Use Python get overseas epidemic data

Demo

Explain

Use Tencent's database to obtain global epidemic data.  And save it in Excel.

Code

# -*- coding:utf-8 -*-
# @Author: Nuanxinqing
# @Time: 2020/12/12 17:35
# @File: 海外数据.py
# @Software: PyCharm

# 模块
import requests
import json
import xlwt
import time


# Spider
def spider():
    # 数据来源
    url = "https://api.inews.qq.com/newsqa/v1/automation/foreign/country/ranklist"

    # 爬虫伪装
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.42'
                      '80.88 Safari/537.36'
    }

    # Start_Spider
    result = requests.get(url, headers=headers)
    data = json.loads(result.text)

    # 保存数据到Excel
    book = xlwt.Workbook(encoding='utf-8', style_compression=0)     # 创建WordBook对象
    sheet = book.add_sheet('海外数据', cell_overwrite_ok=True)      # 创建工作表

    # 创建数据表头
    data_head = ['国家', '洲域', '日期', '累计确诊', '现有确诊', '当日新增', '累计死亡', '累计治愈']
    for head in range(8):
        sheet.write(0, head, data_head[head])

    # 创建空列表，放入Data
    # 国家
    data_list_name = []
    for name in data['data']:
        data_list_name.append(name['name'])

    # 保存数据
    for name in range(len(data_list_name)):
        sheet.write(1 + name, 0, data_list_name[name])

    # 洲域
    data_list_continent = []
    for continent in data['data']:
        data_list_continent.append(continent['continent'])

    for continent in range(len(data_list_continent)):
        sheet.write(1 + continent, 1, data_list_continent[continent])

    # 日期
    year_time = time.strftime("%Y", time.localtime())
    data_list_date = []
    for date in data['data']:
        data_list_date.append(date['date'])

    for date in range(len(data_list_date)):
        sheet.write(1 + date, 2, year_time + '.' + data_list_date[date])

    # 累计确诊
    data_list_confirm = []
    for confirm in data['data']:
        data_list_confirm.append(confirm['confirm'])

    for confirm in range(len(data_list_confirm)):
        sheet.write(1 + confirm, 3, data_list_confirm[confirm])

    # 现有确诊
    data_list_nowConfirm = []
    for nowConfirm in data['data']:
        data_list_nowConfirm.append(nowConfirm['nowConfirm'])

    for nowConfirm in range(len(data_list_nowConfirm)):
        sheet.write(1 + nowConfirm, 4, data_list_nowConfirm[nowConfirm])

    # 当日新增
    data_list_confirmAdd = []
    for confirmAdd in data['data']:
        data_list_confirmAdd.append(confirmAdd['confirmAdd'])

    for confirmAdd in range(len(data_list_confirmAdd)):
        sheet.write(1 + confirmAdd, 5, data_list_confirmAdd[confirmAdd])

    # 累计死亡
    data_list_dead = []
    for dead in data['data']:
        data_list_dead.append(dead['dead'])

    for dead in range(len(data_list_dead)):
        sheet.write(1 + dead, 6, data_list_dead[dead])

    # 累计治愈
    data_list_heal = []
    for heal in data['data']:
        data_list_heal.append(heal['heal'])

    for heal in range(len(data_list_heal)):
        sheet.write(1 + heal, 7, data_list_heal[heal])

    # 保存数据表
    book.save('海外数据.xls')


# Start
if __name__ == '__main__':
    spider()

The End

The project is not over yet. I will learn about data visualization later. Let's wait a little bit.