今天想爬取一些政策，从政策服务 (smejs.cn) 这个网址爬取，html源码找不到链接地址，通过浏览器的开发者工具，点击以下红框

分析预览可知想要的链接地址的id有了，进行地址拼接就行

点击标头可以看到请求后端服务器的api地址，通过拿到这个地址，编写python脚本，不会的可以让gpt帮你写，很好用

import requests
import pandas as pd
import logging
import time
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

# 设置日志
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# 请求头信息
headers = {
    'Content-Type': 'application/json',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}

# 基础URL
base_url = 'https://policy-gateway.smejs.cn/policy/api/policy/getNewPolicyList'
base_policy_url = 'https://policy.smejs.cn/frontend/policy-service/'

# 参数
params = {
    'orderBy': '',
    'keyWords': '',
    'genreCode': 'K,A,S,Z',
    'queryPublishBegin': '',
    'queryPublishEnd': '',
    'queryApplyBegin': '',
    'queryApplyEnd': '',
    'typeCondition': '',
    'publishUnit': '',
    'applyObj': '',
    'meetEnterprise': '',
    'title': '',
    'commissionOfficeIds': '',
    'commissionOfficeSearchIds': '',
    'industry': '',
    'relativePlatform': '',
    'level': '',
    'isSearch': 'N',
    'policyType': '',
    'provinceValue': '江苏省',
    'cityValue': '',
    'regionValue': '',
    'current': 1,
    'size': 15,
    'total': 23960,
    'page': 0
}

# 总条目数和每页条目数
total_policies = 23960
page_size = 15
total_pages = (total_policies // page_size) + 1

# 存储所有政策数据
all_policies = []

# 配置重试策略
retry_strategy = Retry(
    total=5,
    status_forcelist=[429, 500, 502, 503, 504],
    allowed_methods=["HEAD", "GET", "OPTIONS"]
)
adapter = HTTPAdapter(max_retries=retry_strategy)
http = requests.Session()
http.mount("https://", adapter)
http.mount("http://", adapter)

# 遍历每一页
for page in range(total_pages):
    params['current'] = page + 1
    try:
        response = http.get(base_url, headers=headers, params=params, verify=False)
        response.raise_for_status()
    except requests.exceptions.RequestException as e:
        logging.error(f"Failed to fetch data for page {page + 1}: {e}")
        continue
    
    data = response.json()
    
    if 'records' not in data['data']:
        logging.error(f"No records found for page {page + 1}")
        continue
    
    records = data['data']['records']
    for record in records:
        policy_id = record.get('id')
        level_value = record.get('levelValue')
        title = record.get('title')
        type_value = record.get('typeValue')
        commission_office_names = record.get('commissionOfficeNames')
        publish_time = record.get('publishTime')
        valid_date_end = record.get('validDateEnd')
        
        policy_url = base_policy_url + policy_id
        
        all_policies.append({
            'ID': policy_id,
            'URL': policy_url,
            'Level Value': level_value,
            'Title': title,
            'Type Value': type_value,
            'Commission Office Names': commission_office_names,
            'Publish Time': publish_time,
            'Valid Date End': valid_date_end
        })
    
    logging.info(f"Fetched data for page {page + 1}")
    time.sleep(1)  # 防止过快请求

# 转换为DataFrame
df = pd.DataFrame(all_policies)

# 保存到Excel
df.to_excel('policies.xlsx', index=False)
logging.info("Data saved to policies.xlsx")

然后运行后，就等到爬取完成了，后面也可以多线程爬，还没试，不知道是否有防爬机制。。。。