# Discovering Tiktok Creators By Niche

> Discovers and ranks TikTok creators in any niche or topic using apidojo's TikTok scrapers on Apify.

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.

- Page: https://ss33.ai/skills/apidojo-io/discovering-tiktok-creators-by-niche-75850883192
- Publisher: apidojo-io
- Category: [Business](https://ss33.ai/skills/category/business-y1h0vy) › [Social media & video content](https://ss33.ai/skills/category/business-y1h0vy/social-media-and-video-content-0pzewj)
- License: Apache-2.0
- Source: https://github.com/apidojo-io/apidojo-skills/blob/ffbdc00cbd01d09802e7f389ac4f61d4803972a7/skills/intent/discovering-tiktok-creators-by-niche/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/apidojo-io/discovering-tiktok-creators-by-niche-75850883192

# 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):**
```bash
# 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:**
```bash
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

```bash
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.