ecommerce-product-research

Research ecommerce products and stores using TikTok and Facebook ads, product data, and store intelligence from PipiAds.

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Install skill "ecommerce-product-research" with this command: npx skills add fanyanggod/ecommerce-product-research

Ecommerce Product Research

Use this skill to research ecommerce products and stores through TikTok/Facebook ad signals plus product and store intelligence.

Setup

  1. Visit the official website at https://pipiads.com/ to view real-time dashboard data and product UI.
  2. Visit https://www.pipispy.com/ to get your API key and manage billing/recharge.
  3. Set the environment variable: PIPIADS_API_KEY

When to Use

  • Find ecommerce products heavily advertised on TikTok or Facebook
  • Compare product detail, pricing, landing pages, and storefront patterns
  • Research stores, advertisers, and competitive positioning
  • Validate whether a product or niche is active across both platforms

When NOT to Use

  • The user only wants monitoring workflows
  • The user only wants natural TikTok content
  • The user only wants TikTok Shop-specific analytics

Core Tools

Ads & Products

  • search_ads
  • get_ad_detail
  • search_products
  • get_product_detail
  • search_adlibrary_products
  • get_adlibrary_product_detail

Advertisers & Stores

  • search_advertisers
  • get_advertiser_detail
  • search_stores
  • get_store_detail
  • get_store_competition
  • get_store_product_analysis
  • get_store_region_analysis
  • get_store_data_analysis

Recommended Workflow

  1. Start with search_products or search_ads in the target niche.
  2. Inspect winning candidates with product and ad detail tools.
  3. Use advertiser and store tools to understand who is selling and how broadly they operate.
  4. Summarize pricing, offer pattern, landing-page structure, and competitive density.

Cost Awareness

Each API call consumes credits from your PipiAds account:

  • List/Search: 1 credit per result returned
  • Detail: 1 credit per request (free if queried within 3 days)

Ask for category, price band, region, and platform before running broad ecommerce queries.

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