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discovering-tiktok-creators-by-niche

Name: discovering-tiktok-creators-by-niche
Author: apidojo-io

Discovers and ranks TikTok creators in any niche or topic using apidojo's TikTok scrapers on Apify. Triggers when the user asks to: find TikTok influencers in a specific niche, discover creators for a campaign, identify who's growing fastest on TikTok in a category, find micro-influencers on TikTok under a certain follower count, build a list of TikTok creators for brand partnerships, compare TikTok creator engagement rates in a vertical, or identify rising TikTok stars. Returns creator username, follower count, avg views, engagement rate, bio, and profile URL. Ideal for influencer marketers, brand partnership teams, and talent managers.

What it does

Finds TikTok creators in any topic area by scraping relevant hashtags and profiles. Returns a ranked list with follower count, engagement rate, and contact-ready profile data for influencer outreach.

The skill document

Discovering TikTok Creators by Niche

Finds TikTok creators in any topic area by scraping relevant hashtags and profiles. Returns a ranked list with follower count, engagement rate, and contact-ready profile data for influencer outreach.

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: Define niche and targeting criteria
- [ ] Step 2: Build hashtag list for the niche
- [ ] Step 3: Run tiktok-scraper to find creators
- [ ] Step 4: Optionally enrich with tiktok-profile-scraper
- [ ] Step 5: Rank and format output

Step 1: Clarify Parameters

Ask the user for:

Niche/topic (e.g., "fitness", "sustainable fashion", "personal finance")
Max followers (for micro-influencers, e.g., 100000)
Min followers (optional, e.g., 10000)
Number of creators (default: 50)
Language/region (optional)

Step 2: Build Hashtag List

Generate 5-8 relevant hashtags for the niche. Examples:

Fitness → #fitness, #workout, #gymtok, #fitnessmotivation, #homeworkout
Finance → #personalfinance, #investing, #moneytips, #financetok, #budgeting
Beauty → #beautytok, #skincareroutine, #makeuptutorial, #glowup, #skincare

Step 3: Run tiktok-scraper

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": ["[hashtag1]", "[hashtag2]", "[hashtag3]"],
  "shouldDownloadCovers": false
}

If Apify MCP is not available:

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]"],
    "shouldDownloadCovers": false
  }'

Save RUN_ID. Wait for status: SUCCEEDED.

Step 4: Fetch and Deduplicate Creators

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"

From the results, extract unique authorMeta.id values. Deduplicate — same creator often appears across hashtags. Sort by authorMeta.fans (follower count).

Optional enrichment: If the user wants deeper profile data, run apidojo/tiktok-profile-scraper with the top creator usernames to get engagement rate and video performance.

Step 5: Apply Filters and Rank

Apply user's follower range filters. Compute a simple engagement score:

engagement_score = (avg_likes + avg_comments) / follower_count * 100

Rank by engagement score within the follower range.

Output Format

# TikTok Creator Discovery: [NICHE] Niche
Found: [N] creators | Follower range: [MIN]–[MAX] | Date: [DATE]

| # | Username | Followers | Avg Views | Eng. Rate | Niche Tags | Profile |
|---|----------|-----------|-----------|-----------|------------|---------|
| 1 | @[name]  | [N]       | [N]       | [X.X%]    | [tags]     | [url]   |
| 2 | @[name]  | [N]       | [N]       | [X.X%]    | [tags]     | [url]   |

## Top Picks for Outreach
1. **@[name]** — [N] followers, [X.X%] engagement, posts primarily about [topic]
2. **@[name]** — [N] followers, [X.X%] engagement, posts primarily about [topic]
3. **@[name]** — [N] followers, [X.X%] engagement, posts primarily about [topic]

## Notes
- Engagement rate > 5% is considered high for this follower range
- [N] creators filtered out (outside follower range)
- Data freshness: ~24h from TikTok public API

Troubleshooting

Too few results: Add more hashtags or remove follower filters. All results are large accounts: Niche hashtags tend to surface mega-influencers — try sub-niche hashtags (e.g., #homegymtok instead of #fitness). Stale follower counts: TikTok data cached by Apify is typically 24-48h old.

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