Mock sample for your project: Clubhouse API

Semantria applies Text and Sentiment Analysis to tweets, facebook posts, surveys, reviews or enterprise content.

API Reference: The StatSocial API is organized around REST. Our API is designed to have predictable, resource-oriented URLs and to use HTTP response codes to indicate API errors. We use built-in HTTP features, like HTTP authentication and HTTP verbs, which can be understood by off-the-shelf HTTP clients, and we support cross-origin resource sharing to allow you to interact securely with our API from a client-side web application (remember that you should never expose your secret API key in any public website's client-side code). JSON will be returned in all responses from the API, including errors (though if you're using API bindings, we will convert the response to the appropriate language-specific object). Contact [email protected] to obtain a test API key

Clubhouse API

Social media management for marketers and agencies

RiteKit API is based on REST principles.
Authentication uses standard OAuth 2.0 process
##Getting started
Sign up for RiteKit
Go to developer dashboard
Click "Create a token" button to get your Client ID and Client secret
When you reach your free limit of calls per month, upgrade to paid tiers
Options for authorizing API Calls
Using Client ID directly
You can directly connect to our API using your client ID by sending it as a GET query parameter. This option is simple (no need for oAuth) but it should be used only in case the Client ID is not exposed publicly.
GET https://api.ritekit.com/v1/stats/multiple-hashtags?tags=php&client_id=292c6912e7710c838347ae178b4a

Access Forem articles, users and other resources via API.
For a real-world example of Forem in action, check out DEV.
All endpoints that don't require authentication are CORS enabled.
Dates and date times, unless otherwise specified, must be in
the RFC 3339 format.

Twitter API v2 available endpoints

The spoonacular Nutrition, Recipe, and Food API allows you to access over 380,000 recipes, thousands of ingredients, 80,000 food products, and 100,000 menu items. Our food ontology and semantic recipe search engine makes it possible to search for recipes using natural language queries, such as "gluten free brownies without sugar" or "low fat vegan cupcakes." You can automatically calculate the nutritional information for any recipe, analyze recipe costs, visualize ingredient lists, find recipes for what's in your fridge, find recipes based on special diets, nutritional requirements, or favorite ingredients, classify recipes into types and cuisines, convert ingredient amounts, or even compute an entire meal plan. With our powerful API, you can create many kinds of food and especially nutrition apps.
Special diets/dietary requirements currently available include: vegan, vegetarian, pescetarian, gluten free, grain free, dairy free, high protein, whole 30, low sodium, low carb, Paleo, ketogenic, FODMAP, and Primal.

API Reference — Labs v2

Medium’s unofficial API documentation using OpenAPI specification.
Official API
Official API document can also be viewed for most up to date API spec at https://github.com/Medium/medium-api-docs.
Developer Blog - Welcome to the Medium API