hou7187的博客

利用scrapy框架获取全国的房价数据1.首先这里我是利用scrapy框架来进行爬取的。scrapy框架的使用可谓是既简单效率又高，下面来一起爬取。2.直接上代码：class Fang2Spider(scrapy.Spider): name = 'fang2' allowed_domains = ['fang.com/'] start_urls = ['https://www.fang.com/SoufunFamily.htm'] # 当前页数 page_now

scrapy数据入库(MySQL)采集的内容在管道中插入到MySQL中：class BookPipeline: def __init__(self): # connection database self.connect = pymysql.connect(host='127.0.0.1', user='root', passwd='123456', db='books') # 后面三

python爬取的图片保存到本地# -*- coding: utf-8 -*-import urllibimport requestsimport osimport codecsurl = 'http://724.169pp.net/bizhi/2017/039/1.jpg'bytes = urllib.request.urlopen(url)f = codecs.open(r'C:\\Users\\ME\\Desktop\\Python project\\pachong\\scrapy\\

python批量爬取校花网图片简单爬取下图片，直接上代码！import urllib.requestfrom lxml import etreeheaders = { "User-Agent": "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.2pre) Gecko/20070215 K-Ninja/2.1.1",}#获取单个对象的数据def get_one(url,headers,page=[1]):