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python爬虫系列:更上一层楼

时间:2017-03-05 20:42:10      阅读:316      评论:0      收藏:0      [点我收藏+]

标签:request   pix   title   xe7   lis   vrp   aix   pch   mmx   

这篇博文主要写Scrapy框架的安装与使用

 

Scrapy框架安装

命令行进入C:\Anaconda2\Scripts目录,运行:conda install Scrapy

 

创建Scrapy项目

1)进入打算存储的目录下,执行scrapy startproject 文件名 命令即可创建

技术分享

新文件目录及内容

demo/
    scrapy.cfg
    tutorial/
        __init__.py
        items.py
        pipelines.py
        settings.py
        spiders/
            __init__.py
            ...

这些文件分别是:

  • scrapy.cfg: 项目的配置文件
  • demo/: 该项目的python模块.
  • demo/items.py: 项目中的item文件,即写将要抓取的内容.
  • demo/pipelines.py: 项目中的pipelines文件,即写数据如何存储.
  • demo/settings.py: 项目的设置文件,即写如何定制Scrapy组件,这个比较复杂可以忽略.
  • demo/spiders/: 放置spider代码的目录,即写如何实现爬取.

 

定义爬虫文件

1)定义Item

#item.py
 import scrapy
 from scrapy.item import Item, Field
 
 class DoubanItem(scrapy.Item):
      # define the fields for your item here like:
      # name = scrapy.Field(
      title = scrapy.Field()
      url = scrapy.Field()
      rate= scrapy.Field()
      tag = scrapy.Field()

2)定义spider

# coding:utf8
import scrapy
from douban.items import DoubanItem
from scrapy.selector import Selector
import re
from douban.pipelines import DoubanPipeline
import json
import urllib

import sys
reload(sys)
sys.setdefaultencoding(utf-8)
class DmozSpider(scrapy.Spider):
    name = "dmoz"
    allowed_domains = ["douban.com"]
    start_urls = [
        "https://movie.douban.com/j/search_subjects?type=movie&tag=热门&sort=recommend&page_limit=1000&page_start=0",
    ]
    
    def start_requests(self):       
        reqs = []
        tags = [u热门, u最新, u经典, u豆瓣高分, u冷门佳片, u华语, u欧美,
                u韩国, u日本, u动作, u喜剧, u爱情, u科幻, u悬疑, u恐怖, u文艺]
        
        for i in tags:
            url = https://movie.douban.com/j/search_subjects?type=movie&tag= + str(i) + &sort=recommend&page_limit=1000&page_start=0
            req = scrapy.Request(url)
            reqs.append(req)

        return reqs

    def parse(self, response):
        html = response.body
        url = response.url
        # print u‘地址‘,url
        tag = re.findall(utag=(.*?)&,url)[0]
        tag=urllib.unquote(tag)
        # print type(tag)

        dictt = json.loads(html)
        dd = dictt[subjects]
        items = []
        for a in dd:
            # self.get_tag(tag)
            pre_item = TutorialItem()
            pre_item[url] = a[url]
            pre_item[title] = a[title]
            pre_item[rate] = a[rate]
            pre_item[tag] = tag           
            items.append(pre_item)

        return items

3)定义pipeline

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

# Define your item pipelines here
#
# Don‘t forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html

import pymongo

class DoubanPipeline(object):

    def process_item(self, item, spider):
        db = spider.settings.get(db)
        dbb = pymongo.MongoClient(db)
        db = dbb[douban]
        # lis = (item[‘url‘],item[‘rate‘])
        db.info.insert(dict(item))
        # lis = (item[‘title‘], item[‘PORT‘], item[‘POSITION‘], item[
        #        ‘TYPE‘], item[‘SPEED‘], item[‘last_check_time‘])
        return item

4)定义setting

1 MONGO_HOST = "127.0.0.1"  # 主机IP
2 MONGO_PORT = 27017  # 端口号
3 MONGO_DB = "Spider"  # 库名 
4 MONGO_COLL = "douban"  # collection名
5 # MONGO_USER = "Ryana"
6 # MONGO_PSW = "123456"

 

运行Spider

进入spider所在的文件夹,执行scrapy crawl  spiderName 命令即可,这里再推荐一个MongoDB可视化工具Robomongo,运行结果如下图

 技术分享

  

 

python爬虫系列:更上一层楼

标签:request   pix   title   xe7   lis   vrp   aix   pch   mmx   

原文地址:http://www.cnblogs.com/Ryana/p/6147782.html

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