Ecommerce Product Reviews API — TikTok Shop Review Retrieval: AI大規模言語モデル

Retrieve public marketplace product reviews by item ID on MuAPI, where the upstream source supports review text and pagination. Retrieve public reviews for a marketplace product, where the upstream source supports review text/pagination. Currently supported for tiktokshop only.

Interactive model controls

Retrieve public reviews for a marketplace product, where the upstream source supports review text/pagination. Currently supported for tiktok_shop only.

📝

概要

このモデルについて

Ecommerce Product Reviews returns public review rows (author, rating, text, date) for a marketplace product. Currently supported for TikTok Shop; Amazon has no verified dedicated review endpoint yet and returns an explicit unsupported response rather than fabricated data.

1Voice-of-customer and review-theme analysis for a competitor product
2Feed a review-sentiment or listing-gap report
💰

料金と価値

コスト分析

muapiapp開始価格: $0.10 照会1回あたり (reserved; settled down to actual cost)

Normalized, structured JSON response via MuAPI's routed marketplace data capability.

** 競合サービスの料金は類似のモデル構成および利用ティアに基づいて算出された推定値です。

⚙️

技術詳細

設定スキーマ

MarketplaceEnum(2個の選択肢)

Marketplace the product belongs to.

デフォルト値-
Item IDstring

ASIN for amazon, product ID for tiktok_shop.

デフォルト値-
Limitinteger

Max reviews to return (1-100).

デフォルト値20
Cursorstring

Pagination cursor from a previous response.

デフォルト値-
📖

実装ガイド

開発者ドキュメント

How to Use ecommerce-product-reviews

  1. Choose a marketplace: currently tiktok_shop only.
  2. Provide the item ID: item_id, plus optional limit/cursor for pagination.
  3. Read the result: review rows with author, rating, text, date.
curl -X POST https://api.muapi.ai/api/v1/ecommerce-product-reviews \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{\n    "marketplace": "tiktok_shop",\n    "item_id": "1234567890"\n  }'
❓

よくある質問

FAQ

Why does amazon return an error?

MuAPI has not yet verified a dedicated Amazon review endpoint with real review text and pagination — rather than return incomplete or fabricated data, the request returns an explicit unsupported response.