analyzing-tiktok-hashtag-performance
Analyzes TikTok hashtag performance, reach, and trending content using apidojo's TikTok scraper on Apify. Triggers when the user asks to: analyze a TikTok hashtag, find trending hashtags on TikTok in a niche, see which hashtags perform best for a content type, compare hashtag reach and total view counts on TikTok, identify viral content under a hashtag, research TikTok hashtag strategy for a campaign, find which hashtags a competitor uses most, or determine the best hashtags to use for a TikTok post. Returns hashtag name, total views, top video stats, top creators, and engagement benchmarks. Ideal for social media managers, content strategists, and TikTok growth consultants.
- Installs
- 741
- Last 24h
- +10
- Trending rank
- #8746
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill analyzing-tiktok-hashtag-performance- 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 analyzing-tiktok-hashtag-performance 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.
Analyzing TikTok Hashtag Performance
Scrapes TikTok hashtag pages to pull top-performing videos, engagement data, and creator information. Compares multiple hashtags side-by-side to identify which ones deliver the best reach for a given content category.
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: Define hashtags to analyze
- [ ] Step 2: Run tiktok-scraper for each hashtag
- [ ] Step 3: Calculate hashtag-level metrics
- [ ] Step 4: Identify top content and creators
- [ ] Step 5: Deliver strategy recommendations
Step 1: Clarify Parameters
Ask the user for:
- Hashtags to analyze — up to 10 (without #)
- Posts per hashtag (default: 30 — enough for reliable stats)
- Goal — choosing hashtags for a post, auditing a competitor's hashtag strategy, or general research
If the user hasn't provided hashtags yet and wants recommendations, ask for:
- Content niche (e.g., "fitness", "cooking", "personal finance")
- Then generate a mix of: 2 mega hashtags (100M+ views), 3 mid-tier (10M–100M), 3 niche (1M–10M), 2 micro (<1M)
Step 2: Run the Actor Per Hashtag
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": ["[hashtag1]", "[hashtag2]", "[hashtag3]"],
"shouldDownloadCovers": false
}
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": ["[hashtag1]", "[hashtag2]", "[hashtag3]"]
}'
Wait for SUCCEEDED. Fetch dataset.
Step 3: Calculate Hashtag Metrics
For each hashtag, from its video results:
total_views_sampled = sum(video.playCount)
avg_views_per_video = total_views_sampled / num_videos
avg_likes_per_video = sum(video.diggCount) / num_videos
avg_comments_per_video = sum(video.commentCount) / num_videos
engagement_rate = (avg_likes + avg_comments) / avg_views * 100
competition_level = num_videos_per_day (estimate from timestamps)
Use challengeInfo.stats.videoCount (if available) as total hashtag size proxy.
Step 4: Identify Top Content and Creators
For each hashtag, surface:
- Top 3 videos by play count (with creator handle and video URL)
- Top 3 creators by frequency in the hashtag's top content
- Common content formats in top videos (based on descriptions/captions)
Step 5: Format Output
Output Format
# TikTok Hashtag Performance Analysis
Hashtags analyzed: [N] | Posts sampled per hashtag: [30] | Date: [DATE]
## Hashtag Comparison Table
| Hashtag | Avg Views | Avg Likes | Eng. Rate | Competition | Verdict |
|---------|-----------|-----------|-----------|-------------|---------|
| #[name] | [N] | [N] | [X.X%] | [Low/Med/High] | [Use / Test / Avoid] |
## Detailed Breakdown
### #[hashtag1]
- Avg views per post: [N]
- Engagement rate: [X.X%]
- Competition level: [Low / Medium / High] — approx [N] new posts/day
- Top video: "[creator]" — [N] views | [url]
- Dominant content format: [e.g., tutorial, reaction, storytelling]
- **Recommendation:** [Use as primary / Layer with broader tags / Avoid — too saturated]
### #[hashtag2]
[same structure]
## Recommended Hashtag Strategy
For maximum reach on [CONTENT NICHE], use this combination:
- Primary (1-2 hashtags): [#hashtag] — broad reach driver
- Secondary (2-3 hashtags): [#hashtag] — niche relevance
- Micro (1-2 hashtags): [#hashtag] — community engagement
## Top Creators in These Hashtags
[Creators who appear most in top-performing content across all analyzed hashtags]
1. @[handle] — [N] top videos found | [N] followers
Troubleshooting
Very low view counts: Hashtag may be misspelled or very new. Verify spelling and try alternate versions. All results look the same: Mega-hashtags (#fyp, #foryou) surface algorithmically promoted content, not organic. Use niche hashtags for better signal. Engagement rate seems too high or low: Engagement rate varies heavily by content type — compare within the same content format for fair benchmarking.
FAQ
What does the analyzing-tiktok-hashtag-performance skill do?
Analyzes TikTok hashtag performance, reach, and trending content using apidojo's TikTok scraper on Apify. Triggers when the user asks to: analyze a TikTok hashtag, find trending hashtags on TikTok in a niche, see which hashtags perform best for a content type, compare hashtag reach and total view counts on TikTok, identify viral content under a hashtag, research TikTok hashtag strategy for a campaign, find which hashtags a competitor uses most, or determine the best hashtags to use for a TikTok post. Returns hashtag name, total views, top video stats, top creators, and engagement benchmarks. Ideal for social media managers, content strategists, and TikTok growth consultants.
How do I install analyzing-tiktok-hashtag-performance?
Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill analyzing-tiktok-hashtag-performance 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/analyzing-tiktok-hashtag-performance/ (personal) or .claude/skills/analyzing-tiktok-hashtag-performance/ (project).
Which AI agents can use analyzing-tiktok-hashtag-performance?
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 analyzing-tiktok-hashtag-performance 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 analyzing-tiktok-hashtag-performance?
It is published by apidojo-io in apidojo-io/apidojo-skills. It has 741 recorded installs.
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