{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"beaapi retrieves and processes economic data from the U.S. Bureau of Economic Analysis API, returning results as pandas DataFrames for analysis and visualization.","skillfed_tags":["economic-data","government-api","data-retrieval"],"use_cases":["Retrieve quarterly or annual NIPA tables for macroeconomic analysis and forecasting.","Query GDP-by-industry data to analyze sectoral economic performance over time.","Access international trade and investment position data for cross-border economic research.","Search metadata to discover which BEA tables contain specific economic indicators.","Build automated data pipelines that fetch updated economic statistics on a schedule.","Combine BEA data with other sources in a pandas workflow for integrated economic analysis."],"what_it_does":"beaapi is a Python wrapper around the U.S. Bureau of Economic Analysis public data API. It simplifies access to BEA's economic datasets\u2014including NIPA tables, GDP by industry, international trade accounts, and regional data\u2014by providing functions to list available datasets, discover parameters and their allowed values, search metadata by keyword, and retrieve data directly into pandas DataFrames.\n\nThe package handles the HTTP communication and response parsing, so you work with structured data immediately. It requires only pandas as a runtime dependency and supports current Python versions. You supply an API key (obtained free from BEA) and call functions like `get_data()` to fetch specific tables, `get_parameter_list()` to explore what parameters a dataset accepts, and `search_metadata()` to find tables by keyword. The result is always a DataFrame, making downstream analysis straightforward.","worth_installing":"Yes. beaapi is actively maintained, has no known vulnerabilities, installs with minimal friction, and is the official Python interface to BEA's economic data. If you need U.S. economic statistics\u2014GDP, trade, industry output, or regional data\u2014this is the right tool. The only prerequisite is obtaining a free API key."},"id":"beaapi","links":{"html":"https://skillfed.io/packages/beaapi","md":"https://skillfed.io/packages/beaapi.md","pypi":"https://pypi.org/project/beaapi/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-17","license_spdx":null,"license_treatment":"permissive","name":"beaapi","python_support":"supports_current","summary":"BEA API Python package"},"popularity":{"monthly_downloads":153316,"position":10885,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.0"}