discovering-tiktok-shop-sellers-by-niche
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.
- Installs
- 784
- Last 24h
- +10
- Trending rank
- #8732
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill discovering-tiktok-shop-sellers-by-niche- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads discovering-tiktok-shop-sellers-by-niche automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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_TOKENenvironment 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_TOKENmust be set in environment or.envfile.
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.
FAQ
What does the discovering-tiktok-shop-sellers-by-niche skill do?
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.
How do I install discovering-tiktok-shop-sellers-by-niche?
Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill discovering-tiktok-shop-sellers-by-niche in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/discovering-tiktok-shop-sellers-by-niche/ (personal) or .claude/skills/discovering-tiktok-shop-sellers-by-niche/ (project).
Which AI agents can use discovering-tiktok-shop-sellers-by-niche?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is discovering-tiktok-shop-sellers-by-niche safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains discovering-tiktok-shop-sellers-by-niche?
It is published by apidojo-io in apidojo-io/apidojo-skills. It has 784 recorded installs.
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