#!/usr/bin/env python # -*- coding:utf-8 -*- # Author: yiliyas # Date: 2022.5.18 import re from urllib import request # 1.获取数据 def get_html(url): # https 模拟浏览器头 headers = {'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.75 Safari/537.36'} req = request.Request(url,headers=headers) response=request.urlopen(req) content=response.read().decode('gb2312') return content # 2.处理数据(设置匹配条件) def get_url(content): # 根据地址不同,判断设置不同的匹配条件 pattern = re.compile('
  • (.*?)
  • ',re.S) items = re.findall(pattern,content) return items # 3.显示数据 def show_result(items): # 根据地址不同,判断设置不同的匹配条件 for item in items: curl = item[0] cname = item[1] # 生成完整的链接地址 curl = 'http://www.stats.gov.cn/tjsj/ndsj/'+str(iyear)+'/'+str(curl) strs = '|['+cname+']('+curl+')' # 显示链接信息 print(strs) # 下载数据 get_file(curl) # 4.下载数据(写入文件) def get_file(url): file_name = url.split('/')[-1] # 修改路径(文件名加入年份,避免重复) file_names='E:/download/'+str(iyear)+file_name req = request.Request(url) u = request.urlopen(req) f = open(file_names, 'wb') block_sz = 8192 while True: buffer = u.read(block_sz) if not buffer: break f.write(buffer) f.close() print ("Sucessful to download" + " " + file_names) # 下载(2005~2021) # 定义全局变量:iyear 历年 global iyear #url = 'http://www.stats.gov.cn/tjsj/ndsj/2021/left.htm' for iyear in range(2005,2021): url = 'http://www.stats.gov.cn/tjsj/ndsj/'+str(iyear)+'/left.htm' # 获取信息 html = get_html(url) # 获取下载地址 items = get_url(html) # 下载显示数据 show_result(items)