settings: { LOGSTATS_INTERVAL : 0}

2014-08-21 04:09:11 0800 [scrapy] INFO: Enabled extensions: TelnetConsole, CloseSpider, WebService, CoreStats, SpiderState

2014-08-21 04:09:11 0800 [scrapy] INFO: Enabled downloader middlewares: HttpAuthMiddleware, DownloadTimeoutMiddleware, UserAgentMiddleware, RetryMiddleware, DefaultHeadersMiddleware, MetaRefreshMiddleware, HttpCompressionMiddleware, RedirectMiddleware, CookiesMiddleware, ChunkedTransferMiddleware, DownloaderStats

2014-08-21 04:09:11 0800 [scrapy] INFO: Enabled spider middlewares: HttpErrorMiddleware, OffsiteMiddleware, RefererMiddleware, UrlLengthMiddleware, DepthMiddleware

2014-08-21 04:09:11 0800 [scrapy] INFO: Enabled item pipelines: 

2014-08-21 04:09:11 0800 [scrapy] DEBUG: Telnet console listening on 127.0.0.1:6024

2014-08-21 04:09:11 0800 [scrapy] DEBUG: Web service listening on 127.0.0.1:6081

2014-08-21 04:09:11 0800 [default] INFO: Spider opened

2014-08-21 04:09:12 0800 [default] DEBUG: Crawled (200) GET http://www.baidu.com/ (referer: None)

[s] Available Scrapy objects:

[s]  crawler  scrapy.crawler.Crawler object at 0xa483cec

[s]  item    {}

[s]  request  GET http://www.baidu.com/

[s]  response  200 http://www.baidu.com/

[s]  settings  scrapy.settings.Settings object at 0xa0de78c

[s]  spider    Spider default at 0xa78086c

[s] Useful shortcuts:

[s]  shelp()      Shell help (print this help)

[s]  fetch(req_or_url) Fetch request (or URL) and update local objects

[s]  view(response)  View response in a browser

 

  # response.body 返廻的所有內容

  # response.xpath( //ul/li ) 可以測試所有的xpath內容

    More important, if you type response.selector you will access a selector object you can use to

query the response, and convenient shortcuts like response.xpath() and response.css() mapping to

response.selector.xpath() and response.selector.css()

```

也就是可以很方便的,以交互的形式來查看xpath選擇是否正確。之前是用FireFox的F12來選擇的,但是竝不能保証每次都能正確的選擇出內容。

        也可使用:

```c

scrapy shell --nolog

# 蓡數 --nolog 沒有日志

```

(2)示例

```c

from scrapy import Spider

from scrapy_test.items import DmozItem

class DmozSpider(Spider):

  name = dmoz

  allowed_domains = [ dmoz.org ]

  start_urls = [ /Computers/Programming/Languages/Python/Books/ ,

          /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)保存文件

        可以使用,保存文件。格式可以 json,xml,csv

```c

scrapy crawl -o a.json -t json

```

(4)使用模板創建spider

```c

scrapy genspider baidu baidu.com

# -*- coding: utf-8 -*-

import scrapy

class BaiduSpider(scrapy.Spider):

  name = baidu

  allowed_domains = [ baidu.com ]

  start_urls = (

    http://www.baidu.com/ ,

  )

  def parse(self, response):

    pass

```


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