122 lines
3.7 KiB
Python
122 lines
3.7 KiB
Python
import csv
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import requests
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from fake_useragent import UserAgent
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import pandas as pd
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import random
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# ip池构建
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# 用于存储IP地址和端口号的列表
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ip_port_list = []
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username = 'd3347396121'
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password = 'ufinmek6'
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# 读取CSV文件
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with open('ips.csv', newline='') as csvfile:
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reader = csv.reader(csvfile)
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next(reader) # 跳过第一行，即表头
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for row in reader:
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# 将IP地址和端口号以字符串形式拼接，并添加到列表中
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ip_port = ':'.join(row) # 在IP地址和端口号之前添加"https://"
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ip_port_list.append(ip_port)
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random_proxy = random.choice(ip_port_list)
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proxies_dict = {
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"http": "http://%(user)s:%(pwd)s@%(proxy)s/" % {"user": username, "pwd": password, "proxy": random_proxy},
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"https": "http://%(user)s:%(pwd)s@%(proxy)s/" % {"user": username, "pwd": password, "proxy": random_proxy}
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}
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# ----------------爬取各城市链接------------
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ua = UserAgent()
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headers = {
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'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
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'Accept-Encoding': 'gzip, deflate, sdch',
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'Accept-Language': 'zh-CN,zh;q=0.8',
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'Connection': 'keep-alive',
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'User-Agent': ua.random
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}
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url = 'http://www.nmc.cn/f/rest/province' # 替换成实际的URL
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# public
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# 发送GET请求获取响应对象
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def get_response(url):
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response = requests.get(url, headers=headers,proxies=proxies_dict)
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return response
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# 获取城市代码
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# 从给定的JSON数据中找到指定name对应的code
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def find_code_by_name(json_data, target_name):
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for item in json_data:
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if item['name'] == target_name:
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return item['code']
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return None
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def get_cityCode(target_name,url):
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# 发送GET请求获取JSON数据
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response = get_response(url,)
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if response.status_code == 200:
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json_data = response.json()
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code = find_code_by_name(json_data, target_name)
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if code:
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print(f"The code for {target_name} is {code}\n-----------citycode获取完成-----------\n")
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return code
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else:
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print(f"Code not found for {target_name}")
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else:
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print("Failed to retrieve JSON data")
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# 获取所有区县的'city_index', 'city_name', 'city_url'
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def get_citys(url):
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# 发送GET请求获取JSON数据
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response = get_response(url)
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data = response.json()
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# 写入 CSV 文件
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with open('cities_data.csv', 'w', newline='', encoding='utf-8') as csvfile:
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fieldnames = ['city_index', 'city_name']
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writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
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writer.writeheader()
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for index, city_data in enumerate(data, start=1):
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writer.writerow({
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'city_index': city_data['code'],
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'city_name': city_data['city'],
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})
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print("\n-----------cityindex-cityname获取完成-----------\n")
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# 存储 city_index 列数据的列表
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city_index_list = []
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def get_cityIndex():
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# 打开 CSV 文件进行读取
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with open('cities_data.csv', 'r', newline='', encoding='utf-8') as csvfile:
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reader = csv.DictReader(csvfile)
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# 读取每一行数据
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for row in reader:
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# 提取 city_index 列数据并添加到列表中
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city_index_list.append(row['city_index'])
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# 存储 cities_urls 列数据的列表
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def get_citys():
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# 获取对应城市数据的网址
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citys_urllist = []
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get_cityIndex()
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for index in city_index_list:
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acityurl = 'http://www.nmc.cn/rest/weather?stationid=' + index
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acityurl = acityurl.replace(' ','')
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citys_urllist.append(acityurl)
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df = pd.DataFrame(citys_urllist, columns=['city_url'])
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df.to_csv('cities_urls.csv', index=False)
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get_citys()
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