TikTok Video Comments
Give one TikTok content ID and an expected comment count to receive public comments, authors, engagement, and publish times
Original · en-USZur Übersetzung
Übersicht
Public comments on a TikTok video show how viewers react in their own words, which remarks attract replies, and whether the creator likes or pins a comment. This Data App turns the public comment area of one video into a consistent dataset with comment text, author details, reply relationships, engagement snapshots, and timestamps.
The result is suited to repeatable analysis rather than manual scrolling. It keeps the original comment wording and connects each comment to its video, author, parent comment, and root comment, making it easier to compare reactions, identify recurring themes, and inspect conversations around a video.
Data notes
The data covers comments that are publicly visible on the supplied TikTok video at collection time. Each normal record is identified by its Comment ID, which is used to remove duplicates. Private, deleted, and closed-comment videos are outside the coverage.
Like count, Reply count, Liked by author, and Pinned by author are snapshots and may change after collection. Count values, classification values such as Comment type, and mention fields are retained as source text rather than converted into numbers or lists. Published at and Collected at preserve the source timestamps without inferring a timezone. Keyword, Business ID, Content ID, and Source item may repeat the submitted content ID when that is what the source record carries. Image URLs is empty when the comment has no image. Parent comment ID is usually 0 for a top-level comment. No data retains the collection outcome when a video has no public comment result.
What the results look like
Each normal record represents one publicly visible comment from the selected TikTok video.
| Comment ID | Comment text | Author name | Published at | Like count | Reply count |
|---|---|---|---|---|---|
| 7676928910512587528 | 🔥🔥🔥 | LOR3NZO 🥵 | 2026-08-23T02:45:14 | 1 | 0 |
| 7676937550266663696 | Hi | F00tba11EDITS | 2026-08-23T03:18:57 | 0 | 0 |
Additional values include avatar and author identifiers, reply relationships, creator interaction flags, collection timestamps, mention text, and the no-data outcome.
Use cases
- Compare Comment text with Like count and Reply count to identify remarks that generated stronger visible engagement.
- Group Comment text by recurring phrases, then use Published at to see how the discussion changed over time.
- Reconstruct reply threads with Parent comment ID, Root comment ID, and Comment type to distinguish top-level remarks from follow-up replies.
- Review Liked by author and Pinned by author together with Author ID to see how the creator participated in the discussion.
Anwendungsbereich & Grenzen
Each run collects comments from one TikTok video. The expected comment count is 1 to 10000. Results are returned in complete batches of 20, so the actual count may be rounded up. Only publicly visible comments at collection time are covered.
- Geeignet für
- When you need public comment text and engagement details from a specific TikTok video
- When you need comment authors, reply relationships, timestamps, and creator interaction signals for analysis
- Nicht verwenden für
- When you need comments from more than one video in a single run — submit a separate run for each video
- When you need private, deleted, or closed-comment data — this App covers publicly visible comments only
Fehlerbehandlung
Vom Autor deklariertes Fehler- und Wiederholungsverhalten. Wir empfehlen, es bei der Integration in Ihren System-Prompt aufzunehmen.
- 1If no comments are returned, verify the content ID and confirm that the video and its comments are publicly visible
- 2Retry later after rate limiting, temporary service unavailability, or a timeout
- 3When the submission outcome is unknown, avoid immediate repeated submissions that could create duplicate tasks
- 4If authentication fails, verify the API Key configured for the execution environment
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 |
|---|---|---|---|---|---|---|---|
| content_id | Content ID | string | Ja | — | — | 7676927940759653650 | The numeric ID of the public TikTok video whose comments will be collected. Enter one content ID only, not a keyword or URL. |
| comment_count | Expected comment count | integer | Ja | — | 1–10000 | 20 | The expected number of comments to collect, from 1 to 10000. Results are returned and billed in complete batches of 20, so the actual count may be rounded up. |
Ausgabe
Feldstruktur eines einzelnen Datensatzes, generiert aus dem output.schema in der manifest.json.
| Feld | Fachlicher Name | Typ | Beispiel | Beschreibung |
|---|---|---|---|---|
| comment_id | Comment ID | string | 7676928910512587528 | The stable unique identifier of the TikTok comment |
| content_id | Content ID | string | 7676927940759653650 | The identifier of the TikTok video associated with the comment |
| cur_id | Record ID | string | 6a8fe471f5f83d2da3b7649d | The source record identifier returned with this comment |
| comment_type | Comment type | string | 1 | The source value identifying the comment type, retained as source text |
| root_comment_id | Root comment ID | string | 7676928910512587528 | The identifier of the root comment in this reply thread; top-level comments usually repeat their own Comment ID |
| parent_comment_id | Parent comment ID | string | 0 | The identifier of the parent comment for a reply; top-level comments are usually 0 |
| comment_user_id | Author ID | string | 7577435595783603221 | The public TikTok identifier of the comment author |
| comment_user_avatar_url | Author avatar | string | https://p16-common-sign.tiktokcdn-us.com/tos-alisg-avt-0068/02b166b17f1f9cd4fd5bcab5b12d3b4f~tplv-tiktokx-cropcenter:100:100.jpg?dr=9640&refresh_token=e18e22e5&x-expires=1787900400&x-signature=NEB%2BONXLIJ33UyKgKI6NOuyNNS0%3D&t=4d5b0474&ps=13740610&shp=30310797&shcp=ff37627b&idc=useast5 | The public avatar image URL of the comment author |
| comment_user_name | Author name | string | LOR3NZO 🥵 | The public display name of the comment author |
| comment_text | Comment text | string | 🔥🔥🔥 | The text published in the TikTok comment |
| publish_time | Published at | string | 2026-08-23T02:45:14 | The source timestamp when the comment was published, kept as returned by the data source |
| image_urls | Image URLs | string | — | Image addresses attached to the comment, retained as source text; empty when the comment has no image |
| crawl_time | Collected at | string | 2026-08-27T15:17:02 | The source timestamp when the comment record was collected, kept as returned by the data source |
| like_count | Like count | string | 1 | The comment like count at collection time, retained as source text |
| keyword | Keyword | string | 7676927940759653650 | The source keyword value associated with this comment record, retained as source text |
| sec_id | Author sec ID | string | MS4wLjABAAAAPbxslh-t5xoPlxOuQY3X4ZNjqiwy2dBXmUa5HM7crjnOmIAJTTzKPm5aYI79jHTn | The public TikTok sec ID of the comment author, retained as source text |
| biz_id | Business ID | string | 7676927940759653650 | The business identifier carried by the source comment record, retained as source text |
| detailed_mentions | Detailed mentions | string | [] | Detailed mention text carried by the source record, retained as source text rather than parsed as a list |
| liked_by_author | Liked by author | boolean | true | Whether the video author liked this comment at collection time |
| mentions | Mentions | string | [] | Mention text carried by the source record, retained as source text rather than parsed as a list |
| pinned_by_author | Pinned by author | boolean | false | Whether the video author pinned this comment at collection time |
| reply_comment_total | Reply count | string | 0 | The number of replies to the comment at collection time, retained as source text |
| source_item | Source item | string | 7676927940759653650 | The submitted TikTok content ID associated with this result record |
| no_data | No data | boolean | false | Whether no public comment data was collected for the source video |
Datensatz-Schema
Die Ausgabe wird Datensatz für Datensatz zurückgegeben. detail.output.idFieldHint
{
"type": "object",
"properties": {
"comment_id": {
"type": "string",
"title": "Comment ID",
"description": "The stable unique identifier of the TikTok comment",
"prefill": "7676928910512587528"
},
"content_id": {
"type": "string",
"title": "Content ID",
"description": "The identifier of the TikTok video associated with the comment",
"prefill": "7676927940759653650"
},
"cur_id": {
"type": "string",
"title": "Record ID",
"description": "The source record identifier returned with this comment",
"prefill": "6a8fe471f5f83d2da3b7649d"
},
"comment_type": {
"type": "string",
"title": "Comment type",
"description": "The source value identifying the comment type, retained as source text",
"prefill": "1"
},
"root_comment_id": {
"type": "string",
"title": "Root comment ID",
"description": "The identifier of the root comment in this reply thread; top-level comments usually repeat their own Comment ID",
"prefill": "7676928910512587528"
},
"parent_comment_id": {
"type": "string",
"title": "Parent comment ID",
"description": "The identifier of the parent comment for a reply; top-level comments are usually 0",
"prefill": "0"
},
"comment_user_id": {
"type": "string",
"title": "Author ID",
"description": "The public TikTok identifier of the comment author",
"prefill": "7577435595783603221"
},
"comment_user_avatar_url": {
"type": "string",
"title": "Author avatar",
"description": "The public avatar image URL of the comment author",
"prefill": "https://p16-common-sign.tiktokcdn-us.com/tos-alisg-avt-0068/02b166b17f1f9cd4fd5bcab5b12d3b4f~tplv-tiktokx-cropcenter:100:100.jpg?dr=9640&refresh_token=e18e22e5&x-expires=1787900400&x-signature=NEB%2BONXLIJ33UyKgKI6NOuyNNS0%3D&t=4d5b0474&ps=13740610&shp=30310797&shcp=ff37627b&idc=useast5"
},
"comment_user_name": {
"type": "string",
"title": "Author name",
"description": "The public display name of the comment author",
"prefill": "LOR3NZO 🥵"
},
"comment_text": {
"type": "string",
"title": "Comment text",
"description": "The text published in the TikTok comment",
"prefill": "🔥🔥🔥"
},
"publish_time": {
"type": "string",
"title": "Published at",
"description": "The source timestamp when the comment was published, kept as returned by the data source",
"prefill": "2026-08-23T02:45:14"
},
"image_urls": {
"type": "string",
"title": "Image URLs",
"description": "Image addresses attached to the comment, retained as source text; empty when the comment has no image"
},
"crawl_time": {
"type": "string",
"title": "Collected at",
"description": "The source timestamp when the comment record was collected, kept as returned by the data source",
"prefill": "2026-08-27T15:17:02"
},
"like_count": {
"type": "string",
"title": "Like count",
"description": "The comment like count at collection time, retained as source text",
"prefill": "1"
},
"keyword": {
"type": "string",
"title": "Keyword",
"description": "The source keyword value associated with this comment record, retained as source text",
"prefill": "7676927940759653650"
},
"sec_id": {
"type": "string",
"title": "Author sec ID",
"description": "The public TikTok sec ID of the comment author, retained as source text",
"prefill": "MS4wLjABAAAAPbxslh-t5xoPlxOuQY3X4ZNjqiwy2dBXmUa5HM7crjnOmIAJTTzKPm5aYI79jHTn"
},
"biz_id": {
"type": "string",
"title": "Business ID",
"description": "The business identifier carried by the source comment record, retained as source text",
"prefill": "7676927940759653650"
},
"detailed_mentions": {
"type": "string",
"title": "Detailed mentions",
"description": "Detailed mention text carried by the source record, retained as source text rather than parsed as a list",
"prefill": "[]"
},
"liked_by_author": {
"type": "boolean",
"title": "Liked by author",
"description": "Whether the video author liked this comment at collection time",
"prefill": true
},
"mentions": {
"type": "string",
"title": "Mentions",
"description": "Mention text carried by the source record, retained as source text rather than parsed as a list",
"prefill": "[]"
},
"pinned_by_author": {
"type": "boolean",
"title": "Pinned by author",
"description": "Whether the video author pinned this comment at collection time",
"prefill": false
},
"reply_comment_total": {
"type": "string",
"title": "Reply count",
"description": "The number of replies to the comment at collection time, retained as source text",
"prefill": "0"
},
"source_item": {
"type": "string",
"title": "Source item",
"description": "The submitted TikTok content ID associated with this result record",
"prefill": "7676927940759653650"
},
"no_data": {
"type": "boolean",
"title": "No data",
"description": "Whether no public comment data was collected for the source video",
"prefill": false
}
},
"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": {
"hello_moto__tiktok-video-comments": {
"type": "http",
"url": "https://mcp-v2.octoparse.com?pin=hello_moto/tiktok-video-comments",
"headers": { "Authorization": "Bearer <YOUR_API_KEY>" }
}
}
}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
Berechnet nach der Anzahl der erfolgreich zurückgegebenen Datensätze. Fehlgeschlagene Läufe werden nicht berechnet. Abgerechnet in Einheiten von 20 Datensatz; jede angefangene Einheit wird auf 20 Datensatz aufgerundet.
Wird pro übermitteltem Lauf einmal berechnet, unabhängig davon, wie viele Datensätze zurückgegeben werden.
Mehrere Abrechnungsereignisse werden unabhängig voneinander kumuliert. Details siehe jeweilige Position. Fehlgeschlagene Läufe werden nicht berechnet.
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