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discovering-viral-tiktok-content-trends

核心功能:通过Apify TikTok爬虫分析高表现帖子,提取爆款内容格式、钩子及结构,评估趋势可复制性与生命周期。典型场景:适合TikTok创作者、品牌社交团队、内容策略师,用于挖掘细分领域爆款、研究品类趋势等。输入支持TikTok链接、关键词、地区等参数,输出含热门标签、互动数据的趋势报告,可导出CSV/JSON。

apidojo-io
apidojo-io
热度 7.62
最近更新 2026-09-03 04:44:18
分类:营销依赖:代码执行 / 第三方 API / MCP 服务应用场景:社交媒体 / 市场分析 / 报告撰写 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add discovering-viral-tiktok-content-trends
Metadata
name
discovering-viral-tiktok-content-trends
description
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.
license
Apache-2.0
metadata
{"author":"apidojo","version":"1.0","apify-actor":"apidojo/tiktok-scraper"}

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_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.