【行政区划获取】

行政区划获取

获取2023年的行政区划，并以 编码: 省市区 格式保存为字典方便后续调用 注：网址可能会更新，根据最新的来

# 获取并保存行政区划代码 import requests from lxml import etree import json def fetch_html(url): """获取网页内容""" try: response = requests.get(url) response.raise_for_status() response.encoding = 'utf-8' return response.text except requests.RequestException as e: print(f"请求失败: {e}") return None def parse_html(html): """解析HTML并生成行政区划字典""" if not html: return None html_tree = etree.HTML(html) rows = html_tree.xpath('//*[text()="行政区划代码"]/../following-sibling::tr') location_dict = {} current_province = '' current_city = '' for row in rows: if not row.xpath('./td[2]/text()'): continue code = row.xpath('./td[2]/text()')[0].strip() name = row.xpath('./td[3]/text()')[0].replace('*', '').strip() if code.endswith('0000'): # 省级 current_province = name location_dict[code] = {'province': current_province, 'city': '', 'district': ''} elif code.endswith('00'): # 市级 current_city = name location_dict[code] = {'province': current_province, 'city': current_city, 'district': ''} else: # 区县级 location_dict[code] = {'province': current_province, 'city': current_city, 'district': name} return location_dict def generate_full_address(location_dict): """生成完整的地址字符串""" finally_location_dict = {} for code, location in location_dict.items(): full_address = f"{location['province']} {location['city']} {location['district']}".strip() finally_location_dict[code] = full_address return finally_location_dict def save_to_json(data, filename): """将数据保存为JSON文件""" try: with open(filename, 'w+', encoding='utf-8') as f: json.dump(data, f, ensure_ascii=False, indent=2) print(f"数据已成功保存到 {filename}") except IOError as e: print(f"文件保存失败: {e}") def main(): url = ' .mca.gov /mzsj/xzqh/2023/202301xzqh.html' html = fetch_html(url) if html: location_dict = parse_html(html) if location_dict: finally_location_dict = generate_full_address(location_dict) save_to_json(finally_location_dict, 'city_and_code.json') if __name__ == "__main__": main() # 提取编码对应省市区 # with open(r'city_and_code.json', "r", encoding="utf-8") as f: # dict_ = json.load(f) # print(dict_["320507"])