linkfox-amazon-store-pricing

Original：🇺🇸 English

Translated

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亚马逊店铺商品定价（与 linkfox-amazon-store-auth / linkfox-amazon-store-report / linkfox-amazon-store-listings 同系列），经 /spApi/developerProxy 调用 SP-API Product Pricing：v0 的 getPricing、getCompetitivePricing、getListingOffers、getItemOffers、getItemOffersBatch、getListingOffersBatch；2022-05-01 的 getFeaturedOfferExpectedPriceBatch、getCompetitiveSummary。含 ASIN/SKU 单条与批量、FOEP、竞争摘要。当用户提到亚马逊定价、比价、低价报价、listing/item offers、batch pricing、FOEP、featured offer、competitive summary、Product Pricing、SP-API 价格时触发。

13installs

Sourcelinkfox-ai/linkfox-skills

Added on2026-07-04

NPX Install

npx skill4agent add linkfox-ai/linkfox-skills linkfox-amazon-store-pricing

SKILL.md Content

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Amazon 店铺 Product Pricing

本 skill 与 linkfox-amazon-store-auth
、linkfox-amazon-store-report
、linkfox-amazon-store-listings
同属 Amazon Store 系列：先 POST /spApi/storeTokens
取

accessToken

，再 POST /spApi/developerProxy
转发上游 GET 或 POST（与 listings 的 PUT/PATCH 代理方式一致）。

官方参考索引

能力	文档
getPricing	getPricing
getCompetitivePricing	getCompetitivePricing
getListingOffers	getListingOffers
getItemOffers	getItemOffers
getItemOffersBatch	getItemOffersBatch
getListingOffersBatch	getListingOffersBatch
getFeaturedOfferExpectedPriceBatch	getFeaturedOfferExpectedPriceBatch
getCompetitiveSummary	getCompetitiveSummary

Prerequisites（必须先读）

本 skill 依赖 linkfox-amazon-store-auth
。

运行

python scripts/check_auth_dependency.py

；若 exit code 42 且 stderr 含

DEPENDENCY_MISSING:

，请先安装 linkfox-amazon-store-auth
。

不要在本 skill 内绕过依赖实现授权或令牌逻辑。

Current Capabilities（脚本一览）

能力	developerProxy `path` （要点）	脚本
getPricing	`products/pricing/v0/price` + Query	`get_pricing.py`
getCompetitivePricing	`products/pricing/v0/competitivePrice` + Query	`get_competitive_pricing.py`
getListingOffers	`products/pricing/v0/listings/{sku}/offers` + Query	`get_listing_offers.py`
getItemOffers	`products/pricing/v0/items/{asin}/offers` + Query	`get_item_offers.py`
getItemOffersBatch	`batches/products/pricing/v0/itemOffers` ，POST JSON body	`post_item_offers_batch.py`
getListingOffersBatch	`batches/products/pricing/v0/listingOffers` ，POST JSON body	`post_listing_offers_batch.py`
getFeaturedOfferExpectedPriceBatch	`batches/products/pricing/2022-05-01/offer/featuredOfferExpectedPrice` ，POST	`post_featured_offer_expected_price_batch.py`
getCompetitiveSummary	`batches/products/pricing/2022-05-01/items/competitiveSummary` ，POST	`post_competitive_summary_batch.py`

批量脚本（

post_*_batch.py

）在默认模式下会按 Amazon 要求组装子请求；高级用法可设 useAmazonRequestShape
: true，直接传 requests
为官方原始数组（仍受条数上限约束）。共享逻辑见 scripts/_spapi_pricing_common.py
（仅供同目录脚本 import，非独立 CLI）。

Quick Parameters（摘要）

getPricing / getCompetitivePricing：
```
sellerId
```
、
```
region
```
、
```
marketplaceId
```
（或
```
marketplaceIds
```
取首）、
```
itemType
```
、
```
asins
```
或
```
skus
```
（≤20）；getPricing 另有
```
itemCondition
```
、
```
offerType
```
；getCompetitivePricing 另有
```
customerType
```
。
getListingOffers / getItemOffers：
```
sku
```
+path 或 asin
+path；itemCondition
必填；可选
```
customerType
```
。
Item / Listing Offers Batch：
```
requests
```
数组，默认每项为简化对象（见
```
references/api.md
```
）；1～20 条（FOEP 批量脚本为 最多 40 条）。
getCompetitiveSummary 批量：每项需 asin
、marketplaceId
、includedData
（非空字符串数组）；可选 lowestPricedOffersInputs
。
getFeaturedOfferExpectedPriceBatch：每项需 marketplaceId
、sku
、segment
（对象，结构以官方为准）。

Scripts

get_pricing.py

·

get_competitive_pricing.py

·

get_listing_offers.py

·

get_item_offers.py

post_item_offers_batch.py

·

post_listing_offers_batch.py

·

post_featured_offer_expected_price_batch.py

·

post_competitive_summary_batch.py

check_auth_dependency.py

·

_spapi_pricing_common.py

（内部模块）

bash

export LINKFOXAGENT_API_KEY="<your-key>"

python scripts/get_item_offers.py '{"sellerId":"A1...","region":"NA","asin":"B0...","marketplaceId":"ATVPDKIKX0DER","itemCondition":"New"}'

python scripts/post_item_offers_batch.py '{"sellerId":"A1...","region":"NA","requests":[{"asin":"B0...","marketplaceId":"ATVPDKIKX0DER","itemCondition":"New"}]}'

Display Rules

MarketplaceId
（单数）与 Listings 的
```
marketplaceIds
```
勿混用。
先看网关 errcode
/
httpStatus
，再解析各脚本对应的解析字段（如 itemOffers
、itemOffersBatch
、competitiveSummary
等）。
POST 类接口：
```
stdout
```
中含 requestBody
（脚本组装的 Amazon 请求体），便于排查。
白名单：除
```
products/pricing/...
```
外，批量路径以 batches/products/pricing/...
开头；1005 时需后端放行对应前缀。
各接口 Usage plan 不同（尤其 2022-05-01 批量约 0.033 req/s），注意 429。

Important Limitations

权限：Product Pricing 及相关角色；部分 2022-05-01 能力可能另有应用内配置要求，以 Amazon 为准。
FOEP 批量：
```
segment
```
须符合官方模型；条数上限脚本按 40 校验（与文档「up to 40」一致）。
返回结构以 Amazon schema 为准；详见 references/api.md
。

Feedback： 见

references/api.md

，

skillName

：

linkfox-amazon-store-pricing

。

更多跨境 skill：LinkFox Skills

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/check_auth_dependency.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # or --path "<JMESPath>"

Pick
--out-dir
outside 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.

This skill exposes multiple entry scripts:

check_auth_dependency.py

,

get_competitive_pricing.py

,

get_item_offers.py

,

get_listing_offers.py

,

get_pricing.py

,

post_competitive_summary_batch.py

,

post_featured_offer_expected_price_batch.py

,

post_item_offers_batch.py

,

post_listing_offers_batch.py

. Pass

--script scripts/<name>.py

to choose the one you need.

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

.