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
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(u‘tag=(.*?)&‘,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
标签:request pix title xe7 lis vrp aix pch mmx
原文地址:http://www.cnblogs.com/Ryana/p/6147782.html