finding-brand-collaborations-on-tiktok

Original：🇺🇸 English

Translated

Discovers 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.

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Sourceapidojo-io/apidojo-skills

Added on2026-09-04

NPX Install

npx skill4agent add apidojo-io/apidojo-skills finding-brand-collaborations-on-tiktok

SKILL.md Content

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Finding Brand Collaborations on TikTok

Maps 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.

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: 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

Step 1: Search Posts

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": ["#ad", "#sponsored", "#[category]partner", "#[category]collab"],
  "keywords": ["[BRAND_NAME] sent", "use code", "thanks to [CATEGORY] brand"],
  "maxItems": 300
}

REST API fallback:

bash

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
  }'

Step 2: Extract Brand-Creator Pairs

From each sponsored post, extract:

brand_name

: From caption mention (

@[brand]

,

[Brand] sent me

,

thanks to [Brand]

)

```
creator_handle
```
:
```
authorMeta.name
```
```
post_views
```
:
```
playCount
```
```
post_date
```
:
```
createTime
```
```
collaboration_type
```
:
```
#gifted
```
(product seeding) vs.
```
#ad
```
/
```
#sponsored
```
(paid)

Step 3: Score Campaign Performance

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

Step 4: Edge Cases

No #ad hashtag but clearly sponsored: Also scan for
```
"gifted"
```
,
```
"c/o"
```
,
```
"partnership"
```
in caption; TikTok disclosure is inconsistently applied
Brand name ambiguous (e.g. "Nike" in sports context): Verify by checking if creator's bio mentions brand partnership or if post has dedicated product showcase format
< 20 sponsored posts found: Category may be under-sponsored on TikTok; check if brands are using darker patterns (no disclosure) — widen search to product names alone

Output Format

# 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]

Troubleshooting

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.