Install
openclaw skills install @apidojo-io/finding-brand-collaborations-on-tiktokDiscovers brand collaboration patterns and sponsored content on TikTok using apidojo's TikTok scrapers on Apify. Triggers when the user asks to: find which brands are running TikTok influencer campaigns, discover creator-brand partnerships in a product category, identify which influencers are working with competitor brands on TikTok, see what sponsorship deals are active in a niche, find brands that sponsor TikTok creators, analyze competitor influencer marketing strategy on TikTok, or track paid partnership posts by category. Returns creator handle, brand name, post performance, estimated reach, and collaboration frequency. Ideal for influencer marketing teams, competitive intelligence analysts, and brand partnership managers.
openclaw skills install @apidojo-io/finding-brand-collaborations-on-tiktokMaps active brand-creator partnerships in a product category. Identifies which brands are investing in TikTok influencer marketing, which creators they're working with, and the performance benchmarks for sponsored content.
APIFY_TOKEN environment variable set| 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 |
Progress:
- [ ] Step 1: Search sponsored content hashtags for category
- [ ] Step 2: Filter for sponsored signals
- [ ] Step 3: Extract brand and creator pairs
- [ ] Step 4: Analyze collaboration patterns
- [ ] Step 5: Deliver brand-creator map
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": ["#ad", "#sponsored", "#[category]partner", "#[category]collab"],
"keywords": ["[BRAND_NAME] sent", "use code", "thanks to [CATEGORY] brand"],
"maxItems": 300
}
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": ["#ad", "#sponsored", "#fitnesspartner"],
"maxItems": 300
}'
From each sponsored post, extract:
brand_name: From caption mention (@[brand], [Brand] sent me, thanks to [Brand])creator_handle: authorMeta.namepost_views: playCountpost_date: createTimecollaboration_type: #gifted (product seeding) vs. #ad/#sponsored (paid)sponsored_performance = playCount / 1000 (views in thousands)
creator_roi_proxy = playCount / followerCount (view-to-follower ratio for sponsored post)
Brand collaboration frequency per creator:
collab_depth = count(posts where same brand appears) / total_posts_in_date_range
"gifted", "c/o", "partnership" in caption; TikTok disclosure is inconsistently applied# TikTok Brand Collaboration Map: [CATEGORY]
Posts analyzed: [N] | Sponsored posts identified: [N] | Unique brands: [N] | Date: [DATE]
## Brands Running Active TikTok Campaigns
| Brand | # Creators Used | # Posts | Avg Views/Post | Collaboration Type |
|-------|----------------|---------|----------------|-------------------|
| [brand] | [N] | [N] | [N] | [Gifted/Paid/Mixed] |
## Creator-Brand Pairs
| Creator | @Handle | Brand | Posts | Avg Views | Collab Type | Est. Reach |
|---------|---------|-------|-------|-----------|-------------|-----------|
| [name] | @[handle] | [brand] | [N] | [N] | [Gifted/Paid] | [N] |
## Benchmark: Sponsored Post Performance in [CATEGORY]
- Median views for sponsored posts: [N]
- Top-performing brand campaign: [brand] — [N] avg views
- Most-used creator tier: [micro/macro/mega]
Disclosure data sparse: TikTok doesn't always surface #ad in scraped captions. Check for brand mentions in text and product codes.
Results outside the category: Refine search by combining #ad with a niche keyword: "#ad #fitness" or "#sponsored #skincare".
Can't find competitor campaigns: If competitor avoids disclosure, search for their brand @mention directly in TikTok search.