Livestock Commodities Prices API
Rediscover the data
Livestock Commodities Prices API by Commoditic provides you with spot and historical livestock commodities prices data. Our livestock commodities prices data is accessible via JSON REST API and it covers the most fundamental marketable livestock and cattle commodities including beef, poultry, feeder cattle, live cattle, lean hogs, eggs and salmon. More livestock and meat commodities are being uploaded to Commoditic’s Database.
List of Livestock Commodities
Use Cases of Livestock Commodities Prices Data
Commoditic livestock commodities prices data is often used as a tool to understand the global meat consumption market. As the meat industry is expected to rise sharply to one trillion U.S. dollars by 2025, knowledge of the historical, real-time and future prices of feeder cattle, live cattle and poultry may give you an advantage when making potential trading deals with cattle breeders and producers. Certainly, a database accessed via API for getting livestock commodities prices can replace an in-house database for which you need to spend hours to find the data.
Data Delivery Methods
Developer Documentation
There are two primary ways to request agricultural commodities pricing data. You can choose either API as a data delivery tool, or Excel and CSV files as downloadable databases.
JSON API & SDKs
Agricultural Commodities Prices API by Commoditic is a JSON REST API. However, you can use it in several programming languages: Javascript, JQuery, VueJS, Angular, JAVA, PHP, NodeJS, Python, Go, Ruby, C#, R, Strest, Rust, Swift and Scala.
Downloadable Databases in Excel and CSV files
In case you are not a software engineer or you simply don’t get along well with API, then you can request agricultural prices data as downloadable databases in Excel or CSV files.
To make an API request for the price of a livestock commodity, you have to use the key filtering parameter “name” in the API URL Path.
Once you have selected the commodity name, you will get an API response for the price of the respective livestock commodity. The output contains data about the commodity category, its name, unit, price, day price change, day percentage change, weekly percentage change, monthly percentage change, yearly percentage change and date.