Heavy Equipment Data APIs

We have heavy equipment specification and normalization data, and with our available APIs you can access it with your systems and websites.

Heavy Equipment Specs API

A simple POST request will return a JSON document with all of the specs we have on file for the particular model you are searching for. Spec requests that we can not fufill are moved to the top of the list for updating. Specs are returned in categories such as Body, Braking System, Engine, Dimensions, Hydraulic System and more specific sub-categories like Arm Length, Axles, Bucket Breakout Force, Carry Height, and Weight Distribution Front - loaded.

We make our Heavy Equipment Data available to provide specific machine data to you and our customers. We curently have 402,088 distinct specifications for 18,681 different machines and we update existing specs, and add new spec data every day.

Create an account and start using the Spec API.

Heavy Equipment Specs Sreadsheet Download

Sometimes API access doesn't help you with the problem at hand, and you need a file of all of the data. We can offer our 402,088 data points available in a downloadable Excel document. To inquire about this option, email Teddy McKeon at tmckeonjr@cegltd.com or call 800-523-2200 x170.

Email Us For the Specs as a Downloadable File

Heavy Equipment Normalization API

Every customer brings their own naming conventions to their data. We have all seen the 10 different ways dealers and customers refer to specific machines. Our Normalization API will bring all of the different naming conventions into an industry standard naming format. We currently maintain and update 344,018 names and aliases for the heavy equipment industries. Our API has thousands of naming alternatives, with more being added everyday, to help properly name your equipment categories, manufacturers, and models.

Send us a POST request with your manufacturer, category, and model names and we will return a JSON document with a normalized naming convention.

Create an account and start using the Normalization API.