World Bank Economic Indicators - Free Economic Data API avatar

World Bank Economic Indicators - Free Economic Data API

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Pay per event

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World Bank Economic Indicators - Free Economic Data API

World Bank Economic Indicators - Free Economic Data API

Free API for World Bank economic indicators and macro data. No subscription. Access GDP, inflation, poverty rates, trade data, development metrics. Government data, pay-per-use.

Pricing

Pay per event

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Developer

daehwan kim

daehwan kim

Maintained by Community

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2

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1

Monthly active users

2 days ago

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Real Estate Market Intelligence (CoStar Alt)

Replaces CoStar ($3K-$23K/yr) using FREE government APIs for $0.05/query. 5 modes: market overview, rental analysis, price trends, demographic profile, and investment score. Composite market scoring from HUD, FHFA, FRED, and Census ACS data.

Features

  • Generate real estate market overviews combining HUD, FHFA, and Census ACS data
  • Analyze rental market conditions including vacancy rates and rent burden statistics
  • Track home price trends with FHFA House Price Index data by state and ZIP code
  • Build demographic profiles for any area using Census ACS population and income data
  • Calculate composite Investment Scores combining affordability, appreciation, and demand

Input Parameters

ParameterTypeDescriptionDefault
modestringAnalysis mode: market_overview, rental_analysis, price_trends, demographic_profile, investment_scoremarket_overview
zipCodestring5-digit US ZIP code for analysis (e.g., '90210', '10001')
statestringTwo-letter US state abbreviation (e.g., 'CA', 'NY', 'TX')
countyCodestring5-digit county FIPS code for county-level analysis (e.g., '06037' for Los Angeles)
fredApiKeystringPersonal FRED API key from fred.stlouisfed.org (defaults to DEMO_KEY if not provided)
limitintegerMaximum number of historical data points for time-series data (1-60)12

Output

The actor returns structured JSON data with market scores, price indices, rent statistics, demographic breakdowns, and investment metrics.

Pricing

This actor uses pay-per-event pricing at $0.05 per successful analysis.

Usage

  1. Set your input parameters
  2. Run the actor
  3. Get results from the dataset

API Integration

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('ntriqpro/real-estate-market-intelligence').call({
mode: 'investment_score',
zipCode: '90210',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();