The Open Geospatial Consortium API family of standards (OGC API) are being developed to make it easy for anyone to provide geospatial data to the web, and are the next generation of geospatial web API standards designed with resource-oriented architecture, RESTful principles and OpenAPI. In addition, OGC APIs are being built for cloud capability and agility. pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the OGC API efforts started in 2018 and provides the capability for organizations to deploy OGC API endpoints using OpenAPI, GeoJSON, and HTML. pygeoapi is open source and released under an MIT license. pygeoapi is built on an extensible plugin framework in support of clean, adaptive data integration (called "providers''). Elasticsearch (ES) is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. The Elasticsearch data provider for pygeoapi is one of the most complete in terms of functionalities and it also includes CQL support with the CQL-JSON dialect, which allows you to take extra advantage of the ES backend. This presentation will provide an overview of OGC APIs, pygeoapi and Elasticsearch integration, and demonstrate usage in a real-world data dissemination environment.