
我用最简单、最实用、程序员一看就懂的方式说明,包含真实业务场景 + 代码逻辑 + JSON 返回数据。
python
运行
import requests
# 1. 请求淘宝API(商品/销量/评论/订单)
url = "https://api.taobao.com/router/rest"
params = {
"method": "taobao.item.get", # 接口名
"app_key": "你的key",
"num_iid": "680000000000", # 商品ID
"sign": "自动签名"
}
# 2. 获取JSON
response = requests.get(url, params=params)
data = response.json()
# 3. 分析数据(提取关键字段)
result = {
"商品ID": data["item"]["num_iid"],
"商品标题": data["item"]["title"],
"售价": data["item"]["price"],
"销量": data["item"]["sales"],
"库存": data["item"]["num"],
"店铺": data["item"]["nick"]
}
# 4. 输出/入库/生成报表
print(result)json
{
"item_get_response": {
"item": {
"num_iid": "680123456789",
"title": "2025夏季新款纯棉短袖T恤宽松大码",
"price": "59.00",
"sales": "12800",
"num": 360,
"pic_url": "https://img.taobao.com/xxx.jpg",
"detail_url": "https://detail.tmall.com/item.htm",
"nick": "XX官方旗舰店",
"cid": 50015261,
"location": "广东 广州",
"props": "颜色:白色;尺码:M/L/XL",
"created": "2025-03-15 10:00:00"
}
}
}json
{
"items_rank_get_response": {
"items": {
"total_results": 12000,
"item": [
{
"num_iid": "68000001",
"title": "爆款短袖",
"price": "49.9",
"sales": 25600,
"orders": 8500,
"convert_rate": "6.8%"
}
]
}
}
}json
{
"item_reviews_get_response": {
"reviews": {
"total": 8650,
"good_rate": "96.2%",
"review": [
{
"content": "质量很好,面料舒服",
"score": 5,
"nick": "jd***123",
"created": "2025-04-18"
}
]
}
}
}淘宝 API + Python = 自动化电商数据分析神器
能快速实现:选品、铺货、监控、报表、竞品分析,效率提升 10 倍以上。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。