Browser

discovering-viral-tiktok-content-trends

Name: discovering-viral-tiktok-content-trends
Author: apidojo-io

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.

What it does

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.

The skill document

Discovering Viral TikTok Content Trends

Prerequisites

APIFY_TOKEN environment 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_TOKEN must be set in environment or .env file.

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_views to 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.

Related skills

AdMapix

Fetch raw ad creative, app, ranking, and revenue data from AdMapix as structured JSON.

by fly0pants4.3k installs296 stars

diagram-generator

Generate and edit Draw.io, Mermaid, and Excalidraw diagrams from natural language using a structured JSON spec.

by nssa.io1.0k installs47 stars

Join meeting

Join a video meeting as an AI bot with voice, avatar, and screenshare across four operating modes.

by johnpatternai22 installs8 stars

Productivity

Find why your productivity system keeps failing, then apply the smallest fix — capacity math, bottleneck routing, durable local notes.

by Iván855 installs69 stars

Memory

Stores durable facts in a categorized, plain-markdown vault on disk, alongside your agent's built-in memory.

by Iván559 installs18 stars

SEO (Site Audit + Content Writer + Competitor Analysis)

Site audit, content writing, and competitor analysis for organic search rankings.

by Iván574 installs31 stars

More from apidojo-io

Browse all skills

tracking-twitter-thought-leaders

Identifies and tracks thought leaders and key voices in any industry on Twitter/X using apidojo's scrapers. Triggers when the user asks to: find the top voices in an industry on Twitter, identify thought leaders in a niche, discover who has the most influence in a topic area on X, find experts tweeting about a subject, build a list of influencers to engage with on Twitter, track who is gaining followers fastest in a category, or identify key opinion leaders in a field for PR or partnership outreach. Returns name, handle, follower count, engagement rate, bio keywords, and recent top tweets. Ideal for PR teams, community managers, and B2B content marketers.

by apidojo-io1 installs

building-twitter-prospect-lists

Builds targeted B2B prospect lists from Twitter/X profiles and posts using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find Twitter users with a specific job title or keyword in bio, build a list of founders or executives on Twitter, find people tweeting about a topic for outreach, identify potential customers on X, scrape Twitter profiles matching an ICP description, find decision-makers in a specific industry on Twitter, or export a list of leads from Twitter bios. Returns name, username, bio, follower count, location, and recent tweet samples per prospect. Ideal for B2B SDRs, growth hackers, founder-led sales teams, and partnership managers.

by apidojo-io1 installs

extracting-tiktok-comments-for-research

Extracts and analyzes TikTok comments from any video or creator using apidojo's TikTok Comments scraper on Apify. Triggers when the user asks to: scrape TikTok comments from a video, analyze what viewers say about a TikTok post, extract comment data for sentiment analysis, find top comments on a viral TikTok video, collect TikTok user feedback from comments, build a dataset of TikTok community reactions, study audience sentiment on TikTok content, or research what a target audience cares about from TikTok comments. Returns commenter username, comment text, likes on comment, reply count, and timestamp. Ideal for market researchers, brand managers, content creators, and academic researchers.

by apidojo-io1 installs

finding-trending-twitter-topics-for-content

Finds trending Twitter topics and conversations for content ideation using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find trending topics on Twitter for content, discover what is being discussed in a niche on X right now, identify Twitter conversations to join with content, find trending hashtags in an industry on Twitter, research what topics are generating engagement in a space on X, discover viral tweet themes for blog or video content, or find what your target audience is talking about on Twitter this week. Returns trending topics, tweet volume signals, top engagement posts, and content angle suggestions. Ideal for content marketers, social media managers, newsletter writers, and real-time content teams.

by apidojo-io1 installs

finding-youtube-micro-influencers

Finds YouTube micro-influencers and niche creators using apidojo's YouTube scraper on Apify. Triggers when the user asks to: find YouTube channels under 100k subscribers in a niche, discover emerging YouTube creators for sponsorship deals, find YouTubers covering a specific topic, identify high-engagement YouTube channels with smaller audiences, build a YouTube influencer outreach list, compare YouTube channel growth rates in a category, or find YouTube channels for affiliate or brand partnership programs. Returns channel name, subscriber count, total views, average views per video, and contact info. Ideal for brand sponsors, podcast networks, and affiliate marketing teams.

by apidojo-io1 installs

finding-youtube-sponsorship-candidates

Finds YouTube channels suitable for brand sponsorships using apidojo's YouTube scraper on Apify. Triggers when the user asks to: find YouTube channels to sponsor, discover YouTubers who accept brand deals in a niche, identify YouTube influencers for mid-roll or integration sponsorships, find channels that already run sponsors in a product category, research YouTube sponsorship opportunities for a brand, identify high-CPM YouTube audiences for B2B or SaaS sponsorships, or build a YouTube outreach list for a sponsorship campaign. Returns channel name, subscriber count, avg views, engagement rate, niche, and sponsorship history. Ideal for brand partnerships managers, SaaS marketing teams, and sponsorship agencies.

by apidojo-io1 installs