# World Bank Development Indicators (`wakey7dev/world-bank-indicators`) Actor Fetch normalized development indicators from the World Bank API. 29,500+ indicators (GDP, population, poverty, education, health, climate, trade) across 295 countries. Returns cleaned data with human-readable names. - **URL**: https://apify.com/wakey7dev/world-bank-indicators.md - **Developed by:** [Chris Wakefield](https://apify.com/wakey7dev) (community) - **Categories:** AI, Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ![Chris The Dev](https://raw.githubusercontent.com/chriswakefield87/appstore-screenshot-translator/main/assets/actor-banner.png) ## World Bank Development Indicators Fetch **normalized development indicators** from the World Bank API — 29,500+ indicators across 295 countries with human-readable names, clean values, and structured output. ### Features - 🔍 **29,500+ indicators** — GDP, population, unemployment, inflation, poverty, education, health, environment, trade, and more - 🌍 **295 countries & regions** — Full country name normalization from ISO codes - 📊 **Normalized output** — Indicator codes mapped to readable names with units and categories - ⚡ **Multi-indicator queries** — Fetch multiple indicators across multiple countries in one run - 📅 **Year range filtering** — Optional start/end year to focus on specific periods - 📋 **Human-readable summary** — Formatted table in run log + key-value store OUTPUT ### Input Parameters | Parameter | Type | Required | Description | |---|---|---|---| | `indicatorCodes` | `string[]` | ✅ Yes | World Bank indicator codes (e.g., `NY.GDP.MKTP.CD`) | | `countryCodes` | `string[]` | No | ISO 2-letter country codes (e.g., `US`, `GB`, `CN`). Empty = all countries | | `yearStart` | `string` | No | Start year (e.g., `2020`) | | `yearEnd` | `string` | No | End year (e.g., `2023`) | | `maxResults` | `integer` | No | Max data points to return (default: 500, max: 10000) | ### Common Indicator Codes | Code | Description | Category | |---|---|---| | `NY.GDP.MKTP.CD` | GDP (current USD) | Economy | | `NY.GDP.MKTP.KD.ZG` | GDP Growth (annual %) | Economy | | `NY.GDP.PCAP.CD` | GDP per Capita (current USD) | Economy | | `SP.POP.TOTL` | Population, Total | Population | | `SP.DYN.LE00.IN` | Life Expectancy at Birth | Population | | `SL.UEM.TOTL.ZS` | Unemployment (% of labor force) | Labor | | `FP.CPI.TOTL.ZG` | Inflation, CPI (annual %) | Economy | | `SI.POV.GINI` | Gini Index | Poverty | | `SE.ADT.LITR.ZS` | Adult Literacy Rate | Education | | `IT.NET.USER.ZS` | Internet Users (% of population) | Tech | | `EN.ATM.CO2E.PC` | CO2 Emissions per Capita | Environment | | `SH.XPD.CHEX.GD.ZS` | Health Expenditure (% of GDP) | Health | **Full list**: Browse all indicators at https://data.worldbank.org/indicator ### Example Input ```json { "indicatorCodes": ["NY.GDP.MKTP.CD", "SP.POP.TOTL", "SL.UEM.TOTL.ZS"], "countryCodes": ["US", "GB", "CN", "DE", "JP"], "yearStart": "2020", "yearEnd": "2023", "maxResults": 200 } ```` ### Example Output ``` ========================================================================================== WORLD BANK DEVELOPMENT INDICATORS ========================================================================================== Data Points: 20 GDP (current USD) (USD) — Economy ───────────────────────────────────────────────────────────────────────────────── Country Year Value ────────────────────────────── ────── ──────────────────── China 2023 17,794,781,971,833.20 Germany 2023 4,456,079,436,987.32 Japan 2023 4,212,945,273,882.21 United Kingdom 2023 3,340,660,970,834.16 United States 2023 27,360,935,000,000.00 ``` ### Use Cases - **Economic research** — Compare GDP, inflation, and trade across countries - **Investment analysis** — Screen countries by growth, debt, and market indicators - **Policy research** — Track poverty, education, and health outcomes globally - **Data journalism** — Source clean, authoritative data for visualizations - **AI/ML pipelines** — Feed normalized development data into models and dashboards ### Data Source This Actor fetches data from the **World Bank Data API** (https://api.worldbank.org/v2). All data is licensed under the [Creative Commons Attribution 4.0 (CC-BY 4.0)](https://data.worldbank.org/summary-terms-of-use) license. Free to use — no API key required. Built with ❤️ by [Chris The Dev](https://apify.com/wakey7dev) # Actor input Schema ## `indicatorCodes` (type: `array`): World Bank indicator codes (e.g., NY.GDP.MKTP.CD, SP.POP.TOTL, SL.UEM.TOTL.ZS). Common indicators: NY.GDP.MKTP.CD (GDP), SP.POP.TOTL (Population), SL.UEM.TOTL.ZS (Unemployment), FP.CPI.TOTL.ZG (Inflation), SE.ADT.LITR.ZS (Literacy). ## `countryCodes` (type: `array`): ISO 2-letter country codes (e.g., US, GB, CN, DE). Leave empty for all countries. Max 60 per request. ## `yearStart` (type: `string`): Start year for data range (e.g., 2020). Leave empty for all available years. ## `yearEnd` (type: `string`): End year for data range (e.g., 2023). Leave empty for latest year. ## `maxResults` (type: `integer`): Maximum number of data points to return (default: 500, max: 10000). ## Actor input object example ```json { "indicatorCodes": [ "NY.GDP.MKTP.CD", "SP.POP.TOTL" ], "countryCodes": [ "US", "GB", "CN", "DE", "JP" ], "maxResults": 500 } ``` # Actor output Schema ## `results` (type: `string`): Complete dataset of indicator data points with normalized names. ## `summary` (type: `string`): Human-readable formatted summary table of results. ## `stats` (type: `string`): Aggregate statistics about the fetched data. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "indicatorCodes": [ "NY.GDP.MKTP.CD", "SP.POP.TOTL" ], "countryCodes": [ "US", "GB", "CN", "DE", "JP" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wakey7dev/world-bank-indicators").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "indicatorCodes": [ "NY.GDP.MKTP.CD", "SP.POP.TOTL", ], "countryCodes": [ "US", "GB", "CN", "DE", "JP", ], } # Run the Actor and wait for it to finish run = client.actor("wakey7dev/world-bank-indicators").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "indicatorCodes": [ "NY.GDP.MKTP.CD", "SP.POP.TOTL" ], "countryCodes": [ "US", "GB", "CN", "DE", "JP" ] }' | apify call wakey7dev/world-bank-indicators --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wakey7dev/world-bank-indicators", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "World Bank Development Indicators", "description": "Fetch normalized development indicators from the World Bank API. 29,500+ indicators (GDP, population, poverty, education, health, climate, trade) across 295 countries. Returns cleaned data with human-readable names.", "version": "1.0", "x-build-id": "pmlw44T3flXaBYPvp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wakey7dev~world-bank-indicators/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wakey7dev-world-bank-indicators", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wakey7dev~world-bank-indicators/runs": { "post": { "operationId": "runs-sync-wakey7dev-world-bank-indicators", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wakey7dev~world-bank-indicators/run-sync": { "post": { "operationId": "run-sync-wakey7dev-world-bank-indicators", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "indicatorCodes" ], "properties": { "indicatorCodes": { "title": "Indicator Codes", "type": "array", "description": "World Bank indicator codes (e.g., NY.GDP.MKTP.CD, SP.POP.TOTL, SL.UEM.TOTL.ZS). Common indicators: NY.GDP.MKTP.CD (GDP), SP.POP.TOTL (Population), SL.UEM.TOTL.ZS (Unemployment), FP.CPI.TOTL.ZG (Inflation), SE.ADT.LITR.ZS (Literacy).", "items": { "type": "string" } }, "countryCodes": { "title": "Country Codes", "type": "array", "description": "ISO 2-letter country codes (e.g., US, GB, CN, DE). Leave empty for all countries. Max 60 per request.", "items": { "type": "string" } }, "yearStart": { "title": "Year Start", "type": "string", "description": "Start year for data range (e.g., 2020). Leave empty for all available years." }, "yearEnd": { "title": "Year End", "type": "string", "description": "End year for data range (e.g., 2023). Leave empty for latest year." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of data points to return (default: 500, max: 10000).", "default": 500 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```