BizData API
BizData API
bizdata-web.vercel.appBizData API offers a free, no-API-key alternative to Google Places for finding businesses globally using OpenStreetMap data.
BizData API
bizdata-web.vercel.appBizData API offers a free, no-API-key alternative to Google Places for finding businesses globally using OpenStreetMap data.
BizData API offers a free, no-API-key alternative to Google Places for finding businesses globally using OpenStreetMap data.
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BizData API provides a free REST API to discover businesses by location and category, offering names, addresses, phone numbers, websites, emails, and coordinates. It positions itself as a cost-effective alternative to services like Google Places, requiring no API key, billing account, or rate limits, and is powered by open data from OpenStreetMap. Developers can easily query 37 business categories globally, making it useful for various data-driven applications.
Developers, data scientists, and small to medium-sized businesses building applications that require business location data, especially those looking for a free or low-cost alternative to proprietary APIs.
The API directly addresses the high cost and complexity associated with Google Places, offering a compelling free alternative with global coverage and no API key friction. Its reliance on OpenStreetMap provides a robust, open-source data foundation, potentially attracting a large developer community seeking accessible business data.
AI-assisted scores estimated from public website information only.
This FounderDeck estimate of $250,000 reflects a polished, highly useful developer tool that solves a clear pain point by offering a free alternative to an expensive service like Google Places. While currently free, its strong value proposition, clear market need, and the mention of an "MCP server" suggest significant future monetization potential through premium features, dedicated instances, or enterprise solutions. The estimate is not higher due to the absence of explicit revenue, user traction, or a defined business model on the public site.
Valuation date: 2026-06-05. Estimate generated from public signals.
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