Home / sam6dvpte34 / social-media-skill · skills/tiktok-comment-scraper/SKILL.md · GitHub

tiktok-comment-scraper skillA

tiktok-comment-scraper is agent-read markdown (skill) from sam6dvpte34/social-media-skill: Collect comments from TikTok — text, author, timestamp, likes, replies. Use when the user wants to mine audience feedback, questions, or sentiment..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Tiktok Comment Scraper

Use this Skill for TikTok comment collection, audience research, reply mining, feedback tracking, and sentiment analysis on TikTok.

This Skill uses the [BrowserAct](https://www.browseract.com/?co-from=social-media) CLI to access real browser pages and execute tasks.

## Common Use Cases

- Collect visible comments and replies from public or authorized TikTok videos
- Mine audience questions, objections, praise, and product feedback
- Track creator-audience interactions and campaign responses
- Export source-linked comment datasets for analysis

## Common Data

Depending on what is visible and authorized, relevant fields can include:

- Comment text, author username, profile link, timestamp, and reply depth
- Like count, creator reply status, location when visible, and pinned context
- Source video URL, caption snippet, creator, and video metadata
- Thread structure, nested replies, and collection timestamp

## Instructions

1. Identify the target TikTok video URL or list of video URLs.
2. Identify the requested fields, approximate result count, and preferred output format.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add sam6dvpte34/social-media-skill/tiktok-comment-scraper@v0.1.0
Exact content
mdr add sam6dvpte34/social-media-skill/tiktok-comment-scraper@sha256:5561d16932d1776a

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ks7khl6ndcql6jbl.svg)](https://markdownregistry.com/a/art_ks7khl6ndcql6jbl)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
v0.1.0 latest2026-09-15 640bc1e 3,381 BA view · diff
v0.1.02026-07-15 22dbfcf 3,386 BA view · diff
v0.1.02026-07-15 63eb026 3,380 BA view · diff
v0.1.02026-07-15 061a653 3,491 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3381 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

sam6dvpte34/social-media-skill · 5 stars · license none · pushed 2026-09-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ks7khl6ndcql6jbl
GET https://markdownregistry.com/api/v1/resolve?ref=sam6dvpte34/social-media-skill/tiktok-comment-scraper
GET https://markdownregistry.com/api/v1/blob/5561d16932d1776acf65f404301213e6aec8704576661b0c4139a30aab7dd4bb

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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