Tiktok Product Finder avatar
Tiktok Product Finder

Pricing

Pay per event

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Tiktok Product Finder

Tiktok Product Finder

Developed by

Salman Ahmed

Salman Ahmed

Maintained by Community

πŸ” Advanced TikTok Shop product search & analysis actor. Find trending products with smart filters, market insights, trending scores & business metrics. Perfect for e-commerce research & competitive intelligence.

5.0 (1)

Pricing

Pay per event

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2

2

Last modified

a day ago

πŸ›οΈ TikTok Product Finder

An advanced Apify actor for searching and analyzing TikTok Shop products with comprehensive market insights, trending scores, and business metrics.

πŸš€ Features

Core Functionality

  • Advanced Product Search: Search TikTok Shop products by keywords, categories, and filters
  • Comprehensive Analytics: Detailed market analysis with trending scores, viral metrics, and business insights
  • Smart Filtering: Filter by price range, trending score, units sold, and categories
  • Market Intelligence: Competition analysis, growth potential, and risk assessment

Data Points Analyzed

  • Sales Performance: Units sold, revenue (GMV), conversion rates
  • Content Metrics: Video count, creator count, engagement rates
  • Market Position: Trending scores, viral potential, marketability
  • Business Intelligence: ROI estimates, profit potential, break-even analysis
  • Competitive Analysis: Market saturation, competition levels, differentiation potential

πŸ“Š Output Data Structure

Basic Product Information

{
"product_id": "1729415053505106876",
"name": "tarte best-sellers trending trio - lip plump gloss, mascara & eye pencil set",
"description": "Complete beauty set with trending products",
"price_value": 39.00,
"price_display": "$39.00",
"original_price": 49.00,
"discount_percentage": 20
}

Performance Metrics

{
"units_sold": 307425,
"gmv": 26962,
"video_count": 36,
"creator_count": 12,
"trending_score": 85,
"viral_score": 78,
"marketability_score": 92,
"competition_score": 65,
"overall_score": 87
}

Market Analysis

{
"market_position": "popular-choice",
"target_audience": {
"primary": "beauty-enthusiasts",
"demographics": ["18-35", "beauty-conscious"],
"interests": ["beauty", "skincare", "makeup"]
},
"seasonal_trends": ["spring", "summer"],
"growth_potential": {
"score": 78,
"level": "high",
"factors": ["trending-momentum", "category-growth"]
}
}

Business Intelligence

{
"profit_potential": {
"profit_per_unit": 23.40,
"total_profit": 7193691,
"profit_margin": 60,
"cost_estimate": 15.60
},
"roi_estimate": {
"roi_percentage": 233,
"payback_period_days": 15,
"investment_required": 2158107
},
"break_even_analysis": {
"break_even_units": 667,
"break_even_revenue": 26013,
"break_even_days": 67
}
}

πŸ”§ Configuration

Required Parameters

  • query (string): Search term or keywords

Optional Parameters

  • region (string): 'us' or 'uk' (default: 'us')
  • limit (integer): Maximum results (default: 50, max: 200)
  • includeDetails (boolean): Include detailed analytics (default: true)
  • minTrendingScore (integer): Minimum trending score filter (0-100)
  • minUnitsSold (integer): Minimum units sold filter
  • category (string): Category filter (e.g., 'beauty', 'electronics')
  • priceRange (object): Min/max price filter
  • maxRetries (integer): Retry attempts (default: 3)
  • delayBetweenRequests (integer): Request delay in ms (default: 1000)

πŸ“ˆ Use Cases

1. Product Research

{
"query": "wireless headphones",
"region": "us",
"minTrendingScore": 70,
"priceRange": {
"min": 50,
"max": 200
}
}

2. Market Analysis

{
"query": "skincare",
"region": "us",
"includeDetails": true,
"category": "beauty",
"limit": 100
}

3. Competitive Intelligence

{
"query": "fitness gear",
"region": "uk",
"minUnitsSold": 1000,
"includeDetails": true
}

4. Trend Discovery

{
"query": "home decor",
"region": "us",
"minTrendingScore": 80,
"limit": 25
}

🎯 Scoring System

  • Sales Performance (40%): Units sold and revenue
  • Content Activity (20%): Video count and creator engagement
  • Revenue Performance (25%): Gross merchandise value
  • Creator Diversity (15%): Number of unique creators

Viral Score (0-100)

  • Sales per Video: Conversion efficiency
  • Creator Diversity: Content variety
  • Content Volume: Video frequency

Marketability Score (0-100)

  • Price Competitiveness (30%): Market positioning
  • Category Popularity (25%): Market demand
  • Sales Volume (25%): Market validation
  • Brand Recognition (20%): Market presence

Competition Score (0-100)

  • Creator Count: Market saturation
  • Video Count: Content competition
  • Category Competition: Market density

πŸ“Š Market Insights

The actor provides comprehensive market insights including:

  • Market Summary: Average prices, trending scores, sales volumes
  • Top Categories: Most popular product categories
  • Market Opportunities: Price gaps, category gaps, trending potential
  • Risk Assessment: Low sales, high competition, unclear positioning
  • Growth Potential: Sales velocity, market saturation, expansion opportunities

πŸ” Advanced Analytics

When includeDetails is enabled, additional analytics include:

  • Sales Velocity: Daily, weekly, monthly sales trends
  • Price Elasticity: Market sensitivity to price changes
  • Competitor Analysis: Competition levels and market saturation
  • Market Saturation: Content density and market maturity
  • Growth Potential: Expansion opportunities and market gaps
  • Risk Assessment: Potential challenges and market risks

πŸš€ Getting Started

  1. Deploy the Actor: Upload to Apify platform
  2. Configure Input: Set your search parameters
  3. Run the Actor: Execute with your desired configuration
  4. Analyze Results: Review comprehensive product and market data
  5. Export Data: Download results in JSON format

πŸ“ Example Output

The actor returns structured data with:

  • Individual product records with detailed analytics
  • Market summary statistics
  • Category breakdowns
  • Shop information
  • Performance metrics
  • Business intelligence
  • Risk assessments

πŸ”§ Technical Details

  • Runtime: Node.js 18+
  • Dependencies: Apify SDK v3
  • API Source: Social1.ai TikTok Shop data
  • Rate Limiting: Configurable delays between requests
  • Error Handling: Automatic retries with exponential backoff
  • Data Quality: Quality scoring for each product

πŸ“ž Support

For issues, questions, or feature requests:

  • Create an issue on GitHub
  • Contact the Social1 team
  • Check the Apify documentation

Built with ❀️ by the Social1 Team