Code:

#!/usr/bin/python
# -*- coding: utf-8 -*- '''
Created on 2014-06-27
@author: guaguastd
@name: sinaWeiboHotTrend.py
''' import json
from sinaWeiboLogin import sinaWeiboLogin # get weibo_api to access sina api
sinaWeiboApi = sinaWeiboLogin() # get sinaWeiboTrend
from sinaWeiboTrend import trendClass
trends = trendClass(sinaWeiboApi) # get sinaWeiboTrend by hourly, by daily, by weekly
while 1:
while True:
choice = raw_input("\ninput choice to get sinaWeiboTrend (1 means hourly, 2 means daily, 3 means weekly, 0 to quit):")
if choice.isdigit():
choice = int(choice)
if choice == 0 or choice == 1 or choice == 2 or choice == 3 :
break
else:
print 'input error, should input int number among 0,1,2,3, try again!' else:
print 'input error, should input int number, please try again!' if choice == 0:
print 'Succssfully exit!\r'
break
elif choice == 1:
print 'Hourly sinaWeiboTrend are as follow:\r'
hourly_trends = trends.hourly_new_trend()
print json.dumps(hourly_trends, indent=1)
elif choice == 2:
print 'Daily sinaWeiboTrend are as follow:\r'
daily_trends = trends.daily_new_trend()
print json.dumps(daily_trends, indent=1)
elif choice == 3:
print 'Weekly sinaWeiboTrend are as follow:\r'
weekly_trends = trends.weekly_new_trend()
print json.dumps(weekly_trends, indent=1)
else:
print 'Input error, try again!\r'

RESULT:

input choice to get sinaWeiboTrend (1 means hourly, 2 means daily, 3 means weekly, 0 to quit):1
Hourly sinaWeiboTrend are as follow:
{
"trends": {
"2014-07-06 08:16": [
{
"query": "\u6797\u5999\u53ef",
"amount": "26088",
"name": "\u6797\u5999\u53ef",
"delta": "26088"
},
{
"query": "\u8d1d\u513ffeynman",
"amount": "24442",
"name": "\u8d1d\u513ffeynman",
"delta": "24442"
},
{
"query": "\u5434\u901f\u73b2",
"amount": "22423",
"name": "\u5434\u901f\u73b2",
"delta": "22423"
},
{
"query": "\u8a00\u627f\u65ed",
"amount": "21956",
"name": "\u8a00\u627f\u65ed",
"delta": "21956"
},
{
"query": "\u5434\u5988",
"amount": "21533",
"name": "\u5434\u5988",
"delta": "21533"
},
{
"query": "\u591a\u59887788",
"amount": "21314",
"name": "\u591a\u59887788",
"delta": "21314"
},
{
"query": "\u52a0\u6cb9\u5434\u4ea6\u51e1",
"amount": "21051",
"name": "\u52a0\u6cb9\u5434\u4ea6\u51e1",
"delta": "21051"
},
{
"query": "\u5305\u5b50\u59b9",
"amount": "20939",
"name": "\u5305\u5b50\u59b9",
"delta": "20939"
},
{
"query": "\u7537\u795e\u9e7f\u6657\u91cd\u8fd4\u5feb\u672c",
"amount": "20570",
"name": "\u7537\u795e\u9e7f\u6657\u91cd\u8fd4\u5feb\u672c",
"delta": "20570"
},
{
"query": "\u8377\u5170 \u54e5\u65af\u8fbe\u9ece\u52a0",
"amount": "20033",
"name": "\u8377\u5170 \u54e5\u65af\u8fbe\u9ece\u52a0",
"delta": "20033"
}
]
},
"as_of": 1404605804
} input choice to get sinaWeiboTrend (1 means hourly, 2 means daily, 3 means weekly, 0 to quit):2
Daily sinaWeiboTrend are as follow:
{
"trends": {
"2014-07-06 08:23": [
{
"query": "\u6797\u5999\u53ef",
"amount": "26434",
"name": "\u6797\u5999\u53ef",
"delta": "26434"
},
{
"query": "\u8d1d\u513ffeynman",
"amount": "24677",
"name": "\u8d1d\u513ffeynman",
"delta": "24677"
},
{
"query": "\u5434\u901f\u73b2",
"amount": "22716",
"name": "\u5434\u901f\u73b2",
"delta": "22716"
},
{
"query": "\u8a00\u627f\u65ed",
"amount": "22315",
"name": "\u8a00\u627f\u65ed",
"delta": "22315"
},
{
"query": "\u8377\u5170 \u54e5\u65af\u8fbe\u9ece\u52a0",
"amount": "22162",
"name": "\u8377\u5170 \u54e5\u65af\u8fbe\u9ece\u52a0",
"delta": "22162"
},
{
"query": "\u5434\u5988",
"amount": "21776",
"name": "\u5434\u5988",
"delta": "21776"
},
{
"query": "\u52a0\u6cb9\u5434\u4ea6\u51e1",
"amount": "21389",
"name": "\u52a0\u6cb9\u5434\u4ea6\u51e1",
"delta": "21389"
},
{
"query": "\u5305\u5b50\u59b9",
"amount": "21232",
"name": "\u5305\u5b50\u59b9",
"delta": "21232"
},
{
"query": "\u53e4\u4e3d\u7c73\u5a1c",
"amount": "19406",
"name": "\u53e4\u4e3d\u7c73\u5a1c",
"delta": "19406"
},
{
"query": "\u91d1\u661f",
"amount": "19130",
"name": "\u91d1\u661f",
"delta": "19130"
}
]
},
"as_of": 1404606238
} input choice to get sinaWeiboTrend (1 means hourly, 2 means daily, 3 means weekly, 0 to quit):3
Weekly sinaWeiboTrend are as follow:
{
"trends": {
"2014-07-06 08:24": [
{
"query": "\u6797\u5999\u53ef",
"amount": "26434",
"name": "\u6797\u5999\u53ef",
"delta": "26434"
},
{
"query": "\u8d1d\u513ffeynman",
"amount": "24677",
"name": "\u8d1d\u513ffeynman",
"delta": "24677"
},
{
"query": "\u5434\u901f\u73b2",
"amount": "22716",
"name": "\u5434\u901f\u73b2",
"delta": "22716"
},
{
"query": "\u8a00\u627f\u65ed",
"amount": "22315",
"name": "\u8a00\u627f\u65ed",
"delta": "22315"
},
{
"query": "\u8377\u5170 \u54e5\u65af\u8fbe\u9ece\u52a0",
"amount": "22162",
"name": "\u8377\u5170 \u54e5\u65af\u8fbe\u9ece\u52a0",
"delta": "22162"
},
{
"query": "\u5434\u5988",
"amount": "21776",
"name": "\u5434\u5988",
"delta": "21776"
},
{
"query": "\u52a0\u6cb9\u5434\u4ea6\u51e1",
"amount": "21389",
"name": "\u52a0\u6cb9\u5434\u4ea6\u51e1",
"delta": "21389"
},
{
"query": "\u5305\u5b50\u59b9",
"amount": "21232",
"name": "\u5305\u5b50\u59b9",
"delta": "21232"
},
{
"query": "\u53e4\u4e3d\u7c73\u5a1c",
"amount": "19406",
"name": "\u53e4\u4e3d\u7c73\u5a1c",
"delta": "19406"
},
{
"query": "\u91d1\u661f",
"amount": "19130",
"name": "\u91d1\u661f",
"delta": "19130"
}
]
},
"as_of": 1404606244
} input choice to get sinaWeiboTrend (1 means hourly, 2 means daily, 3 means weekly, 0 to quit):

Python 获取新浪微博的热门话题 (API)的更多相关文章

  1. Python3获取新浪微博内容乱码问题

    用python获取新浪微博最近发布内容的时候调用 public_timeline()函数的返回值是个jsonDict对象,首先需要将该对象通过json.dumps函数转换成字符串,然后对该字符串用GB ...

  2. 5-46 新浪微博热门话题 (30分)——unfinished HASH

    5-46 新浪微博热门话题   (30分) 新浪微博可以在发言中嵌入“话题”,即将发言中的话题文字写在一对“#”之间,就可以生成话题链接,点击链接可以看到有多少人在跟自己讨论相同或者相似的话题.新浪微 ...

  3. Python知乎热门话题爬取

    本例子是参考崔老师的Python3网络爬虫开发实战写的 看网页界面: 热门话题都在 explore-feed feed-item的div里面 源码如下: import requests from py ...

  4. 用python+selenium抓取微博24小时热门话题的前15个并保存到txt中

    抓取微博24小时热门话题的前15个,抓取的内容请保存至txt文件中,需要抓取排行.话题和阅读数 #coding=utf-8 from selenium import webdriver import ...

  5. 定向爬虫 - Python模拟新浪微博登录

    当我们试图从新浪微博抓取数据时,我们会发现网页上提示未登录,无法查看其他用户的信息. 模拟登录是定向爬虫制作中一个必须克服的问题,只有这样才能爬取到更多的内容. 实现微博登录的方法有很多,一般我们在模 ...

  6. 使用python的Flask实现一个RESTful API服务器端[翻译]

    最近这些年,REST已经成为web services和APIs的标准架构,很多APP的架构基本上是使用RESTful的形式了. 本文将会使用python的Flask框架轻松实现一个RESTful的服务 ...

  7. 使用python的Flask实现一个RESTful API服务器端

    使用python的Flask实现一个RESTful API服务器端 最近这些年,REST已经成为web services和APIs的标准架构,很多APP的架构基本上是使用RESTful的形式了. 本文 ...

  8. 用 Python 获取 B 站播放历史记录

    用 Python 获取 B 站播放历史记录 最近 B 站出了一个年度报告,统计用户一年当中在 B 站上观看视频的总时长和总个数.过去一年我居然在 B 站上看了2600+个视频,总计251个小时,居然花 ...

  9. python获取公网ip,本地ip及所在国家城市等相关信息收藏

    python获取公网ip的几种方式       from urllib2 import urlopen   my_ip = urlopen('http://ip.42.pl/raw').read() ...

随机推荐

  1. POJ中和质数相关的三个例题(POJ 2262、POJ 2739、POJ 3006)

    质数(prime number)又称素数,有无限个.一个大于1的自然数,除了1和它本身外,不能被其他自然数整除,换句话说就是该数除了1和它本身以外不再有其他的因数:否则称为合数.      最小的质数 ...

  2. CRegKey

    1.简介 CRegKey提供了对系统注册表的操作方法,通过CRegKey类,可以方便的打开注册表的某个分支或子键(CRegKey::Open),可以方便的修改一个键的键值(CRegKey::SetVa ...

  3. Java集合(三)--Collection、Collections和Arrays

    Collection: Collection是集合类的顶级接口,提供了对集合对象进行基本操作的通用接口方法.Collection接口的意义是为各种具体的集合提供了最大化 的统一操作方式,其直接继承接口 ...

  4. php简单实用的调试工具类

    <?php /* * 调试类 */ class Common_Debug { //打开错误报告 public static function showError($debug = true) { ...

  5. base64记载

    一丶 js /** * * Base64 encode / decode * * @author haitao.tu * @date 2010-04-26 * @email tuhaitao@foxm ...

  6. socket编程(Java实现)

    主要是前段时间学习的网络知识的基于TCP与UDP编程,Java实现简单的大小写字母的转化,该文主要参考: https://blog.csdn.net/yjp19871013/article/detai ...

  7. MySQL和Oracle的比较

    可以从以下几个方面来进行比较: (1) 对事务的提交    MySQL默认是自动提交,而Oracle默认不自动提交,需要用户手动提交,需要在写commit;指令或者点击commit按钮(2) 分页查询 ...

  8. python3.x Day5 异常处理

    异常处理: 预计可能会发生的异常,明确如果发生,如何处理,不过一般不参与业务逻辑,也不要一次性捕捉全部异常,不然可能程序就不可控了. data={} mmm=[] try: #捕获异常, data[& ...

  9. Adversarial Auto-Encoders

    目录 Another Approach: q(z)->p(z) Intuitively comprehend KL(p|q) Minimize KL Divergence How to comp ...

  10. python 深浅拷贝&集合

    一.深浅拷贝 1.浅拷贝,只会拷贝第一层 s = [1, 'ss', '小可爱'] s1 = s.copy() print(s1) >>> [1, 'ss', '小可爱'] s = ...