1 Best APIs for Price estimation in Nigeria

We've analyzed and compared the top 1 API providers supporting Price estimation for Nigerian developers and businesses. Find the right infrastructure fit for your startup below.

Written by Editorial Staffs as at 22nd June, 2026

All APIs with Price estimation

1 of 1 selected
Feature
Spoonacular API
PricingFree tier with 150 points/day; paid plans from $29/month for higher quotas
Recipe search
Yes
Nutritional data
Yes
Ingredient parsing
Yes
Meal planning
Yes
Price estimation
Yes
View Details
++++
Spoonacular API

Spoonacular API

Spoonacular API is one of the most comprehensive food and recipe APIs available, providing access to over 1 million recipes along with detailed nutritional analysis, ingredient parsing, meal planning, and grocery list generation. Unlike simpler recipe databases that only store recipe text, Spoonacular performs active nutritional computation — calculating calories, macronutrients, vitamins, minerals, and allergen flags for each recipe based on ingredient composition and serving size. Recipe search is the primary entry point and offers extensive filtering options. Developers can search by keyword, cuisine type, diet type (vegetarian, vegan, gluten-free, dairy-free, keto), maximum preparation time, maximum calories, included or excluded ingredients, and meal type (breakfast, lunch, dinner, snack, dessert). Cuisine filtering covers Nigerian-relevant categories including African cuisine, as well as Mediterranean, Asian, American, and European categories. The combination of diet and ingredient filters makes it possible to build highly personalized recipe recommenders. The nutritional analysis features are what set Spoonacular apart from free alternatives. Each recipe response includes complete nutrition facts per serving: calories, carbohydrates, protein, fat, saturated fat, fiber, sugar, sodium, vitamins A, C, D, E, K, B6, B12, folate, calcium, iron, potassium, and magnesium. This granular data supports applications that help users meet specific dietary goals — Nigerian diabetes management apps, weight loss platforms, and sports nutrition tools all require accurate nutritional data that goes beyond simple calorie counts. Ingredient parsing converts raw text ingredient strings (like "2 cups all-purpose flour") into structured data with ingredient name, quantity, unit, and preparation notes. This parsing capability allows applications to accept user-submitted recipes in free-text format and automatically extract structured ingredient data for shopping list generation and nutritional computation. Meal planning endpoints generate complete weekly meal plans that satisfy specified calorie and macronutrient targets, with automatic shopping list generation organized by supermarket aisle category. Nigerian health and wellness apps can use this to deliver nutritionist-quality meal plans to users at scale without requiring individual consultation with a dietitian. The wine and cocktail databases are separate API offerings from Spoonacular that complement the core recipe product. Wine pairing recommendations suggest appropriate wine types for specific dishes — Nigerian upscale restaurant apps can use wine pairing data to enhance their menu experience. The cocktail database with ingredient lists and preparation instructions is useful for bar management apps and mixology platforms. For Nigerian corporate catering services and event management companies, Spoonacular's meal planning API provides the foundation for building scalable menu planning tools. When an event company needs to plan menus for 50 different dietary combinations (vegetarian, gluten-free, diabetic-friendly variations of a wedding buffet), the meal planning endpoint can generate compliant options systematically. This automation replaces hours of manual dietary cross-referencing with API calls that return validated, nutritionally-analyzed menu options meeting the specified dietary constraints. Spoonacular's Cooking Equipment API identifies the kitchen tools and appliances required for each recipe — oven, blender, frying pan, mortar and pestle. For Nigerian cooking apps that serve users across different household kitchen setups, filtering recipes by available equipment ensures recipe suggestions are actually executable with what the user has at home. A user without an oven gets different recipe suggestions than one with full kitchen appliances.