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finding-tiktok-ugc-creators-for-brands

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Finds TikTok UGC creators for brand campaigns using apidojo's TikTok scrapers on Apify. Triggers when the user asks to: find TikTok creators for user-generated content, discover UGC creators in a product category on TikTok, find micro-creators who post organic product reviews on TikTok, identify TikTok creators for paid UGC campaigns, find authentic content creators in beauty food tech or fitness on TikTok, or build a UGC creator roster for a brand. Returns creator handle, follower count, avg views, engagement rate, niche, and content samples. Ideal for e-commerce brands, DTC companies, and influencer marketing managers.

What it does

Discovers TikTok micro-creators who produce authentic product content. UGC creators (1K–100K followers) deliver the highest ROI for paid campaigns — authentic feel, affordable rates, and high engagement relative to follower count.

The skill document

Finding TikTok UGC Creators for Brands

Discovers TikTok micro-creators who produce authentic product content. UGC creators (1K–100K followers) deliver the highest ROI for paid campaigns — authentic feel, affordable rates, and high engagement relative to follower count.

Prerequisites

  • APIFY_TOKEN environment variable set
  • Optional: Apify MCP server installed

Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]TikTok URLs — user profiles, hashtags, music pages, search, locations
keywordsarrayOptional[]Search keywords/terms to find posts
sortTypestringOptionalRELEVANCESort order for keyword results: RELEVANCE, MOST_LIKED, DATE_POSTED
locationstringOptional—ISO 3166-1 alpha-2 country code for regional filtering (e.g. US, GB)
maxItemsnumberOptionalUnlimitedMaximum posts to return across the run
includeSearchKeywordsbooleanOptionalfalseAdd the matched search keyword field to each post
customMapFunctionstringOptional—JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Search hashtags for niche UGC content
- [ ] Step 2: Collect creator handles from search
- [ ] Step 3: Enrich profiles
- [ ] Step 4: Score UGC fit
- [ ] Step 5: Deliver creator roster

Step 1: Build Hashtag Searches

Hashtags for niche: #[niche]review, #[niche]haul, #[niche]unboxing, #[niche]honest review,
                    #[niche]foryou, #ugc[niche], #[niche]tiktokmademebuyit

Example for skincare:

["#skincarereviews", "#skincarehaul", "#skincaretiktok", "#ugcskincare", "#honestskincarereview"]

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]review", "#[niche]haul", "#ugc[niche]"],
  "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": ["#skincarereviews", "#skincarehaul"],
    "maxItems": 200
  }'

Collect unique authorMeta.name (handles) with > 2 posts in niche.

Step 2: Enrich Creator Profiles

If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~tiktok-profile-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-profile-scraper/runs?token=$APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"profiles": ["https://www.tiktok.com/@handle1"]}'

Step 3: Score UGC Fit

engagement_rate = (avg_likes + avg_comments) / follower_count * 100

view_to_follower_ratio = avg_views / follower_count

ugc_score = (engagement_rate > 5 ? 1 : engagement_rate / 5) * 0.35
          + (view_to_follower_ratio > 1 ? 1 : view_to_follower_ratio) * 0.30
          + (follower_count in 5000..50000 ? 1 : 0.6) * 0.20
          + (posts_in_niche >= 3 ? 1 : posts_in_niche / 3) * 0.15

UGC tier classification:

  • TIER 1 (score ≥ 0.75): High engagement, consistent niche content — ideal for paid UGC
  • TIER 2 (score 0.50–0.74): Good engagement, some niche overlap — worth testing
  • TIER 3 (score < 0.50): Low engagement or single niche post — aspirational / monitoring list

Step 4: Edge Cases

  • Brand accounts appear in hashtag results: Drop entries where bio contains "Official", "brand", "@company" — keep only individual creators
  • Views from single viral video inflating avg: Calculate avg from last 10 posts; flag if std_dev > 3× avg (viral outlier)
  • Creator posts in multiple niches: Track niche_concentration = niche_posts / total_posts; flag if < 30%
  • Inactive creators: Skip if lastPostDate > 60 days ago

Output Format

# TikTok UGC Creator Roster: [NICHE]
Creators evaluated: [N] | TIER 1: [N] | TIER 2: [N] | Date: [DATE]

## TIER 1 — Prime UGC Creators
| Creator | Handle | Followers | Avg Views | Eng Rate | View/Follower | Niche % | Score |
|---------|--------|-----------|-----------|----------|---------------|---------|-------|
| [name] | @[handle] | [N] | [N] | [X%] | [X.X×] | [X%] | [0.XX] |

## TIER 2 — Worth Testing
| Creator | Followers | Avg Views | Eng Rate | Last Active |
|---------|-----------|-----------|----------|------------|

## Niche Hashtag Performance
| Hashtag | Posts Scraped | Avg Views per Post | Top Creator Found |
|---------|--------------|-------------------|-------------------|

Troubleshooting

Too many brand accounts: Tighten filter — drop accounts with follower_count > 500K and accounts with verification badge. Hashtag returns mainly brand posts: Switch to user-driven hashtags: #tiktokmademebuyit[niche], #[niche]recommendation. Creators found aren't making product content: Use hashtags that explicitly signal product review intent rather than broad niche tags.

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