Fin2Dev Blog / Financial API Guides / Agricultural Commodities Price API – Coffee, Wheat, Corn & More

Agricultural Commodities Price API – Coffee, Wheat, Corn & More

Agricultural Commodities Price API dashboard showing real-time coffee, wheat, corn, and soybean prices with JSON data integration
Real-time agricultural commodity prices including coffee, wheat, corn, and soybeans with API access and JSON integration.

An agricultural commodities price API provides structured access to real-time and historical crop and food commodity prices, including coffee, wheat, corn, soybeans, sugar, cocoa, cotton, rice, and other agricultural markets. These commodities play a key role in food production, global trade, supply chains, and inflation analysis.

This guide explains how agricultural commodity price data works, how it is structured in APIs, and how developers use it in market dashboards, trading systems, procurement tools, food analytics platforms, and financial applications.

In practice, agricultural commodity data is used to monitor crop price movements, compare food market trends, analyze supply chain risks, and track long-term demand across global agricultural markets.


Typical Agricultural Commodity Data Structure

Agricultural commodity price data is usually delivered as structured JSON objects. Each record represents a single price snapshot for a specific crop, food product, or agricultural commodity.

A typical agricultural commodity response includes the following parameters:

  • commodity_name – crop or agricultural commodity identifier
  • commodity_unit – measurement unit such as USD per bushel, pound, ton, or kilogram
  • commodity_price – latest quoted price
  • price_change_day – daily price change
  • percentage_day – daily percentage change
  • percentage_week – weekly percentage change
  • percentage_month – monthly percentage change
  • percentage_year – yearly percentage change
  • datetime – timestamp of the price update

This structure allows developers to compare multiple agricultural commodities, build price dashboards, and integrate crop market data into business workflows.


Key Agricultural Commodities Covered by APIs

Agricultural commodities APIs can cover a broad range of crop and food commodity markets, including coffee, wheat, corn, soybeans, sugar, cocoa, cotton, rice, and other agricultural products. The most common use cases focus on commodities that influence food prices, agricultural production, global trade, and supply chain planning.

Coffee

Coffee price data is widely used by traders, roasters, food companies, and analysts who monitor soft commodity markets and global demand.

Wheat

Wheat prices are important for food production, grain markets, inflation tracking, and international agricultural trade.

Corn

Corn is used in food production, animal feed, ethanol, and industrial processing. As a result, corn price data is important for both agricultural and energy-related analysis.

Soybeans

Soybean prices are closely followed in global food, feed, and vegetable oil markets. They are also important for trade analysis and agricultural supply chains.

Sugar, Cocoa, Cotton and Rice

Sugar, cocoa, cotton, and rice price data helps analysts track food, textile, and consumer goods supply chains across global markets.


How Agricultural Price Data Is Used

Agricultural commodity price data supports many financial, industrial, and operational workflows.

Food Market Analytics

Analysts use agricultural prices to monitor food inflation, crop market volatility, and global supply-demand trends.

Trading and Commodity Research

Traders use coffee, wheat, corn, soybeans, and sugar prices to evaluate commodity market trends and build trading models.

Procurement and Supply Chains

Food producers and procurement teams use agricultural commodity data to monitor input costs and prepare for supplier price changes.

Agricultural Market Monitoring

Research platforms use crop price data to track weather impact, harvest expectations, export trends, and long-term food market cycles.


Example Agricultural Commodity Price Data Response

Below is an example of how multiple agricultural commodity prices may appear in JSON format.

{
  "output": [
    {
      "commodity_name": "coffee",
      "commodity_unit": "usd/lb",
      "commodity_price": "3.42",
      "price_change_day": "0.04",
      "percentage_day": "1.18%",
      "datetime": "2026-05-11T12:00:00.000"
    },
    {
      "commodity_name": "wheat",
      "commodity_unit": "usd/bu",
      "commodity_price": "6.25",
      "price_change_day": "-0.08",
      "percentage_day": "-1.26%",
      "datetime": "2026-05-11T12:00:00.000"
    },
    {
      "commodity_name": "corn",
      "commodity_unit": "usd/bu",
      "commodity_price": "4.71",
      "price_change_day": "0.03",
      "percentage_day": "0.64%",
      "datetime": "2026-05-11T12:00:00.000"
    }
  ]
}

Example Agricultural Data Request

To retrieve agricultural commodity price data, you can send a simple API request. For example, the following request retrieves coffee data:

https://apidata.fin2dev.com/v1/commodities?key=YOUR_API_KEY&commodity_name=coffee

Example API Integration

The following examples show how developers can request coffee price data using Python and PHP.

Python Example

import requests

url = "https://apidata.fin2dev.com/v1/commodities"
params = {"key":"YOUR_API_KEY","commodity_name":"coffee"}

data = requests.get(url, params=params).json()

print(data["result"]["output"])

PHP Example

<?php

$url = "https://apidata.fin2dev.com/v1/commodities?key=YOUR_API_KEY&commodity_name=coffee";

$response = file_get_contents($url);
$data = json_decode($response, true);

print_r($data["result"]["output"]);

?>

Live Agricultural Price Data Example

For example, a compact response from an agricultural commodities price API may include the output field with current price data for a selected crop or food commodity.

{
  "output": [
    {
      "commodity_name": "coffee",
      "commodity_unit": "usd/lb",
      "commodity_price": "3.42",
      "price_change_day": "0.04",
      "percentage_day": "1.18%",
      "percentage_week": "3.25%",
      "percentage_month": "-2.14%",
      "percentage_year": "28.60%",
      "datetime": "2026-05-11T12:00:00.000"
    }
  ]
}

Start Using Agricultural Commodities Price API

Agricultural commodities data is included in all plans.
Agricultural prices are available through the Fin2Dev Commodity Prices API, including Coffee, Wheat, Corn, Soybeans, Sugar, Cocoa, Cotton and other food commodities.

Start with a small plan, test real-time and historical agricultural commodity price data in JSON format, then scale as your application grows.

Basic

Entry plan for testing
Intro offer
$9
  • 500 calls included
  • 10 calls per minute

Premium

For scaling applications
Higher volume
$49
  • 10,000 calls included
  • 30 calls per minute
Note: This is a simplified pricing overview for quick comparison. Full plan details can be found on the pricing page.

Agricultural Commodities Price API vs Commodity Price API

An agricultural commodities price API focuses on crop and food-related commodities such as coffee, wheat, corn, soybeans, sugar, cocoa, cotton, rice, and other agricultural products. Meanwhile, a broader Commodity Price API provides access to agriculture, metals, energy, precious metals, and other commodity markets.

If your application focuses only on agricultural markets, an agriculture-focused integration may be enough. However, for multi-asset systems, a full commodity API provides more flexibility.


Related Commodity APIs

Agricultural commodity data is often used alongside other commodity APIs to build broader market data platforms, procurement tools, and analytics systems.


Frequently Asked Questions

What is an agricultural commodities price API?

An agricultural commodities price API gives developers structured access to crop and food commodity prices, including coffee, wheat, corn, soybeans, sugar, cocoa, cotton, rice, and other agricultural products.

Which agricultural commodities can I track with an API?

Commonly tracked agricultural commodities include coffee, wheat, corn, soybeans, sugar, cocoa, cotton, rice, oats, and other crop or food-related commodities.

Can I use agricultural price data for supply chain monitoring?

Yes, food producers, procurement teams, traders, and analytics platforms use agricultural commodity data to monitor raw material costs, track volatility, and support supply chain decisions.


If you need access to multiple commodities including agriculture, metals, energy, precious metals, and industrial inputs, you can explore the full Commodity Price API.

Start Using Agricultural Price Data

Access real-time and historical agricultural commodity price data via Fin2Dev APIs.

Explore Commodity Price API