AgMarkNet Daily Market Prices

AgMarkNet Daily Market Prices

MH Specific

Daily wholesale mandi prices (min, max, modal) for 300+ commodities across Maharashtra APMCs. Also available via CEDA Ashoka cleaned API (2000-2023)

Build a price prediction model for Maharashtra agricultural markets that forecasts commodity prices based on historical trends.
Homepage

Quick Start

# Download from https://agmarknet.gov.in/
import pandas as pd
df = pd.read_csv('agmarknet_prices.csv')
mh = df[df['State'] == 'Maharashtra']
print(f"Maharashtra records: {len(mh)}")
print(mh.groupby('Commodity')['Modal_Price'].mean().sort_values(ascending=False).head(10))
Modality
Tabular (CSV/API)
Size
Millions of daily price records
License
Format
CSV
Language
en
Update Frequency
static
Organization
Directorate of Marketing & Inspection, Government of India

Schema

FieldTypeDescription
marketstringMarket/mandi name
commoditystringAgricultural commodity name
varietystringVariety or grade of commodity
arrival_datedateDate of market arrival
min_pricefloatMinimum price in Rs/quintal
max_pricefloatMaximum price in Rs/quintal
modal_pricefloatMost common trading price in Rs/quintal

Build With This

Create a farmer-facing mobile app showing real-time mandi prices across Maharashtra with best-market recommendations
Develop a price anomaly detector that alerts authorities about unusual price movements indicating market manipulation
Build a crop selling timing advisor that recommends optimal sell dates based on seasonal price patterns

AI Use Cases

Price forecastingmarket volatility analysisfarmer advisory chatbots
Last verified: 2026-03-07