TikTok Shop Product Reviews

Submit a TikTok Shop US product ID or SPU and a review cap, then receive public reviews with ratings, SKU details, and reviewer info

Original · en-USZur Übersetzung

Datenerfassung E-commerce & Retail TikTok Reviews & Ratings

Übersicht

Public TikTok Shop US reviews capture how buyers describe fit, quality, and the SKU they actually purchased. This Data App turns the public review area of one US listing into a consistent set of records covering review text, ratings, SKU details, reviewer identity, and collection timestamps.

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 Product ID, SPU ID, and SKU spec, so praise and complaints can be compared across sizes and collection runs with the same fields.

Data notes

The data covers publicly visible TikTok Shop US reviews for one Product ID / SPU at collection time. Results arrive in collection-time order, and each normal record is identified by its Comment ID. Non-US marketplaces, private feedback, order records, and buyer contact details are outside the coverage.

Rating, Product rating, SKU spec, User name, and flags such as Anonymous or Edited are snapshots and may change after collection. Avatar list, Image list, and Like count are retained as source text where the source supplies them that way. Published at, Collected at, Created at, and Updated at keep the source timestamps without inferring a timezone. Query product 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 TikTok Shop US product.

Comment ID	Review text	Rating	User name	SKU spec	Published at
7634602945472333582	So I bought the zoom regular shoes last year, but they are too soft too spongy when you’re just walking around these are just right! Wide toe box Support you need support soft where you need it soft! I owned just about every air max and this is the best I’ve felt on my feet! Can’t say enough	5	Os Hs	US M 13	2026-05-01T01:18:51
7646028688848471821	Best Nike out	5	b**d	US M 11	2026-05-31T20:16:30
7661519510674917133	Great shoe great quality. I love it.	5	S**4	US M 10	2026-07-12T14:08:54

Additional values include Product ID, SPU ID, SKU ID, Avatar list, Image list, and No data.

Use cases

Split reviews by Rating, then read Review text to locate low-score issues.
Group Review text by SKU spec to separate size-specific experience.
Compare User name with Anonymous and Review text when judging how much weight to give a review.
Count Comment ID by Published at to see how the mix of feedback changed over time.

Anwendungsbereich & Grenzen

Each job accepts 1 TikTok Shop product ID or SPU and collects at most 4500 public reviews. Coverage is limited to the US marketplace. Fetch protection covers 225 pages / 4500 records.

Geeignet für
When you need public review text, ratings, and publish times for one TikTok Shop US product
When you need SKU details, reviewer names, and collection timestamps for reputation analysis

Nicht verwenden für
When you need TikTok Shop reviews from a marketplace other than the US
When you need real-time monitoring of newly posted reviews instead of one collection snapshot
When you need orders, buyer contact details, or other non-public shop data

Fehlerbehandlung

Vom Autor deklariertes Fehler- und Wiederholungsverhalten. Wir empfehlen, es bei der Integration in Ihren System-Prompt aufzunehmen.

1If no reviews are returned, verify the product ID or SPU and use No data to distinguish an empty listing from a failed job
2A partial success still returns the reviews that were completed; submit a new collection after failure or expiry
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

Eingabe

Parameter, die zum Aufruf dieser App erforderlich sind, generiert aus dem input.schema in der manifest.json.

Feld	Fachlicher Name	Typ	Erforderlich	Standard	Enum / Einschränkungen	Beispiel	Beschreibung
product_item	Product ID / SPU	string	Ja	—	—	1732075599219691674	The TikTok Shop product ID or SPU whose public US reviews will be collected. Enter one identifier, 1 to 512 characters.
crawl_count	Maximum reviews to collect	string	Ja	—	—	10	The maximum number of public reviews to collect, from 1 to 4500. The result will not exceed this number and may be lower if the product has fewer reviews.

Ausgabe

Feldstruktur eines einzelnen Datensatzes, generiert aus dem output.schema in der manifest.json.

Feld	Fachlicher Name	Typ	Beispiel	Beschreibung
avatar_url_list	Avatar list	string	["https://p16-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/7b7cc85e68a43794946269620078f2ac~tplv-tiktokx-cropcenter:100:100.jpg?dr=9640&refresh_token=b3f5fbe0&x-expires=1789545600&x-signature=jtdzYiVEWHbBH%2FlrOMkcxiRjLfU%3D&t=4d5b0474&ps=13740610&shp=a5d48078&shcp=5f8d3399&idc=useast5"]	Reviewer avatar URLs retained as source text, often a JSON list string.
biz_id	Business ID	string	1732075599219691674	Business identifier associated with this review.
comment_id	Comment ID	string	7634602945472333582	Unique identifier of this product review.
comment_source_name	Source name	string	—	Name of the review source when the source supplies it.
comment_source_type	Source type	string	—	Type of the review source when the source supplies it.
comment_text	Review text	string	So I bought the zoom regular shoes last year, but they are too soft too spongy when you’re just walking around these are just right! Wide toe box Support you need support soft where you need it soft! I owned just about every air max and this is the best I’ve felt on my feet! Can’t say enough	Public review body written by the buyer.
comment_time_text	Review time text	string	—	Review time as display text when the source supplies it.
comment_type	Review type	string	1	Review type code returned as source text.
comment_url	Review URL	string	—	Link to this review when the source supplies it.
crawl_time	Collected at	string	2026-09-14T16:19:49	Collection timestamp returned by the source, without an inferred timezone.
created_at	Created at	string	1789373989528	Record created timestamp retained as source text.
image_url_list	Image list	string	[]	Review image URLs retained as source text, often a JSON list string.
is_anonymous	Anonymous	boolean	false	Whether the reviewer is marked anonymous.
is_digged	Liked	boolean	false	Whether this review is marked as liked.
is_owner	Seller review	boolean	false	Whether this review is marked as posted by the seller.
is_updated	Edited	boolean	false	Whether this review is marked as edited.
item_id	Item ID	string	1732075599219691674	Item identifier associated with this review.
like_count	Like count	string	—	Like count for this review, retained as source text.
parent_comment_id	Parent comment ID	string	—	Parent review identifier when this row is a reply.
product_id	Product ID	string	1732075599219691674	Product identifier associated with this review.
product_rating	Product rating	string	5	Product rating value returned with this review, as source text.
publish_time	Published at	string	2026-05-01T01:18:51	Review publish timestamp returned by the source, without an inferred timezone.
rating_score	Rating	string	5	Star rating attached to this review, as source text.
ratings_url	Ratings URL	string	—	Link to the ratings page when the source supplies it.
sku_id	SKU ID	string	1732075635013226650	SKU identifier the reviewer purchased.
sku_specification	SKU spec	string	US M 13	SKU specification text such as size.
spu_id	SPU ID	string	1732075599219691674	SPU identifier associated with this review.
task_item	Query product	string	1732075599219691674	Product ID or SPU this collection row is associated with.
no_data	No data	boolean	false	Whether this row is a no-result marker instead of a normal review.
updated_at	Updated at	string	1789373989851	Record updated timestamp retained as source text.
user_id	User ID	string	7435352589535626286	Reviewer user identifier.
user_name	User name	string	Os Hs	Reviewer display name, which may be masked.
user_profile_url	Profile URL	string	—	Reviewer profile link when the source supplies it.

Datensatz-Schema

Die Ausgabe wird Datensatz für Datensatz zurückgegeben. detail.output.idFieldHint

output.schema

{
  "type": "object",
  "properties": {
    "avatar_url_list": {
      "type": "string",
      "title": "Avatar list",
      "description": "Reviewer avatar URLs retained as source text, often a JSON list string.",
      "prefill": "[\"https://p16-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/7b7cc85e68a43794946269620078f2ac~tplv-tiktokx-cropcenter:100:100.jpg?dr=9640&refresh_token=b3f5fbe0&x-expires=1789545600&x-signature=jtdzYiVEWHbBH%2FlrOMkcxiRjLfU%3D&t=4d5b0474&ps=13740610&shp=a5d48078&shcp=5f8d3399&idc=useast5\"]"
    },
    "biz_id": {
      "type": "string",
      "title": "Business ID",
      "description": "Business identifier associated with this review.",
      "prefill": "1732075599219691674"
    },
    "comment_id": {
      "type": "string",
      "title": "Comment ID",
      "description": "Unique identifier of this product review.",
      "prefill": "7634602945472333582"
    },
    "comment_source_name": {
      "type": "string",
      "title": "Source name",
      "description": "Name of the review source when the source supplies it."
    },
    "comment_source_type": {
      "type": "string",
      "title": "Source type",
      "description": "Type of the review source when the source supplies it."
    },
    "comment_text": {
      "type": "string",
      "title": "Review text",
      "description": "Public review body written by the buyer.",
      "prefill": "So I bought the zoom regular shoes last year, but they are too soft too spongy when you’re just walking around these are just right! Wide toe box Support you need support soft where you need it soft! I owned just about every air max and this is the best I’ve felt on my feet! Can’t say enough"
    },
    "comment_time_text": {
      "type": "string",
      "title": "Review time text",
      "description": "Review time as display text when the source supplies it."
    },
    "comment_type": {
      "type": "string",
      "title": "Review type",
      "description": "Review type code returned as source text.",
      "prefill": "1"
    },
    "comment_url": {
      "type": "string",
      "title": "Review URL",
      "description": "Link to this review when the source supplies it."
    },
    "crawl_time": {
      "type": "string",
      "title": "Collected at",
      "description": "Collection timestamp returned by the source, without an inferred timezone.",
      "prefill": "2026-09-14T16:19:49"
    },
    "created_at": {
      "type": "string",
      "title": "Created at",
      "description": "Record created timestamp retained as source text.",
      "prefill": "1789373989528"
    },
    "image_url_list": {
      "type": "string",
      "title": "Image list",
      "description": "Review image URLs retained as source text, often a JSON list string.",
      "prefill": "[]"
    },
    "is_anonymous": {
      "type": "boolean",
      "title": "Anonymous",
      "description": "Whether the reviewer is marked anonymous.",
      "prefill": false
    },
    "is_digged": {
      "type": "boolean",
      "title": "Liked",
      "description": "Whether this review is marked as liked.",
      "prefill": false
    },
    "is_owner": {
      "type": "boolean",
      "title": "Seller review",
      "description": "Whether this review is marked as posted by the seller.",
      "prefill": false
    },
    "is_updated": {
      "type": "boolean",
      "title": "Edited",
      "description": "Whether this review is marked as edited.",
      "prefill": false
    },
    "item_id": {
      "type": "string",
      "title": "Item ID",
      "description": "Item identifier associated with this review.",
      "prefill": "1732075599219691674"
    },
    "like_count": {
      "type": "string",
      "title": "Like count",
      "description": "Like count for this review, retained as source text."
    },
    "parent_comment_id": {
      "type": "string",
      "title": "Parent comment ID",
      "description": "Parent review identifier when this row is a reply."
    },
    "product_id": {
      "type": "string",
      "title": "Product ID",
      "description": "Product identifier associated with this review.",
      "prefill": "1732075599219691674"
    },
    "product_rating": {
      "type": "string",
      "title": "Product rating",
      "description": "Product rating value returned with this review, as source text.",
      "prefill": "5"
    },
    "publish_time": {
      "type": "string",
      "title": "Published at",
      "description": "Review publish timestamp returned by the source, without an inferred timezone.",
      "prefill": "2026-05-01T01:18:51"
    },
    "rating_score": {
      "type": "string",
      "title": "Rating",
      "description": "Star rating attached to this review, as source text.",
      "prefill": "5"
    },
    "ratings_url": {
      "type": "string",
      "title": "Ratings URL",
      "description": "Link to the ratings page when the source supplies it."
    },
    "sku_id": {
      "type": "string",
      "title": "SKU ID",
      "description": "SKU identifier the reviewer purchased.",
      "prefill": "1732075635013226650"
    },
    "sku_specification": {
      "type": "string",
      "title": "SKU spec",
      "description": "SKU specification text such as size.",
      "prefill": "US M 13"
    },
    "spu_id": {
      "type": "string",
      "title": "SPU ID",
      "description": "SPU identifier associated with this review.",
      "prefill": "1732075599219691674"
    },
    "task_item": {
      "type": "string",
      "title": "Query product",
      "description": "Product ID or SPU this collection row is associated with.",
      "prefill": "1732075599219691674"
    },
    "no_data": {
      "type": "boolean",
      "title": "No data",
      "description": "Whether this row is a no-result marker instead of a normal review.",
      "prefill": false
    },
    "updated_at": {
      "type": "string",
      "title": "Updated at",
      "description": "Record updated timestamp retained as source text.",
      "prefill": "1789373989851"
    },
    "user_id": {
      "type": "string",
      "title": "User ID",
      "description": "Reviewer user identifier.",
      "prefill": "7435352589535626286"
    },
    "user_name": {
      "type": "string",
      "title": "User name",
      "description": "Reviewer display name, which may be masked.",
      "prefill": "O**s H**s"
    },
    "user_profile_url": {
      "type": "string",
      "title": "Profile URL",
      "description": "Reviewer profile link when the source supplies it."
    }
  },
  "required": [],
  "additionalProperties": false
}

Integration

Diese App kann über MCP, API, SDK oder Dateiexport integriert werden — alle Kanäle teilen sich dieselben Fähigkeiten und Preise. Jede Anfrage authentifiziert sich über den Authorization: Bearer-Header mit einem API Key (langlebig, in der Data Hub Konsole erstellt); MCP-Clients können sich zusätzlich per OAuth ohne Key anmelden. Weitere Optionen wie CLI und Skill sind in Vorbereitung.

Über das MCP (Model Context Protocol) können Sie diese App direkt aus KI-Clients wie Claude und Cursor aufrufen. Wählen Sie Ihren Client und den Authentifizierungsmodus und kopieren Sie dann die Konfiguration unten.

Client-Konfiguration

Ersetzen Sie den Wert nach Bearer durch Ihren langlebigen API Key. Funktioniert in jedem Client, in CI und in Headless-Umgebungen.

mcpServers config

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

Meine API Keys anzeigen →

Lassen Sie die KI die Einrichtung übernehmen

Sie möchten Konfigurationen nicht von Hand bearbeiten? Kopieren Sie den Installations-Prompt und fügen Sie ihn in einen beliebigen KI-Client ein — er schließt die Einrichtung auf seine eigene Weise ab. (Der Prompt weist die KI an, Ihren API Key bei Ihnen zu erfragen, damit Zugangsdaten nie im Chatverlauf oder in geteilten Konfigurationen landen.)

detail.access.mcp.composeHint

Preise

per 30 reviews

Berechnet nach der Anzahl der erfolgreich zurückgegebenen Datensätze. Fehlgeschlagene Läufe werden nicht berechnet. Abgerechnet in Einheiten von 30 Datensatz; jede angefangene Einheit wird auf 30 Datensatz aufgerundet.

0,005 $/ 30 Datensatz

Per task submitted

Wird pro übermitteltem Lauf einmal berechnet, unabhängig davon, wie viele Datensätze zurückgegeben werden.

0,0001 $/ Lauf

Mehrere Abrechnungsereignisse werden unabhängig voneinander kumuliert. Details siehe jeweilige Position. Fehlgeschlagene Läufe werden nicht berechnet.

Credits ansehen

Jetzt ausprobieren

Füllen Sie die Parameter aus und starten Sie — die Ergebnisse stammen aus einem echten Aufruf.

Beispiel

Parameter werden vor dem Absenden gegen input.schema validiert

Product ID / SPUproduct_item*The TikTok Shop product ID or SPU whose public US reviews will be collected. Enter one identifier, 1 to 512 characters.

Maximum reviews to collectcrawl_count*The maximum number of public reviews to collect, from 1 to 4500. The result will not exceed this number and may be lower if the product has fewer reviews.

Bitte füllen Sie zuerst die Pflichtparameter aus

Ab 0,005 $ / 30 Datensatz