Extract structured recipe data from transcript text or YouTube URL: recipe name, ingredients with quantity and unit, equipment list, and cooking technique tags. YouTube URL transcription requires yt-dlp installed on the server — if not available the call fails; pass raw transcript text for reliable extraction in all environments. Returns ingredient list ready for match_ingredients_to_products and suggest_affiliate_products. Call this first — both downstream tools reuse its cache. Use for recipe monetization, shoppable recipe creation, and cooking content commerce. Example: recipe_id='chocolate-chip-cookies-v1', transcript='2 cups flour...' → returns {ingredients:[{name:'flour',quantity:'2',unit:'cups',category:'pantry'},...]}.

Match recipe ingredients to purchasable products on Amazon and specialty retailers. Returns affiliate program details (Amazon Associates, ShareASale, Awin), estimated price range, estimated commission rate (2–10%), and substitution alternatives. Commission rates are benchmark estimates — not live affiliate platform data. Use this tool for ingredient-level product details and substitutions; use suggest_affiliate_products for a revenue-ranked shopping list instead. Accepts ingredient list directly or recipe_id from a prior extract_recipe_ingredients call. Use for recipe affiliate monetization and shoppable recipe generation. Example: recipe_id='chocolate-chip-cookies-v1' → returns [{name:'flour',product:'King Arthur All-Purpose Flour',program:'Amazon Associates',estimated_commission_pct:4}].

Generate a revenue-ranked affiliate shopping list for a recipe, sorted by estimated commission potential. Equipment ranks highest (Amazon Associates ~10% commission). Returns items sorted by affiliate score with estimated price range and commission per item. Revenue estimates are algorithmic benchmarks — not live pricing data. Use this tool for ranked shopping lists and blog monetization strategy; use match_ingredients_to_products for ingredient-level product SKUs and substitutions. Accepts ingredient list or recipe_id from extract_recipe_ingredients. Example: recipe_name='Beef Bourguignon'.