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Target Product Reviews

Give one Target product SKU, an expected review count, and a sort order to receive public reviews, ratings, reviewer details, and posted times

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データ収集E-commerce & RetailGeneral WebReviews & Ratings
開発者
super_ig
料金
$0.005 / 6 件から
最終更新
2026-10-12

概要

Public Target product reviews capture how shoppers describe quality, fit, defects, and whether they would buy again. This Data App turns the public review area of one Target product into a consistent set of records covering review titles, body text, star ratings, reviewer names, media links, product identifiers, and posted times.

The result is built for repeatable reputation analysis instead of scrolling a product page. Each review keeps its original wording and stays linked to the Target product SKU and product URL, so praise and complaints can be compared across products and collection runs with the same fields.

Data notes

The data covers publicly visible Target product reviews for the supplied product SKU at collection time, returned in the selected sort order. Each normal record is identified by its Comment ID, which removes duplicates across collected pages. Deleted, collapsed, and login-only reviews are outside the coverage.

Rating is the integer star score on the review. Posted at has no timezone offset; Posted at text keeps the source offset, often +08:00, and should not be treated as a confirmed shopper-local time. Product title, price, main image, and similar product facts may be empty on some reviews even when the review itself is valid. Image URLs and Video URLs are stored as source text, often a JSON list of links. Source item and No data retain the collection outcome when a product has no public review result.

What the results look like

Each normal record represents one publicly visible product review of the selected Target product.

Review titleReview textRatingReviewer namePosted atSource item
Not as good as myNot as good as my first pair I had. Volume not as good. No low end.3DENNIS T.2026-09-15T02:19:1094692133
Great stuffWorks great for running and just wearing around the house if you want to listen to something. No complaints about mic quality so far either.5Michael L.2026-09-15T00:40:5294692133

Additional values include Comment ID, Product URL, Image URLs, and No data.

Use cases

  • Split reviews by Rating, then read Review title and Review text to locate low-score issues.
  • Use Image URLs and Video URLs to find reviews that include media.
  • Align reviews back to a product with Source item, SKU ID, and Product URL.
  • Count reviews by Posted at or Posted at text to see how the mix of feedback changed over time.

適用範囲と境界

Each run accepts one Target product SKU and an expected review count. Results are returned and billed in complete batches of 6, so the actual count may be rounded up. Retrieval protection is 100 pages of 20 reviews. Only publicly visible Target product reviews are covered.

  • 適している用途
  • When you need public review titles, body text, and star ratings for one Target product SKU
  • When you need reviewer names, review media, product identifiers, and posted times for reputation analysis
  • 適さない用途
  • When you need reviews from more than one product in a single run — submit a separate run for each SKU
  • When you need deleted, collapsed, or login-only Target reviews
  • When you need a live stream of newly posted reviews — this app returns one collection snapshot

失敗時の処理

開発者が宣言した失敗時と再試行の動作です。連携時にはシステムプロンプトに含めることをおすすめします。

  1. 1If no reviews are returned, verify the product SKU and confirm that the reviews are publicly visible
  2. 2A partial success returns the reviews that were completed; the actual count may still differ from the expected value after batch rounding
  3. 3Retry later after rate limiting, temporary service unavailability, or a timeout
  4. 4If authentication fails, verify the API Key configured for the execution environment
  5. 5If the task context does not match or the task has expired, submit a new collection instead of retrying the same task

入力

この App の呼び出しに必要なパラメータで、manifest.json の input.schema から生成されています。

  • Target product SKUsku必須string
    The Target product SKU whose public reviews should be collected. Enter one SKU of at most 512 characters, such as 94692133.
    例94692133
  • Expected review countexpected_count必須string
    The expected number of reviews to collect. Results are returned and billed in complete batches of 6, so the actual count may be rounded up, and fewer than 6 reviews still count as one batch. Larger values take longer and cost more.
    例2
  • Review sort orderorder_type必須string(enum)
    How the collected reviews are ordered: 0 default, 4 newest, 9 most helpful, 11 highest rating, 12 lowest rating.
    選択可能な値Default0Newest4Most helpful9Highest rating11Lowest rating12例4

出力

1 件のレコードのフィールド構造で、manifest.json の output.schema から生成されています。

  • Comment IDcomment_idstring
    Stable identifier of this Target product review; empty when the source does not provide one.
    例90cc93b7-f1aa-4b7d-9431-097a04e7f234
  • Comment paramscomment_paramsstring
    Extra review parameters retained as source text; empty when the source does not provide them.
    例{}
  • Review textcomment_textstring
    Full public review body in the original wording; empty when the source does not provide it.
    例Not as good as my first pair I had. Volume not as good. No low end.
  • Review titlecomment_titlestring
    Public review title shown with the review; empty when the source does not provide it.
    例Not as good as my

サンプルデータ

output.schema から生成したサンプルです。サンプル値のないフィールドには構造上のプレースホルダーを使用しています。

output.example
{
  "comment_id": "90cc93b7-f1aa-4b7d-9431-097a04e7f234",
  "comment_params": "{}",
  "comment_text": "Not as good as my first pair I had. Volume not as good. No low end.",
  "comment_title": "Not as good as my",
  "comment_type": "1",
  "image_urls": "[]",
  "is_recommended": false,
  "item_main_pic_url": "<item_main_pic_url>",
  "item_price_text": "<item_price_text>",
  "item_sale_specs": "<item_sale_specs>",
  "item_score_text": "<item_score_text>",
  "item_title": "<item_title>",
  "item_url": "https://www.target.com/p/-/A-94692133",
  "origin_comment_id": "90cc93b7-f1aa-4b7d-9431-097a04e7f234",
  "parent_comment_id": "0",
  "platform_code": "target",
  "publish_time": "2026-09-15T02:19:10",
  "publish_time_text": "2026-09-15T02:19:10+08:00",
  "rating_score": 3,
  "reviewer_avatar_url": "<reviewer_avatar_url>",
  "reviewer_id": "<reviewer_id>",
  "reviewer_location": "<reviewer_location>",
  "reviewer_name": "DENNIS T.",
  "shop_id": "<shop_id>",
  "shop_name": "<shop_name>",
  "sku_id": "94692133",
  "spu_id": "94692133",
  "user_extra_info": "{}",
  "verified_text": "<verified_text>",
  "video_urls": "[]",
  "task_item": "94692133",
  "no_data": false
}

連携方法

この App は MCP、API、SDK、ファイルエクスポートのいずれでも連携でき、どのチャネルも同じ能力と料金を共有します。すべてのリクエストは Authorization: Bearer ヘッダーで認証し、認証情報には API Key（長期有効。Data Hub コンソールで作成）を使用します。MCP クライアントは OAuth によるキー不要のログインにも対応しています。CLI や Skill など、さらに多くの連携方法も準備中です。 この App は非同期で実行され、途中でキャンセルできます：キャンセル後、実行は停止します。納品済みのレコードは保持され、課金対象になります。

MCP（Model Context Protocol）を使うと、Claude や Cursor などの AI クライアントからこの App を直接呼び出せます。クライアントと認証方式を選び、下の設定をコピーしてください。

クライアント設定

Bearer の後の値を長期有効な API Key に置き換えてください。あらゆるクライアント、CI、ヘッドレス環境で利用できます。

mcpServers config
{
  "mcpServers": {
    "octoparse_datahub": {
      "type": "http",
      "url": "https://mcp-v2.octoparse.com?pin=super_ig/target-comment",
      "headers": { "Authorization": "Bearer <YOUR_API_KEY>" }
    }
  }
}
自分の API Keys を表示 →

AI に設定を任せる

設定を手作業で編集したくない場合は、インストールプロンプトをコピーして任意の AI クライアントに貼り付けてください。AI が自分のやり方でセットアップを完了します（プロンプトは AI があなたに API Key を尋ねる形になっているため、認証情報がチャット履歴や共有設定に残りません）。

detail.access.mcp.composeHint

料金

6 returned reviews

正常に返されたレコードの件数に応じて課金されます。失敗した実行には課金されません。 6 件を 1 つの課金単位とし、端数は 6 件に切り上げて課金されます。

$0.005/ 6 件
Per task submitted

返される件数にかかわらず、実行の送信 1 回ごとに課金されます。

$0.0001/ 回

複数の課金イベントはそれぞれ独立して累計されます。詳細は各項目をご覧ください。失敗した実行には課金されません。

Credits を確認

今すぐ試す

パラメータを入力して実行してください。結果は実際の呼び出しによるものです。

サンプル
パラメータは送信前に input.schema で検証されます
$0.005 / 6 件から