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How to Query Remote Jobs, Public Tenders, and City Populations with a Single API

Finding reliable public data for developer projects often means stitching together half a dozen brittle scrapers or signing up for multiple paid services. I built a consolidated Data-as-a-Service (DaaS) platform that groups three commonly needed datasets behind a fast, single endpoint interface: Remote Tech Jobs & Normalized Salaries: Real-time job feeds categorized by role and stack with salary…

Developer projects now have access to a unified Data-as-a-Service (DaaS) platform that simplifies the retrieval of essential datasets through a single, fast endpoint. This innovative solution unites three crucial resources: remote tech jobs and salary benchmarks, government procurement tenders, and global city demographics.

The platform's core features include a real-time job feed categorized by role and technology stack, providing developers with up-to-date salary information to inform their hiring decisions. Additionally, it offers active public sector RFPs and contracting notices, empowering businesses to engage with government procurement processes effortlessly.

Furthermore, the DaaS platform delivers an extensive database of over 48,000 cities, complete with geographic coordinates, population metrics, and the ability to perform radius searches. This wealth of geographic data proves invaluable for urban planning, market analysis, and strategic decision-making.

Under the hood, the platform runs on FastAPI, a high-performance web framework, and is executed within a Docker container for seamless deployment and scalability. The database of choice is SQLite, equipped with compound indexes to ensure sub-millisecond retrieval speeds, guaranteeing rapid access to the vital data developers need.

Security is upheld through Cloudflare Tunnel, which establishes a direct tunnel to RapidAPI, enabling robust authentication and rate limiting to protect against unauthorized access and maintain optimal service performance.

To illustrate the ease of use, a quick Python example demonstrates how to query the platform for population data in a specific city. By calling the endpoint with the appropriate parameters, developers can effortlessly retrieve the desired information, showcasing the platform's simplicity and efficiency.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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