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Tmall Product Reviews

Collect public Tmall reviews for one product SPU and return the original review payload, publish times, and shop context

Original · en-USVolver a la traducción

Desarrollador
super_ig
Precios
Desde 0,03 US$ / 20 registros
Última actualización
2026-10-13

Descripción general

Public Tmall product reviews capture how buyers describe quality, after-sales experience, and the SKU they actually purchased. This Data App turns the public review area of one Tmall product SPU into a consistent set of records covering the original review payload, publish times, shop and category context, and collection timestamps.

The result is built for repeatable reputation analysis instead of scrolling a product page. Each review keeps its source wording inside Comment data and stays linked to the Product SPU, SKU, and shop, so praise and complaints can be compared across collection runs with the same fields.

Data notes

The data covers publicly visible Tmall product reviews for the supplied Product SPU at collection time, stopping at the review cutoff time. Each normal record is identified by its Comment ID, which removes duplicates across collected pages. Private, deleted, and non-public reviews are outside the coverage.

Comment data keeps the original review payload as source text, including buyer nicknames, ratings, photos, and body text when the source supplies them that way. Comment type, Parent ID, and SKU ID are source codes, not rewritten labels. Comment time, Published at, Collected at, Created at, and Updated at preserve the source timestamps without inferring a timezone. Source product SPU 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 review of the selected Tmall product.

Comment IDBusiness IDComment typePublished atCollected atSPU ID
45a19df1788dadb35bc37062c6732310107611807264212026-08-22T16:45:002026-10-13T12:42:521076118072642
7c21b0ae9d4f18c06a5e2b91c8d03417107611807264212026-08-18T11:20:002026-10-13T12:42:521076118072642

Additional values include Comment data, Shop name, Brand name, Category path, and No data.

Use cases

  • Read Comment data to locate quality complaints, then group by Comment type.
  • Compare Published at with Collected at to see how recently the review was captured.
  • Split records by SPU ID and Business ID when comparing more than one collected product.
  • Use No data with Source product SPU to distinguish an empty listing from a failed collection.

Alcance y límites

Each run accepts one Tmall product SPU, a review cutoff time, and a maximum of 1 to 2000 public reviews. Only publicly visible Tmall reviews are covered.

  • Adecuada para
  • When you need public Tmall review payloads, publish times, and shop context for one product SPU
  • When you need category, brand, and collection timestamps for Tmall reputation analysis
  • No usar para
  • When you need reviews from a marketplace other than Tmall
  • When you need real-time monitoring of newly posted reviews instead of one collection snapshot
  • When you need private, deleted, or otherwise non-public reviews

Gestión de fallos

Comportamiento de fallos y reintentos declarado por el desarrollador. Recomendamos incluirlo en tu prompt del sistema al integrar.

  1. 1If no reviews are returned, verify the Product SPU, the review cutoff time, and use No data to distinguish an empty listing from a failed job
  2. 2A partial success still returns the reviews that were completed; submit a new collection after failure or expiry
  3. 3If authentication fails, a task context does not match, or the job times out, check the credential in the execution environment and submit a new collection instead of reusing the old job
  4. 4When the submission outcome is unknown, avoid immediate repeated submissions that could create duplicate tasks

Entrada

Parámetros necesarios para llamar a esta App, generados a partir del input.schema del manifest.json.

  • Product SPUproduct_spuObligatoriostring
    The Tmall product SPU whose public reviews will be collected. Enter one identifier, 1 to 512 characters.
    Ejemplo1071060010572
  • Maximum reviews to collectcomment_countObligatoriostring
    The maximum number of public reviews to collect, from 1 to 2000. The result will not exceed this number and may be lower if the product has fewer reviews before the cutoff time.
    Ejemplo1
  • Review cutoff timecutoff_timeObligatoriostring
    Unix millisecond timestamp as a 10 to 13 digit string. Collection stops after reaching this comment time. This value is required.
    Ejemplo1791789622000

Salida

Estructura de campos de un único registro, generada a partir del output.schema del manifest.json.

  • Source APIapistring
    The source API name carried on the review record
  • Business IDbiz_idstring
    The business identifier linking the review record to the collected product
    Ejemplo1076118072642
  • Brand IDbrand_idstring
    The brand identifier associated with the reviewed product
  • Brand namebrand_namestring
    The brand name associated with the reviewed product

Datos de ejemplo

Generado a partir de output.schema. Los campos sin valor de ejemplo usan marcadores de estructura.

output.example
{
  "api": "<api>",
  "biz_id": "1076118072642",
  "brand_id": "<brand_id>",
  "brand_name": "<brand_name>",
  "cat_id": "<cat_id>",
  "cat_name": "<cat_name>",
  "cat_path": "<cat_path>",
  "comment_data": "{\"auctionSku\": \"净含量:60g[【专攻脂肪粒⭐轻度适用】]\", \"avatar\": \"https://gw.alicdn.com/imgextra/i3/O1CN01YXMxVW1ng5k8sZ6L3_!!6000000005118-0-tps-160-160.jpg_Q75.jpg_.webp\", \"commentTime\": null, \"comment_id\": null, \"comment_text\": null, \"comment_time\": null, \"content\": null, \"days\": null, \"displayUserNick\": \"t***0\", \"fullUserNick\": null, \"id\": \"45a19df1788dadb35bc37062c6732310\", \"likeCount\": \"1\", \"originCommentContent\": null, \"originCommentTime\": null, \"originCommentUser\": null, \"pics\": [\"//img.alicdn.com/imgextra/i3/4611686018427383849/O1CN01HJNU3xUTNeB2I0G4_!!4611686018427383849-0-rate.jpg_40x40.jpg\", \"//img.alicdn.com/imgextra/i2/4611686018427387741/O1CN01JubAws7NS4H2I0G4_!!4611686018427387741-0-rate.jpg_40x40.jpg\"], \"rate\": \"1\", \"rateContent\": \"眼下和眼皮上长了好几颗脂肪粒,化妆的时候卡粉卡得特别厉害,粉底一涂上去就1块1块的,用这个眼霜重点涂了颗粒的位置,每天早晚坚持,大概2周颗粒就小了,摸上去平了很多,化妆也顺畅了,第2盒半价果断又囤了2盒\", \"rateDate\": \"2026-08-22 16:45:00\", \"sku_id\": null, \"videoList\": []}",
  "comment_id": "45a19df1788dadb35bc37062c6732310",
  "comment_time": "2026-08-22T16:45:00",
  "comment_type": "1",
  "crawl_time": "2026-10-13T12:42:52",
  "created_at": "{\"$numberLong\":\"1791866572389\"}",
  "insert_timestamp": "<insert_timestamp>",
  "no_data": false,
  "old_comment_id": "2832491419252369",
  "order_id": "<order_id>",
  "origin_comment_id": "45a19df1788dadb35bc37062c6732310",
  "origin_comment_self_id": "<origin_comment_self_id>",
  "pid": "0",
  "plat": "<plat>",
  "product_title": "<product_title>",
  "publish_time": "2026-08-22T16:45:00",
  "seller_id": "<seller_id>",
  "shop_id": "<shop_id>",
  "shop_name": "<shop_name>",
  "shop_type": "<shop_type>",
  "sign_url": "<sign_url>",
  "sku_id": "<sku_id>",
  "source_product_spu": "1071060010572",
  "spu_id": "1076118072642",
  "updated_at": "{\"$numberLong\":\"1791866640634\"}"
}

Integración

Esta App se puede integrar mediante MCP, API, SDK o exportación de archivos — todos los canales comparten las mismas capacidades y precios. Cada solicitud se autentica con la cabecera Authorization: Bearer usando una API Key (de larga duración, creada en la consola de Data Hub); los clientes MCP también pueden iniciar sesión con OAuth sin clave. Más opciones como CLI y Skill están en camino. Esta App se ejecuta de forma asíncrona y se puede cancelar a mitad de camino: Tras la cancelación, la ejecución se detiene. Los registros ya entregados se conservan y se facturan.

Con MCP (Model Context Protocol) puedes llamar a esta App directamente desde clientes de IA como Claude y Cursor. Elige tu cliente y el modo de autenticación, y copia la configuración de abajo.

Configuración del cliente

Sustituye el valor tras Bearer por tu API Key de larga duración. Funciona en cualquier cliente, CI o entorno sin interfaz.

mcpServers config
{
  "mcpServers": {
    "octoparse_datahub": {
      "type": "http",
      "url": "https://mcp-v2.octoparse.com?pin=super_ig/tmall-comment",
      "headers": { "Authorization": "Bearer <YOUR_API_KEY>" }
    }
  }
}

Deja que la IA lo configure por ti

¿No quieres editar configuraciones a mano? Copia el prompt de instalación y pégalo en cualquier cliente de IA: completará la configuración a su manera. (El prompt le pide a la IA que te solicite tu API Key, de modo que las credenciales nunca queden en el historial de chat ni en configuraciones compartidas.)

detail.access.mcp.composeHint

Precios

Submit one review collection

Se cobra una vez por cada ejecución enviada, independientemente del número de registros devueltos.

0,0001 US$/ ejecución
Return 20 review

Se cobra según el número de registros devueltos correctamente. Las ejecuciones fallidas no se cobran. Se factura en unidades de 20 registros; cualquier unidad parcial se redondea a 20 registros.

0,03 US$/ 20 registros

Los distintos eventos de facturación se acumulan de forma independiente. Consulta cada elemento para más detalles. Las ejecuciones fallidas no se cobran.

Ver créditos

Pruébalo ahora

Rellena los parámetros y ejecuta — los resultados provienen de una llamada real.

Ejemplo
Los parámetros se validan contra input.schema antes del envío
Desde 0,03 US$ / 20 registros