毕设需求了就是说 导师要做关于时间线的- -看发展趋势 不得不今天又现学现卖

首先 创建一个python文件 python.file 引入一点资源

# 发送请求
import requests
# 页面提取数据
from bs4 import BeautifulSoup
# 正则模块
import re
# json模块
import json

  打开丁香园 url是这个 https://ncov.dxy.cn/ncovh5/view/pneumonia?from=timeline&isappinstalled=0

  右键 源码

可以看到 框出来的有个id 这个scrpit里面有想要的数据

# 1 发送请求
respose = requests.get('https://ncov.dxy.cn/ncovh5/view/pneumonia?from=timeline&isappinstalled=0')
home_page = respose.content.decode() # 2 获取疫情信息
# 构建soup对象 给一个解析器 lxml
soup = BeautifulSoup(home_page,'lxml')
# 拿到script标签
script = soup.find(id="getAreaStat")
# 拿到标签里的内容
text = script.text
# print(text)

  

最终代码

# 发送请求
import requests
# 页面提取数据
from bs4 import BeautifulSoup
# 正则模块
import re
# json模块
import json # 1 发送请求
respose = requests.get('https://ncov.dxy.cn/ncovh5/view/pneumonia?from=timeline&isappinstalled=0')
home_page = respose.content.decode() # 2 获取疫情信息
# 构建soup对象 给一个解析器 lxml
soup = BeautifulSoup(home_page,'lxml')
# 拿到script标签
script = soup.find(id="getAreaStat")
# 拿到标签里的内容
text = script.text
# print(text)
# 3 json格式字符串 0索引将其取出来
json_str = re.findall(r'\[.+\]',text)[0]
# print(json_str)

  

最后数据就长这样

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例境外输入无症状感染者","locationId":520000,"statisticsData":"https://file1.dxycdn.com/2020/0223/148/3398299753820971243-135.json","highDangerCount":0,"midDangerCount":0,"detectOrgCount":121,"vaccinationOrgCount":13,"cities":[{"cityName":"遵义","currentConfirmedCount":0,"confirmedCount":53,"suspectedCount":0,"curedCount":53,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":520300,"currentConfirmedCountStr":"0"},{"cityName":"贵阳","currentConfirmedCount":0,"confirmedCount":39,"suspectedCount":0,"curedCount":38,"deadCount":1,"highDangerCount":0,"midDangerCount":0,"locationId":520100,"currentConfirmedCountStr":"0"},{"cityName":"毕节","currentConfirmedCount":0,"confirmedCount":23,"suspectedCount":0,"curedCount":23,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":520500,"currentConfirmedCountStr":"0"},{"cityName":"黔南州","currentConfirmedCount":0,"confirmedCount":17,"suspectedCount":0,"curedCount":17,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":522700,"currentConfirmedCountStr":"0"},{"cityName":"铜仁","currentConfirmedCount":0,"confirmedCount":12,"suspectedCount":0,"curedCount":12,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":520600,"currentConfirmedCountStr":"0"},{"cityName":"黔东南州","currentConfirmedCount":0,"confirmedCount":11,"suspectedCount":0,"curedCount":11,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":522600,"currentConfirmedCountStr":"0"},{"cityName":"六盘水","currentConfirmedCount":0,"confirmedCount":10,"suspectedCount":0,"curedCount":9,"deadCount":1,"highDangerCount":0,"midDangerCount":0,"locationId":520200,"currentConfirmedCountStr":"0"},{"cityName":"黔西南州","currentConfirmedCount":0,"confirmedCount":8,"suspectedCount":0,"curedCount":8,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":522300,"currentConfirmedCountStr":"0"},{"cityName":"安顺","currentConfirmedCount":0,"confirmedCount":5,"suspectedCount":0,"curedCount":5,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":520400,"currentConfirmedCountStr":"0"},{"cityName":"境外输入","currentConfirmedCount":0,"confirmedCount":1,"suspectedCount":0,"curedCount":1,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":0,"currentConfirmedCountStr":"0"}],"dangerAreas":[]},{"provinceName":"宁夏回族自治区","provinceShortName":"宁夏","currentConfirmedCount":0,"confirmedCount":122,"suspectedCount":0,"curedCount":122,"deadCount":0,"comment":"","locationId":640000,"statisticsData":"https://file1.dxycdn.com/2020/0223/353/3398299755968455019-135.json","highDangerCount":0,"midDangerCount":0,"detectOrgCount":27,"vaccinationOrgCount":5,"cities":[{"cityName":"银川","currentConfirmedCount":0,"confirmedCount":72,"suspectedCount":0,"curedCount":72,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":640100,"currentConfirmedCountStr":"0"},{"cityName":"吴忠","currentConfirmedCount":0,"confirmedCount":38,"suspectedCount":0,"curedCount":38,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":640300,"currentConfirmedCountStr":"0"},{"cityName":"固原","currentConfirmedCount":0,"confirmedCount":5,"suspectedCount":0,"curedCount":5,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":640400,"currentConfirmedCountStr":"0"},{"cityName":"中卫","currentConfirmedCount":0,"confirmedCount":5,"suspectedCount":0,"curedCount":5,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":640500,"currentConfirmedCountStr":"0"},{"cityName":"宁东","currentConfirmedCount":0,"confirmedCount":1,"suspectedCount":0,"curedCount":1,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":-1,"currentConfirmedCountStr":"0"},{"cityName":"石嘴山","currentConfirmedCount":0,"confirmedCount":1,"suspectedCount":0,"curedCount":1,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":640200,"currentConfirmedCountStr":"0"}],"dangerAreas":[]},{"provinceName":"澳门","provinceShortName":"澳门","currentConfirmedCount":0,"confirmedCount":82,"suspectedCount":9,"curedCount":82,"deadCount":0,"comment":"确诊病例中含9例境外输入病例","locationId":820000,"statisticsData":"https://file1.dxycdn.com/2020/0223/840/3398299753820971267-135.json","highDangerCount":0,"midDangerCount":0,"detectOrgCount":0,"vaccinationOrgCount":0,"cities":[],"dangerAreas":[]},{"provinceName":"西藏自治区","provinceShortName":"西藏","currentConfirmedCount":0,"confirmedCount":1,"suspectedCount":0,"curedCount":1,"deadCount":0,"comment":"","locationId":540000,"statisticsData":"https://file1.dxycdn.com/2020/0223/353/3398299755968039885-135.json","highDangerCount":0,"midDangerCount":0,"detectOrgCount":32,"vaccinationOrgCount":16,"cities":[{"cityName":"拉萨","currentConfirmedCount":0,"confirmedCount":1,"suspectedCount":0,"curedCount":1,"deadCount":0,"highDangerCount":0,"midDangerCount":0,"locationId":540100,"currentConfirmedCountStr":"0"}],"dangerAreas":[]}]

——————————改进——————————

增加代码复用

1-创建一个data文件夹 方便存数据

2- 复制我的代码就可以了- -

# -*- coding: utf-8 -*-
"""
Created on Sat Aug 8 21:25:12 2020 @author: admin
""" # 思路
# 1. 发送请求,获取疫情首页
# 2. 从疫情首页中提取最近一日各国疫情字符串
# 3. 从最近一日各国疫情字符串中,提取json格式字符串
# 4. 把json格式字符串,转换为Python类型
# 5. 把Python类型的数据,以json格式存入文件中 # 》重构原来代码,以提高扩展性
# 把功能封装到一个类中
# 每一个小功能变成一个方法
# 通过run方法启动爬虫
# 》实现采集从01月23日以来的世界各国疫情数据
# 》加载最近一日各国疫情数据
# 》遍历各国疫情数据,获取从01月23日以来的各个国家疫情的URL
# 》发送请求,获取获取从01月23日以来的各个国家疫情的json字符串
# 》解析各个国家疫情的json字符串,添加到列表
# 》以json格式保存从01月23日以来的各个国家疫情数据 # 》发送请求,获取疫情首页内容
# 》解析疫情首页内容,获取最近一日各省疫情信息
# 》以json格式保存疫情信息
# 重构代码提高复用性 # 》采集从01月23日以来全国各省疫情数据
# 》加载最近一日全国疫情信息
# 》遍历最近一日全国疫情信息,获取各省疫情URL
# 》发送请求,获取各省疫情json字符串
# 》解析各省疫情json字符串,并添加列表中
# 》以json格式保存疫情信息
# 代码重构 import requests
from bs4 import BeautifulSoup
import re
import json
from tqdm import tqdm class CoronaVirusSpider(object): def __init__(self):
self.home_url = 'https://ncov.dxy.cn/ncovh5/view/pneumonia' def get_content_from_url(self, url):
'''
根据URL,获取响应内容的字符串数据
:param url: 请求的URL
:return: 响应内容的字符串
'''
response = response = requests.get(url)
home_page = response.content.decode()
return home_page def parse_home_page(self, home_page, tag_id):
'''
解析首页内容,获取解析后的Python数据
:param home_page: 首页的内容
:return: 解析后的python数据
'''
# 2. 从疫情首页中提取最近一日各国疫情字符串
soup = BeautifulSoup(home_page, 'lxml')
script = soup.find(id='getAreaStat')
text = script.string
# print(text) # 3. 从最近一日各国疫情字符串中,提取json格式字符串
json_str = re.findall(r'\[.+\]', text)[0]
# print(json_str) # 4. 把json格式字符串,转换为Python类型
data = json.loads(json_str)
return data def save(self, data, path):
# 5. 把Python类型的数据,以json格式存入文件中
with open(path, 'w', encoding="utf-8") as fp:
json.dump(data, fp, ensure_ascii=False) def crawl_last_day_corona_virus(self):
'''
采集最近一天的各国疫情信息
'''
# 1.发送请求,获取首页内容
home_page = self.get_content_from_url(self.home_url)
# 2.解析首页内容,获取最近一天的各国疫情数据
last_day_corona_virus = self.parse_home_page(home_page, 'getListByCountryTypeService2true')
# 3.保存数据
self.save(last_day_corona_virus, 'data/last_day_corona_virus.json') def crawl_corona_virus(self):
'''
采集从1月23日以来的各国疫情数据
'''
# 》加载最近一日各国疫情数据
with open('data/last_day_corona_virus.json', encoding="utf-8") as fp:
last_day_corona_virus = json.load(fp)
# print(last_day_corona_virus)
# 》遍历各国疫情数据,获取从01月23日以来的各个国家疫情的URL
corona_virus = []
for country in tqdm(last_day_corona_virus, '采集1月23日以来各国疫情信息'):
# 》发送请求,获取获取从01月23日以来的各个国家疫情的json字符串
statistics_data_url = country['statisticsData']
statistics_data_json_str = self.get_content_from_url(statistics_data_url)
# 》解析各个国家疫情的json字符串,添加到列表
statistics_data = json.loads(statistics_data_json_str)['data']
for one_day in statistics_data:
one_day['provinceName'] = country['provinceName']
one_day['countryShortCode'] = country['countryShortCode']
# print(statistics_data)
# append整体放列表,extend元素放列表
corona_virus.extend(statistics_data)
# 》以json格式保存从01月23日以来的各个国家疫情数据
self.save(corona_virus, 'data/corona_virus.json') def crawl_last_day_corona_virus_of_china(self):
'''
采集最近一日各省疫情数据
'''
# 1. 发送相关请求,获取疫情首页内容
home_page = self.get_content_from_url(self.home_url)
# 2.解析首页内容,获取最近一天的各国疫情数据
data = self.parse_home_page(home_page, tag_id='getAreaStat')
# 保存疫情数据
# print(data)
self.save(data, 'data/last_day_corona_virus_of_china.json') def run(self):
self.crawl_last_day_corona_virus()
# spider.crawl_corona_virus()
self.crawl_last_day_corona_virus_of_china() if __name__ == '__main__':
spider = CoronaVirusSpider()
spider.run()

# -*- coding: utf-8 -*-
"""
Created on Sat Aug 8 22:59:23 2020 @author: admin
""" #思路
# 1. 发送请求,获取疫情首页
# 2. 从疫情首页中提取最近一日各国疫情字符串
# 3. 从最近一日各国疫情字符串中,提取json格式字符串
# 4. 把json格式字符串,转换为Python类型
# 5. 把Python类型的数据,以json格式存入文件中 # 》重构原来代码,以提高扩展性
# 把功能封装到一个类中
# 每一个小功能变成一个方法
# 通过run方法启动爬虫
# 》实现采集从01月23日以来的世界各国疫情数据
# 》加载最近一日各国疫情数据
# 》遍历各国疫情数据,获取从01月23日以来的各个国家疫情的URL
# 》发送请求,获取获取从01月23日以来的各个国家疫情的json字符串
# 》解析各个国家疫情的json字符串,添加到列表
# 》以json格式保存从01月23日以来的各个国家疫情数据 # 》发送请求,获取疫情首页内容
# 》解析疫情首页内容,获取最近一日各省疫情信息
# 》以json格式保存疫情信息
# 重构代码提高复用性 # 》采集从01月23日以来全国各省疫情数据
# 》加载最近一日全国疫情信息
# 》遍历最近一日全国疫情信息,获取各省疫情URL
# 》发送请求,获取各省疫情json字符串
# 》解析各省疫情json字符串,并添加列表中
# 》以json格式保存疫情信息
# 代码重构 import requests
from bs4 import BeautifulSoup
import re
import json
from tqdm import tqdm class CoronaVirusSpider(object): def __init__(self):
self.home_url = 'https://ncov.dxy.cn/ncovh5/view/pneumonia' def get_content_from_url(self, url):
'''
根据URL,获取响应内容的字符串数据
:param url: 请求的URL
:return: 响应内容的字符串
'''
response = response = requests.get(url)
home_page = response.content.decode()
return home_page def parse_home_page(self, home_page):
'''
解析首页内容,获取解析后的Python数据
:param home_page: 首页的内容
:return: 解析后的python数据
'''
# 2. 从疫情首页中提取最近一日各国疫情字符串
soup = BeautifulSoup(home_page, 'lxml')
script = soup.find(id='getAreaStat')
text = script.string
# print(text) # 3. 从最近一日各国疫情字符串中,提取json格式字符串
json_str = re.findall(r'\[.+\]', text)[0]
# print(json_str) # 4. 把json格式字符串,转换为Python类型
data = json.loads(json_str)
return data def parse_corona_virus(self, last_day_corona_virus_of_china, desc):
corona_virus = []
#遍历各省疫情数据,获取统计的URL
for province in tqdm(last_day_corona_virus_of_china, desc):
# 》发送请求,获取获取从01月22日以来的各省疫情的json字符串
statistics_data_url = province['statisticsData']
statistics_data_json_str = self.get_content_from_url(statistics_data_url)
# 》解析各省疫情的json字符串,添加到列表
statistics_data = json.loads(statistics_data_json_str)['data']
for one_day in statistics_data:
one_day['provinceName'] = province['provinceName']
if province.get('countryShortCode'):
one_day['countryShortCode'] = province['countryShortCode']
#append整体放列表,extend元素放列表
corona_virus.extend(statistics_data)
return corona_virus def load(self, path):
'''
根据路径加载数据
:param path:对应路径
'''
with open(path, encoding="utf-8") as fp:
data = json.load(fp)
return data def save(self, data, path):
# 5. 把Python类型的数据,以json格式存入文件中
with open(path, 'w', encoding="utf-8") as fp:
json.dump(data, fp, ensure_ascii=False) def crawl_last_day_corona_virus(self):
'''
采集最近一天的各国疫情信息
'''
# 1.发送请求,获取首页内容
home_page = self.get_content_from_url(self.home_url)
# 2.解析首页内容,获取最近一天的各国疫情数据
last_day_corona_virus = self.parse_home_page(home_page, 'getListByCountryTypeService2true')
# 3.保存数据
self.save(last_day_corona_virus, 'data/last_day_corona_virus.json') def crawl_corona_virus(self):
'''
采集从1月23日以来的各国疫情数据
'''
# 》加载最近一日各国疫情数据
last_day_corona_virus = self.load('data/last_day_corona_virus.json')
# print(last_day_corona_virus)
# 》遍历各国疫情数据,获取从01月23日以来的各个国家疫情的URL
corona_virus = self.parse_corona_virus(last_day_corona_virus, '采集1月23日以来各国疫情信息')
# 》以json格式保存从01月23日以来的各个国家疫情数据
self.save(corona_virus, 'corona_virus_spider-master/data/corona_virus.json') def crawl_last_day_corona_virus_of_china(self):
'''
采集最近一日各省疫情数据
'''
# 1. 发送相关请求,获取疫情首页内容
home_page = self.get_content_from_url(self.home_url)
# 2.解析首页内容,获取最近一天的各国疫情数据
data = self.parse_home_page(home_page, tag_id='getAreaStat')
#保存疫情数据
self.save(data, 'data/last_day_corona_virus_of_china.json') def crawl_corona_virus_of_china(self):
'''
采集从1月22日以来的全国各省疫情数据
'''
last_day_corona_virus_of_china = self.load('data/last_day_corona_virus_of_china.json')
#遍历最近一日全国疫情信息,获取各省疫情URL
corona_virus = self.parse_corona_virus(last_day_corona_virus_of_china, '采集1月22日以来各省疫情信息')
self.save(corona_virus, 'data/corona_virus_of_china.json') def run(self):
# self.crawl_last_day_corona_virus()
spider.crawl_corona_virus()
# self.crawl_last_day_corona_virus_of_china()
self.crawl_corona_virus_of_china() if __name__ == '__main__':
spider = CoronaVirusSpider()
spider.run()

里面注释写的蛮清楚了 视频链接 https://www.bilibili.com/video/BV1464y1c7Eq?p=19
可视化那里 我试试 看能不能做一个实时的挂在服务器上 然后我的java那边调用这个url了

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