How I Built and Monetized a Currency Exchange Rate API with FastAPI, Deployed it on Render, and Published it on RapidAPI.
The article discusses the process of building and monetizing a Currency Exchange Rate API using FastAPI and Python. It outlines the tech stack used, including the choice of data sources and deployment methods. The author also shares a debugging experience that highlights common issues developers may face when working with APIs.
- ▪The API was built using FastAPI, chosen for its auto-generated interactive documentation.
- ▪The author faced a debugging issue with the initial data source, Frankfurter, which blocked Python requests.
- ▪The API was successfully deployed on Render using a free tier hosting service.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2213000) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } dhritich20baruah Posted on May 30 How I Built and Monetized a Currency Exchange Rate API with FastAPI, Deployed it on Render, and Published it on RapidAPI. #python #fastapi #webdev #tutorial Introduction: In order to build passive income streams, I decided to publish APIs on RapidAPI. The idea is straightforward: build a useful API once, set up freemium pricing tiers, and earn recurring monthly income from subscribers.
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