linkfox-amazon-store-pricing

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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。

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NPX Install

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

Tags

Translated version includes tags in frontmatter

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

官方参考索引

能力文档
getPricinggetPricing
getCompetitivePricinggetCompetitivePricing
getListingOffersgetListingOffers
getItemOffersgetItemOffers
getItemOffersBatchgetItemOffersBatch
getListingOffersBatchgetListingOffersBatch
getFeaturedOfferExpectedPriceBatchgetFeaturedOfferExpectedPriceBatch
getCompetitiveSummarygetCompetitiveSummary

Prerequisites(必须先读)

本 skill 依赖
linkfox-amazon-store-auth
  1. 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
  2. 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
    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

  1. MarketplaceId
    (单数)与 Listings 的
    marketplaceIds
    勿混用。
  2. 先看网关
    errcode
    /
    httpStatus
    ,再解析各脚本对应的解析字段(如
    itemOffers
    itemOffersBatch
    competitiveSummary
    等)。
  3. POST 类接口:
    stdout
    中含
    requestBody
    (脚本组装的 Amazon 请求体),便于排查。
  4. 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。
  5. 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:
references/api.md
skillName
linkfox-amazon-store-pricing

更多跨境 skill:LinkFox Skills
<!-- 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/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
.
<!-- /LF_LARGE_RESPONSE_BLOCK -->