TikTok Comment Replies API for Openclaw

A specialized tool for extracting nested comment replies and threaded discussions from TikTok posts.

justoneapi
v1.0.0
Apr 30, 2026
0
646
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install justoneapi-tiktok-get-post-sub-comment

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install justoneapi-tiktok-get-post-sub-comment using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is TikTok Comment Replies API?

The TikTok Comment Replies API skill is a high-performance data extraction tool designed for the Openclaw Skills ecosystem. It facilitates the retrieval of deep-level interactions within TikTok's ecosystem by targeting specific comment threads via the JustOneAPI infrastructure. This skill allows developers and researchers to access granular data including reply IDs, detailed user information, and raw text content.

By integrating this into your Openclaw Skills workflow, you gain the ability to map out complex social conversations, track influencer engagement within sub-comments, and monitor brand sentiment in highly active discussion threads. It is optimized for programmatic access, ensuring that threaded data is captured accurately for sentiment analysis or community management.

TikTok Comment Replies API Use Cases

  • Mapping threaded discussions and user interactions within viral TikTok posts.
  • Identifying active community participants and micro-influencers within specific comment sections.
  • Monitoring brand sentiment and customer feedback nested within secondary comment layers.
  • Scraping structured interaction data for social media research and competitive analysis.

How TikTok Comment Replies API Works

  1. The user identifies a specific TikTok post (awemeId) and a top-level comment (commentId) to investigate.
  2. The Openclaw Skills agent validates the required parameters and ensures the JUST_ONE_API_TOKEN is available in the environment.
  3. A GET request is dispatched to the /api/tiktok/get-post-sub-comment/v1 endpoint.
  4. The system processes pagination using the cursor parameter if multiple pages of replies exist.
  5. The skill returns a structured JSON payload containing user profiles, reply text, and engagement metadata.

TikTok Comment Replies API Setup

To use this skill, ensure you have Node.js installed and a valid API token from the Just One API Dashboard.

# Set your API token as an environment variable
export JUST_ONE_API_TOKEN="your_token_here"

# Run the skill via the CLI
node ./bin/run.mjs --operation "getPostSubCommentV1" --token "$JUST_ONE_API_TOKEN" --params-json '{"awemeId":"YOUR_AWEME_ID","commentId":"YOUR_COMMENT_ID"}'

TikTok Comment Replies API Data Schema & Taxonomy

The skill organizes data around the following primary query parameters and response objects:

Parameter Type Description
awemeId String The unique identifier for the TikTok video post.
commentId String The unique identifier for the parent comment.
cursor String Pagination marker; defaults to '0' for the first page.

Output Data: Returns a collection of reply objects including reply_id, user_info (nickname, avatar, signature), and text content.

TikTok Comment Replies API Advanced Features

  • Multi-agent support for large-scale social listening workflows within the Openclaw Skills framework.
  • Automated pagination handling via the cursor parameter for exhaustive thread extraction.
  • High-fidelity data retention, keeping user IDs and cursors unchanged for precise tracking.
  • Direct integration with JustOneAPI's v1 endpoint for optimized response times and reliability.

SKILL.md


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