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discovering-tiktok-shop-sellers-by-niche

Name: discovering-tiktok-shop-sellers-by-niche
Author: apidojo-io

Discovers TikTok Shop sellers and product listings in a specific niche using apidojo's TikTok scraper on Apify. Triggers when the user asks to: find TikTok Shop sellers in a product category, discover what products are selling on TikTok Shop, identify top-selling items in a niche on TikTok, find competitors selling on TikTok Shop, research TikTok Shop product opportunities, discover trending products with affiliate links on TikTok, or build a database of TikTok Shop merchants. Returns seller handle, product name, price, estimated sales signals, and niche category. Ideal for e-commerce sellers, product researchers, affiliate marketers, and TikTok Shop entrants.

What it does

Discovering TikTok Shop Sellers by Niche

The skill document

Discovering TikTok Shop Sellers by Niche

Maps the TikTok Shop seller landscape in a product category. Identifies which products are being heavily promoted, which creators drive the most sales content, and where product gaps exist.

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 niche hashtags with TikTok Shop signals
- [ ] Step 2: Filter posts with shop product links
- [ ] Step 3: Extract seller profiles and products
- [ ] Step 4: Rank by sales signal strength
- [ ] Step 5: Deliver seller/product map

Step 1: Search Hashtags

TikTok Shop hashtags: #tiktokshop[niche], #[niche]shop, #[niche]deals, #tiktokmademebuyit,
                      #[niche]affiliate, #[niche]haul

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": ["#tiktokshop", "#[niche]shop", "#tiktokmademebuyit"],
  "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": ["#tiktokshop", "#kitchentools", "#tiktokmademebuyit"],
    "maxItems": 300
  }'

Step 2: Score Seller Strength

sales_signal = (playCount / 10000) * 0.35
             + (diggCount / 1000) * 0.25
             + (commentCount / 100) * 0.15
             + (shareCount / 500) * 0.15
             + (hasShopLink ? 1 : 0) * 0.10

Normalize to [0, 1]. Sellers with multiple high-signal posts get multi_post_bonus = 0.15.

Step 3: Classify Seller Type

seller_type:
  BRAND = account.verified OR followerCount > 50K AND bio contains brand name
  CREATOR_AFFILIATE = individual account, earns commission per sale
  DROPSHIPPER = posts multiple unrelated products with generic descriptions

Step 4: Edge Cases

Non-Shop posts in results: Drop posts where caption has no shop signal AND no product link
Same product from many creators: De-duplicate by product name; count unique promoters as a "sales momentum" signal
Saturated niche (> 50 active sellers): Flag as HIGH_COMPETITION; present gap analysis (underserved sub-niches)
Views inflated by one viral post: Use median views across seller's last 10 posts as the signal, not max

Output Format

# TikTok Shop Seller Map: [NICHE]
Posts scanned: [N] | Unique sellers: [N] | Brands: [N] | Creator-affiliates: [N] | Date: [DATE]

## Top Sellers by Sales Signal
| Seller | Type | Product(s) | Avg Views/Post | Shop Posts | Signal Score |
|--------|------|-----------|----------------|-----------|-------------|
| @[handle] | Creator | [product] | [N] | [N] | [0.XX] |

## Top Products (by Promotion Frequency)
| Product Name | # Sellers Promoting | Avg Post Views | Price Range |
|-------------|--------------------|--------------------|-------------|
| [product] | [N] | [N] | $[X]-$[X] |

## Market Saturation
Competition level: [LOW / MEDIUM / HIGH] ([N] active sellers)
Potential gap: [sub-niche or product type with < 3 sellers]

Troubleshooting

Hashtag returns non-shop content: Combine niche hashtag with #tiktokshop in the same search to anchor on shop-linked posts. Can't determine product price: TikTok Shop prices aren't always in the video — note URL pattern includes product ID which can be cross-referenced manually. All results from one mega-creator: Add max_posts_per_creator = 5 to surface diverse sellers.

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