使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/apidojo-io/apidojo-skills --skill analyzing-competitor-tiktok-content-strategy开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Analyzing Competitor TikTok Content Strategy
Scrapes a competitor's TikTok profile to pull their recent videos, engagement data, posting patterns, and hashtag usage. Reverse-engineers what's working for them so you can learn from it or differentiate against it.
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: Get competitor TikTok handle(s)
- [ ] Step 2: Pull profile stats with tiktok-profile-scraper
- [ ] Step 3: Pull recent videos with tiktok-scraper
- [ ] Step 4: Identify top-performing content patterns
- [ ] Step 5: Deliver content strategy analysisStep 1: Clarify Parameters
Ask the user for:
- Competitor TikTok handle(s) — up to 5 accounts (without @)
- Number of recent videos to analyze (default: 50 — last 2-3 months of content)
- Analysis focus — top content, posting cadence, hashtag strategy, or all three
Step 2: Pull Profile Stats
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 jsonAPIFY_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~tiktok-profile-scraper"
Input:
{
"usernames": ["[handle1]", "[handle2]"]
}REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~tiktok-profile-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"usernames": ["[handle1]", "[handle2]"]}'Extract: fans, heart (total likes), video count, following, bio text.
Step 3: Pull Recent Videos
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~tiktok-scraper"
Input:
{
"profiles": ["https://www.tiktok.com/@[handle1]", "https://www.tiktok.com/@[handle2]"]
}REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"profiles": ["https://www.tiktok.com/@[handle1]"]
}'Step 4: Analyze Content Patterns
From the video dataset, extract:
Top 10 videos by play count:
- Title/caption, views, likes, comments, shares, date, hashtags
Posting frequency:
dates = [video.createTimeISO for each video]
days_covered = max(dates) - min(dates)
posting_rate = total_videos / days_covered (posts per day)Hashtag analysis: Extract all hashtags across videos. Count frequency. Top 10 = their core hashtag strategy.
Content format patterns: From captions, classify videos into buckets:
- Educational/Tutorial (contains: "how to", "tips", "learn", numbers like "5 ways")
- Entertainment/Humor (reactions, trends, dances)
- Promotional (product mentions, CTAs, "link in bio")
- Behind-the-scenes (BTS, day-in-life, founder story)
- UGC/Response (reply to comment format)
Hook patterns in top videos: Look at the first line of captions in the top 10 videos. What do they have in common?
Step 5: Format Analysis
Output Format
# TikTok Content Strategy Analysis: @[COMPETITOR]
Videos analyzed: [N] | Period: [start]–[end] | Date: [DATE]
## Account Overview
Followers: [N] | Total likes: [N] | Videos posted: [N] | Avg likes per video: [N]
Overall engagement rate: [X.X%]
## Posting Pattern
- Frequency: [X] videos per week
- Best-performing days: [day], [day] (based on publish date of top videos)
- Average video length: [X] seconds (if available)
## Top 5 Videos (by Views)
| # | Caption Excerpt | Views | Likes | Comments | Hashtags | Date |
|---|----------------|-------|-------|----------|----------|------|
| 1 | "[caption]" | [N] | [N] | [N] | [tags] | [date] |
## Content Mix
| Format | % of Videos | Avg Views |
|--------|-------------|-----------|
| Educational | [X%] | [N] |
| Entertainment | [X%] | [N] |
| Promotional | [X%] | [N] |
| BTS/Story | [X%] | [N] |
## Top Hashtags Used
1. #[tag] — used in [N] of [total] videos
2. #[tag] — [N] videos
3. #[tag] — [N] videos
## Hook Patterns in Top Content
- Top performing hooks start with: [pattern — e.g., questions, numbers, bold claims]
- Example: "[first line of top video]"
## What's Working for Them
1. [Insight 1 — specific, actionable]
2. [Insight 2]
3. [Insight 3]
## Gap / Differentiation Opportunity
[What they're NOT doing that could be a strategic opening]Troubleshooting
Profile scraper returns no videos: The account may have few posts or have gone inactive. Check the handle. Top videos all very old: Account may have slowed down. Note this in the analysis. Hashtags missing from results: Some captions don't use hashtags. Analyze caption text for topic signals instead.
