Sellersprite Traffic Keyword
v1.0.0使用卖家精灵流量词反查能力,按ASIN查询关键词流量来源、流量占比类型、转化类型、自然位与广告位等指标,支持历史月份与多维排序。当用户提到ASIN反查流量词、流量关键词列表、关键词流量结构、自然词/广告词分析、关键词转化类型、SellerSprite traffic keyword、Amazon traffic...
SellerSprite Traffic Keyword
This skill helps query and analyze traffic keyword lists for an Amazon ASIN via SellerSprite.
Core Concepts
- ASIN 反查词:以商品 ASIN 为输入,查看该商品获得流量的关键词列表。
- 流量占比类型(
trafficKeywordTypes):如主要流量词、精准流量词、长尾词等。 - 转化类型(
conversionKeywordTypes):如转化优质词、平稳词、流失词等。 - 词标签(
badges):如自然搜索词、Amazon Choice 推荐词等。
API Usage
- Endpoint:
POST https://tool-gateway.linkfox.com/sellersprite/traffic/keyword - Auth: Header
Authorization: <api_key>(LINKFOXAGENT_API_KEY) - See full details in
references/api.md. - Runnable script:
scripts/sellersprite_traffic_keyword.py
Key Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| marketplace | string | Yes | 市场站点,默认 US |
| asin | string | Yes | 要反查的商品 ASIN |
| month | string | No | 历史月份,格式 yyyyMM;不传默认最近30天 |
| page | integer | No | 页码,默认 1 |
| size | integer | No | 每页数量,默认 50,最大 100 |
| keyword | string | No | 关键词筛选 |
| badges | string | No | 词标签,多值逗号分隔 |
| trafficKeywordTypes | string | No | 流量占比类型,多值逗号分隔 |
| conversionKeywordTypes | string | No | 转化类型,多值逗号分隔 |
| orderField | string | No | 排序字段,默认 rankPosition |
| orderDesc | boolean | No | 是否倒序,默认 false |
Usage Examples
{
"marketplace": "US",
"asin": "B0XXXXXXXXX",
"size": 50,
"orderField": "rankPosition",
"orderDesc": false
}
{
"marketplace": "US",
"asin": "B0XXXXXXXXX",
"month": "202507",
"trafficKeywordTypes": "primary,precise",
"conversionKeywordTypes": "excellent,stable",
"page": 1,
"size": 100
}
Display Rules
- 结果优先展示:关键词、自然位、广告位、流量占比类型、转化类型。
- 明确标注查询周期(最近30天或历史月份)。
- 当存在分页时,告知总数与当前页。
- 不输出与接口无关的主观商业建议,除非用户明确要求。
Important Limitations
- 必填参数:
marketplace、asin - 单次每页最多 100 条
- 历史查询需传
yyyyMM
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
Version tags
latest
