discovering-viral-tiktok-content-trends
Discovers viral content trends and trending formats on TikTok using apidojo's TikTok scraper on Apify. Triggers when the user asks to: find trending content formats on TikTok, discover what is going viral on TikTok in a niche, identify viral TikTok hooks or video styles to adapt, research TikTok trends for a product category, find what content formats are performing best on TikTok right now, discover trending sounds or concepts in a niche on TikTok, or analyze what drives viral TikTok engagement in a specific category. Returns trending hashtags, view counts, engagement metrics, content format patterns, and hook analysis. Ideal for TikTok content creators, brand social teams, and video content strategists.
- Installs
- 791
- Last 24h
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- #8738
- Security
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill discovering-viral-tiktok-content-trends- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads discovering-viral-tiktok-content-trends automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Discovering Viral TikTok Content Trends
Identifies what's going viral on TikTok in a niche by analyzing high-performing posts. Extracts repeatable content formats, hooks, and structural patterns — the inputs needed to create content that rides existing momentum.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | TikTok URLs — user profiles, hashtags, music pages, search, locations |
keywords | array | Optional | [] | Search keywords/terms to find posts |
sortType | string | Optional | RELEVANCE | Sort order for keyword results: RELEVANCE, MOST_LIKED, DATE_POSTED |
location | string | Optional | — | ISO 3166-1 alpha-2 country code for regional filtering (e.g. US, GB) |
maxItems | number | Optional | Unlimited | Maximum posts to return across the run |
includeSearchKeywords | boolean | Optional | false | Add the matched search keyword field to each post |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Search niche hashtags
- [ ] Step 2: Filter for high-performing posts
- [ ] Step 3: Analyze content formats and hooks
- [ ] Step 4: Score trend viability for replication
- [ ] Step 5: Deliver trend brief
Step 1: Search Hashtags
Recommended — run_actor.js (handles waiting, output, and file saving automatically):
# Quick answer (prints table to chat)
node scripts/run_actor.js \
--actor "apidojo~tiktok-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~tiktok-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~tiktok-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.json --format json
APIFY_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~tiktok-scraper"
Input:
{
"keywords": ["#[niche]", "#[niche]tiktok", "#[niche]foryou"],
"maxItems": 200
}
REST API fallback:
curl -X POST "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN" -H "Content-Type: application/json" -d '{"keywords": ["#skincaretips", "#skincaretiktok"], "maxItems": 200}'
Filter: playCount >= min_views
Step 2: Analyze Content Patterns
From caption and available metadata, classify:
hook_type:
QUESTION = caption starts with or contains "?", "have you", "do you", "did you know"
LIST = "X things", "here are the", "number [N]"
BEFORE_AFTER = "I did X for 30 days", "watch the transformation"
STORY = first-person narrative opener ("I was struggling with...")
CONTROVERSY = "unpopular opinion", "no one talks about", "this is controversial"
TUTORIAL = "how to", "step by step", "the only guide you need"
content_length_tier:
SHORT = video duration < 15 seconds
MEDIUM = 15-60 seconds
LONG = > 60 seconds
Step 3: Score Trend Replicability
trend_score = (playCount / 1000000, max 1) * 0.30
+ (diggCount / playCount * 100 > 3 ? 1 : ratio/3) * 0.25
+ (commentCount / playCount * 100 > 0.5 ? 1 : ratio/0.5) * 0.25
+ (format_is_replicable: TUTORIAL/LIST/QUESTION = 1, BEFORE_AFTER = 0.8, STORY = 0.6) * 0.20
Trend window: posts all from the same 7-day period = TRENDING NOW; spread over 30 days = ESTABLISHED FORMAT
Step 4: Edge Cases
- Trend driven by a single mega-creator: If top 3 posts are from same creator, it's a creator trend not a format trend — flag as
CREATOR_DRIVEN; harder to replicate without their audience - Trend requires specific audio: Note if posts share the same sound; audio trends are TikTok-specific and may expire quickly
- Niche too small (< 50 posts above threshold): Lower
min_viewsto 25K; or report the top posts available with a note on data volume - International content dominates: Filter by caption language; use English-language posts if targeting English-speaking audience
Output Format
# TikTok Viral Trend Report: [NICHE]
Period: [DATE_RANGE] | Posts analyzed: [N] | Viral posts (>[MIN_VIEWS] views): [N] | Date: [DATE]
## Top Performing Formats
| Format | # Posts | Avg Views | Avg Like Rate | Best Example |
|--------|---------|-----------|--------------|-------------|
| Tutorial | [N] | [N] | [X%] | @[handle]: "[caption excerpt]" |
| List | [N] | [N] | [X%] | |
## Top Viral Posts
| Creator | Views | Likes | Comments | Hook Type | Caption Preview |
|---------|-------|-------|----------|----------|----------------|
## Hook Patterns Worth Replicating
1. "[Hook structure]" — used in [N] viral posts, avg [N] views
Example: "[verbatim hook from top post]"
## Trend Window Assessment
- TRENDING NOW (< 7 days): [N] posts in format
- ESTABLISHED FORMAT (7-30 days): [N] posts
- FADING (> 30 days): [N] posts
## Recommended Content Angles for [NICHE]
1. [Format + hook recommendation with rationale]
2. [Format + hook recommendation]
Troubleshooting
All viral posts are from mega-creators: Add filter follower_count < 500K to surface format trends from creators of all sizes.
Format analysis is inconsistent: Caption text is the only metadata available without video analysis; use it as a proxy and note this limitation.
Trend is already declining: TikTok trends typically peak and decline within 2-3 weeks; if freshness is low, recommend adapting the format with a new angle rather than copying directly.
FAQ
What does the discovering-viral-tiktok-content-trends skill do?
Discovers viral content trends and trending formats on TikTok using apidojo's TikTok scraper on Apify. Triggers when the user asks to: find trending content formats on TikTok, discover what is going viral on TikTok in a niche, identify viral TikTok hooks or video styles to adapt, research TikTok trends for a product category, find what content formats are performing best on TikTok right now, discover trending sounds or concepts in a niche on TikTok, or analyze what drives viral TikTok engagement in a specific category. Returns trending hashtags, view counts, engagement metrics, content format patterns, and hook analysis. Ideal for TikTok content creators, brand social teams, and video content strategists.
How do I install discovering-viral-tiktok-content-trends?
Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill discovering-viral-tiktok-content-trends in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/discovering-viral-tiktok-content-trends/ (personal) or .claude/skills/discovering-viral-tiktok-content-trends/ (project).
Which AI agents can use discovering-viral-tiktok-content-trends?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is discovering-viral-tiktok-content-trends safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains discovering-viral-tiktok-content-trends?
It is published by apidojo-io in apidojo-io/apidojo-skills. It has 791 recorded installs.
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