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Metadapi Blog

Articles that help developers get up and running quickly on all of the API's available on Metadapi.

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Unlocking Local Insights: Income by Zip Code

This blog article explores the value of analyzing income by ZIP code for marketers, real estate professionals, and analysts. It outlines how localized income data can drive smarter decisions in targeting, expansion, and performance benchmarking. The post also features a sample Python script that takes a ZIP code, radius, and income threshold as inputs, then identifies nearby ZIP codes with higher-than-threshold average incomes using IRS data. Practical use cases and ideas for extending the script are included to help teams turn raw data into strategic insights.

Getting Income Statistics by Zip Code

Understanding the income statistics of specific areas can be incredibly valuable for businesses, researchers, and policymakers. In this blog post, we'll explore how to obtain income statistics by zip code using the Zip Code API, highlight some sample use cases, and delve into one detailed use case to illustrate its practical application.
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Maximizing Efficiency: Calling APIs in Parallel

In today's interconnected digital landscape, leveraging APIs (Application Programming Interfaces) has become indispensable for developers across various domains. APIs enable seamless integration between different software systems, allowing them to communicate and exchange data effortlessly. However, as applications grow in complexity and scale, the need to optimize API usage becomes increasingly apparent. One powerful strategy to enhance efficiency is by calling APIs in parallel.