Ehunt Temu Store Query
/install linkfox-ehunt-temu-store-query
EHunt Temu 店铺查询(ehunt/temu/storeQuery)
在具备 LinkFox「第三方数据服务」MCP 时,对应网关路由 ehunt/temu/storeQuery 调用(MCP 展示名:Temu 店铺查询,确切工具名以当前环境下发的工具元数据为准)。鉴权与上游路由由网关处理;若响应含根级 code 字段,是否成功以实网为准。
要点
- 分页:
page从 1 起;pageSize默认 20、最大 100。 - 区间入参:
*Min/*Max成对出现(总/周/月销量、总/周/月销售额、评分、评论、粉丝、商品数),组成上游区间。 - 站点:
siteId国家站点 ID,多个逗号分隔(如211=美国、76=英国)。 - 类目:
category后台类目 ID,多个逗号分隔。 - 托管模式:
isLocal(0=全托管,1=半托管,字符串)。 - 开店时间:
listedTimeBegin/listedTimeEnd(YYYY-MM-DD)。 - 排序:
sortBy为「字段-方向」字符串,如order_week_count-0(周销量降序,默认)、order_count-0、total_revenue-0、rating-0。
脚本(可选)
命令行调试:python scripts/ehunt_temu_store_query.py '\x3CJSON>'(需 LINKFOXAGENT_API_KEY)。详见 references/api.md 末尾。
参考
入参/出参表见 references/api.md。
\x3C!-- LF_LARGE_RESPONSE_BLOCK -->
Handling Large Responses
To avoid overflowing the agent context, persist the response to disk and extract only the fields you need:
python scripts/response_io.py run --script scripts/ehunt_temu_store_query.py --out-dir \x3CDIR> '\x3Cparams>'
python scripts/response_io.py read \x3Cfile> --fields "\x3Cpaths>" # or --path "\x3CJMESPath>"
Pick
--out-diroutside any git working tree (e.g./tmp/...on Unix,%TEMP%/...on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done.
run writes the full response to a file and emits only a schema preview + file path. read projects specific fields, with --limit/--offset for slicing and --format json|jsonl|csv|table for output.
When to prefer this pattern — apply your judgment based on the response characteristics, e.g.:
- High field count per record, or fields you don't need
- Batch/paginated results (multiple items per call)
- Long-text fields (descriptions, reviews, HTML, time series)
- Output reused across later steps rather than consumed immediately
For small, single-use responses, calling the main script directly is fine.
⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via read.
\x3C!-- /LF_LARGE_RESPONSE_BLOCK -->
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install linkfox-ehunt-temu-store-query - After installation, invoke the skill by name or use
/linkfox-ehunt-temu-store-query - Provide required inputs per the skill's parameter spec and get structured output
What is Ehunt Temu Store Query?
通过 EHunt Temu 店铺查询(网关路由 `ehunt/temu/storeQuery`)按多维度筛选 Temu 店铺(店名/ID、国家站点、后台类目、全托管/半托管、总/周/月销量与销售额、评分、评论、粉丝、商品数、开店时间等)。当用户提到 EHunt Temu 店铺、Temu 店铺分析、Temu sel... It is an AI Agent Skill for Claude Code / OpenClaw, with 32 downloads so far.
How do I install Ehunt Temu Store Query?
Run "/install linkfox-ehunt-temu-store-query" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ehunt Temu Store Query free?
Yes, Ehunt Temu Store Query is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ehunt Temu Store Query support?
Ehunt Temu Store Query is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ehunt Temu Store Query?
It is built and maintained by linkfox-ai (@linkfox-ai); the current version is v1.0.0.