一个scrapy使用的demo,以后抓数据可以参考它
1.Items
# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/en/latest/topics/items.html import scrapy class RssItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() title = scrapy.Field() link = scrapy.Field() description = scrapy.Field() lastBuildDate = scrapy.Field() generator = scrapy.Field() language = scrapy.Field() copyright = scrapy.Field() pubDate = scrapy.Field() items = scrapy.Field() class NodeItem(scrapy.Item): title = scrapy.Field() link = scrapy.Field() description = scrapy.Field() author = scrapy.Field() comments = scrapy.Field() pubDate = scrapy.Field() guid = scrapy.Field() class RowItem(scrapy.Item): name = scrapy.Field() sex = scrapy.Field() addr = scrapy.Field() email = scrapy.Field() class GoodsItem(scrapy.Item): name = scrapy.Field() price = scrapy.Field() link = scrapy.Field() commnum = scrapy.Field() class NewsLinkItem(scrapy.Item): name = scrapy.Field() link = scrapy.Field()
2.settings
# -*- coding: utf-8 -*- # Scrapy settings for demo project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # http://doc.scrapy.org/en/latest/topics/settings.html # http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html # http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html BOT_NAME = 'demo' SPIDER_MODULES = ['demo.spiders'] NEWSPIDER_MODULE = 'demo.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent #USER_AGENT = 'demo (+http://www.yourdomain.com)' # Obey robots.txt rules ROBOTSTXT_OBEY = False # Configure maximum concurrent requests performed by Scrapy (default: 16) #CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0) # See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay # See also autothrottle settings and docs DOWNLOAD_DELAY = 0.5 # The download delay setting will honor only one of: #CONCURRENT_REQUESTS_PER_DOMAIN = 16 #CONCURRENT_REQUESTS_PER_IP = 16 # Disable cookies (enabled by default) COOKIES_ENABLED = False # Disable Telnet Console (enabled by default) #TELNETCONSOLE_ENABLED = False # Override the default request headers: #DEFAULT_REQUEST_HEADERS = { # 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', # 'Accept-Language': 'en', #} # Enable or disable spider middlewares # See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html #SPIDER_MIDDLEWARES = { # 'demo.middlewares.DemoSpiderMiddleware': 543, #} # Enable or disable downloader middlewares # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html #DOWNLOADER_MIDDLEWARES = { # 'demo.middlewares.MyCustomDownloaderMiddleware': 543, #} # Enable or disable extensions # See http://scrapy.readthedocs.org/en/latest/topics/extensions.html #EXTENSIONS = { # 'scrapy.extensions.telnet.TelnetConsole': None, #} # Configure item pipelines # See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html ITEM_PIPELINES = { 'demo.pipelines.DemoPipeline': 300, } # Enable and configure the AutoThrottle extension (disabled by default) # See http://doc.scrapy.org/en/latest/topics/autothrottle.html #AUTOTHROTTLE_ENABLED = True # The initial download delay #AUTOTHROTTLE_START_DELAY = 5 # The maximum download delay to be set in case of high latencies #AUTOTHROTTLE_MAX_DELAY = 60 # The average number of requests Scrapy should be sending in parallel to # each remote server #AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0 # Enable showing throttling stats for every response received: #AUTOTHROTTLE_DEBUG = False # Enable and configure HTTP caching (disabled by default) # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings #HTTPCACHE_ENABLED = True #HTTPCACHE_EXPIRATION_SECS = 0 #HTTPCACHE_DIR = 'httpcache' #HTTPCACHE_IGNORE_HTTP_CODES = [] #HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
3.pipline
# -*- coding: utf-8 -*- import json import codecs from demo.dbconnect import DbUtil # 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 class DemoPipeline(object): def __init__(self): self.file = codecs.open("mydata.json", 'wb', encoding='utf-8') self.dbutil = DbUtil('127.0.0.1','longlh','solong1980','orders') def process_item(self, item, spider): #print(item) #print(spider.name) if spider.name is 'DangDangSpider': for i in range(0,len(item['name'])): name = item['name'][i] link = item['link'][i] price = item['price'][i] commnum = item['commnum'][i] goods ={'name':name,'link':link,'price':price,'commnum':commnum} line = json.dumps(dict(goods), ensure_ascii=False) line = str(line) + '\n' self.file.write(line) if spider.name is 'webcrawl': for i in range(0,len(item['name'])): name = item['name'][i] link = item['link'][i] print(name) print(link) print("insert into tbtable(name,link) values('" + name + "','" + link + "')") self.dbutil.add("insert into tbtable(name,link) values('" + name + "','" + link + "')") return item def close_spider(self, spider): self.file.close() self.dbutil.close()
4.db util
# -*- coding: utf-8 -*- import pymysql import logging from pymysql import charset class DbUtil(): def __init__(self, host, user, passwd, db, port=3306): self.host = host self.port = port self.user = user self.passwd = passwd self.db = db try: self.conn = pymysql.connect(host, user, passwd, db,charset='utf8') except Exception as e: logging.error(str(e)) raise Exception("connect fail") def cursor(self): return self.conn.cursor() def select(self, sql): return self.cursor().execute(sql) def add(self, sql): self.conn.query(sql) def close(self): try: self.conn.commit() except Exception as e: print(str(e)) finally: self.conn.close()
5.Spider
# -*- coding: utf-8 -*- from scrapy.linkextractors import LinkExtractor from scrapy.spiders import CrawlSpider, Rule from demo.items import NewsLinkItem class WebcrawlSpider(CrawlSpider): name = 'webcrawl' allowed_domains = ['sohu.com'] start_urls = ['http://sports.sohu.com/nba.shtml'] rules = ( Rule(LinkExtractor(allow=('.*?/n.*?shtml'),allow_domains=('sohu.com')), callback='parse_item', follow=True), ) def parse_item(self, response): i = NewsLinkItem() i['name'] = response.xpath('/html/head/title/text()').extract() i['link'] = response.xpath('//link[@rel="canonical"]/@href').extract() return i
相关推荐
在"Python Scrapy 爬虫框架demo"中,我们可以看到一个完整的Scrapy项目实例,包括了后端数据库集成的相关逻辑。 1. **Scrapy的基本架构**: - Scrapy由多个组件构成,如Spiders、Item、Item Pipeline、Request/...
以上就是在Windows环境下搭建Scrapy并创建一个简单的爬虫项目的过程,包括了多级URL的爬取、代理IP设置、User-Agent动态选择以及数据保存到JSON文件的相关知识点。通过这个过程,你可以学习到Scrapy框架的基础用法,...
Scrapy是一个强大的Python爬虫框架,它为开发者提供了一套完整的工具链,使得构建网络爬虫变得简单高效。本项目“Scrapy爬取百度图片的Demo”是一个实用的实例,教你如何利用Scrapy来抓取百度图片搜索结果,并对爬取...
在这个"点评.zip"压缩包中,包含的是一个使用Scrapy构建的简单爬虫示例,该爬虫设计用于抓取大众点评网站上的商家信息,特别是商家名字和星级。 首先,让我们深入了解一下Scrapy的基础知识。Scrapy由多个组件组成,...
7. **数据可视化**: Echarts在Django后端中生成的图表可以通过API返回给前端,前端可以是一个简单的HTML页面,利用JavaScript调用API获取数据并渲染图表。用户可以通过交互式图表查看不同维度的职位数据,如地区分布...
这个"网络爬虫的简单demo"提供了一个基础的爬虫实例,主要用于教学和理解爬虫工作原理,尤其适合初学者入门。由于它主要针对静态网站,这意味着它可能无法有效地处理动态内容丰富的网站,因为这些网站往往依赖于...
这个Java网络爬虫的简单Demo展示了基本的网络请求和HTML解析过程,但实际的网络爬虫可能涉及更复杂的逻辑和策略,如多线程、分布式爬虫、数据清洗与分析等。对于更复杂的需求,可以研究如Scrapy这样的高级框架,它...
总的来说,这个Python基于Scrapy抓取压缩包的demo源码展示了如何结合Scrapy框架和Python标准库处理压缩包中的数据。它涵盖了从下载压缩包、解压文件到解析内容和存储数据的整个流程,是学习Scrapy爬虫处理压缩包的一...
2. 在`ScrapyDemo/spiders`目录下创建新的Python文件,如`spiderDemo.py`,编写爬虫逻辑: ```python import scrapy from ScrapyDemo.items import ArticleItem class CSDNArticle(scrapy.Spider): name = '...
经过上一篇教程我们已经大致了解了Scrapy的基本情况,并写了一个简单的小demo。这次我会以爬取豆瓣电影TOP250为例进一步为大家讲解一个完整爬虫的流程。 工具和环境 语言:python 2.7 IDE: Pycharm 浏览器:...
安装完成后,你可以通过一个简单的测试来验证Scrapy是否成功安装。在任意目录,按住Shift+右键,选择“在此处打开命令提示符窗口”,然后输入`scrapy startproject fourth`创建一个新的Scrapy项目。如果出现Scrapy...
5. **异步请求与Scrapy框架**:如果商品数量庞大,为了提高效率,可以使用异步请求库如`aiohttp`或使用专门的爬虫框架Scrapy。这些工具能并发处理多个请求,显著提升爬取速度。 6. **模拟登录**:对于需要登录后...
【标题】:一个简单的爬虫demo使用了一些Xpath技术 【描述】:这个简单的爬虫示例演示了如何利用Xpath技术抓取网页上的信息。Xpath是一种在XML文档中查找信息的语言,同样适用于HTML文档,它允许我们高效地定位到...
在31个demo源码中,初学者可能会遇到上述各种概念的实际应用,例如简单的输入输出练习、函数和模块的使用、面向对象编程的示例,以及文件操作和异常处理的例子。通过实践这些代码,新手可以更好地理解Python的工作...
1. **简洁易读**: Python的语法非常简洁和易于理解,使得编写爬虫程序变得相对简单。与其他编程语言相比,Python代码通常更加可读,逻辑清晰,这样就可以更轻松地实现和维护爬虫程序。 2. **丰富的第三方库**: ...
总的来说,“Python爬虫-使用Python开发的爬虫示例demo.zip”涵盖了从基础的HTTP请求到高级的反爬策略,从简单的数据解析到复杂的数据存储,以及爬虫框架和分布式爬虫的概念。通过学习这个示例,你将能够掌握Python...
以下是一个简单的Python爬虫代码示例,使用了Requests和BeautifulSoup: ```python import requests from bs4 import BeautifulSoup def spider(url): response = requests.get(url) # 发送GET请求 response....
在这个压缩包中,我们找到了一系列在学习Python过程中编写的demo,涵盖了多个重要主题,包括爬虫、SQLite数据库操作、图形用户界面Tkinter、光学字符识别(OCR)以及简单的脚本编写。接下来,我们将深入探讨这些知识点...