Open Claw 京东商品监控选品实战：一键抓取、实时监控、高效选品

import requests

def jd_goods_monitor(url, num_iid, api_key):
    """
    京东商品监控&选品采集函数
    :param url: 京东商品链接
    :param num_iid: 京东商品ID
    :param api_key: Open Claw授权KEY
    :return: 商品结构化数据
    """
    api_url = "https://open.onebound.cn/api/jd.item_get"
    params = {
        "api_key": api_key,
        "url": url,
        "num_iid": num_iid
    }
    resp = requests.get(api_url, params=params)
    return resp.json()

# ========== 配置你的参数 ==========
API_KEY = "你的APIKEY"
JD_URL = "https://item.jd.com/100012345678.html"
JD_IID = "100012345678"

# 抓取商品数据
result = jd_goods_monitor(JD_URL, JD_IID, API_KEY)
print("商品标题：", result.get("title"))
print("商品价格：", result.get("price"))
print("商品库存：", result.get("stock"))
print("商品SKU：", result.get("sku"))

import time
import pandas as pd

# 商品监控列表
goods_list = [
    {"num_iid": "100012345678", "target_price": 99},
    {"num_iid": "100087654321", "target_price": 199}
]

def batch_monitor(goods_list, api_key, interval=600):
    data_list = []
    for goods in goods_list:
        res = jd_goods_monitor("", goods["num_iid"], api_key)
        current_price = float(res.get("price", 9999))
        target_price = goods["target_price"]
        
        # 价格达标判断
        if current_price <= target_price:
            print(f"【达标】{res.get('title')}，当前价{current_price}，低于目标价{target_price}")
        
        data_list.append({
            "商品ID": goods["num_iid"],
            "标题": res.get("title"),
            "价格": current_price,
            "库存": res.get("stock"),
            "抓取时间": time.strftime("%Y-%m-%d %H:%M:%S")
        })
    
    # 保存到Excel
    df = pd.DataFrame(data_list)
    df.to_excel("京东选品监控表.xlsx", index=False)
    print("批量监控完成，数据已保存到Excel")

# 启动循环监控（每10分钟一次）
if __name__ == "__main__":
    while True:
        batch_monitor(goods_list, API_KEY)
        time.sleep(600)