# World Bank — Economic Indicators & Country Data (`omao/worldbank`) Actor Fetch World Bank development indicators (GDP, population, inflation, and 1,400+ more) for any country and year range into clean JSON: country, indicator, year and value. Powered by the official World Bank API. No API key. - **URL**: https://apify.com/omao/worldbank.md - **Developed by:** [Marouane Oulabass](https://apify.com/omao) (community) - **Categories:** Developer tools, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 datapoints This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## World Bank — Economic Indicators & Country Data to JSON **Fetch World Bank development indicators for any country and year range — as clean JSON.** Pick indicators (GDP, population, inflation, and 1,400+ more) and countries, and get back a tidy row per data point: country, indicator, year and value. Powered by the official World Bank API — no API key. The easy way to build economic and development datasets for analysis and dashboards. ### Who uses this - 📊 **Economists & analysts** — pull GDP, inflation, population and more. - 💼 **Finance & research teams** — build country and time-series datasets. - 🏛️ **Policy & NGO researchers** — study development indicators across nations. - 🤖 **Data & AI pipelines** — feed clean macro data into your models. - 🧑‍💻 **Developers** — a clean economic-data endpoint by indicator and country. ### What you get — one clean row per (country, indicator, year) | Field | Description | |---|---| | `countryName` + `countryId` | Country | | `indicatorId` + `indicatorName` | Indicator | | `year` | Observation year | | `value` | Indicator value (null if missing) | | `unit` | Unit of measure | | `obsStatus` | Observation status | | `decimal` | Decimal precision | | `ok`, `scrapedAt` | Status & provenance | ### Example **Input** ```json { "indicators": ["NY.GDP.MKTP.CD", "SP.POP.TOTL"], "countries": ["USA", "FRA", "CHN"], "dateFrom": 2010, "dateTo": 2023, "skipNullValues": true } ```` *(leave `countries` empty for ALL countries)* **Output (one item)** ```json { "countryName": "France", "countryId": "FR", "indicatorId": "SP.POP.TOTL", "indicatorName": "Population, total", "year": 2022, "value": 68170228 } ``` ### Why this actor - ✅ **Official source** — the World Bank API, always current. - 📈 **1,400+ indicators** — GDP, population, inflation, trade and more. - 🌍 **Any country or all** — pick codes or fetch every country. - 🗓️ **Time series** — set a year range for trends. - ⚡ **Fast & affordable** — pay only per data point returned. No API key. ### Input options - `indicators` *(required)* — World Bank indicator codes (e.g. `NY.GDP.MKTP.CD`). - `countries` — ISO country codes; leave empty for all countries. - `dateFrom` / `dateTo` — year range. - `skipNullValues` — skip missing observations. - `maxResults` — cap total data points. ### FAQ **Where do I find indicator codes?** On the World Bank data site (e.g. `NY.GDP.MKTP.CD` for GDP, `SP.POP.TOTL` for population). **Can I get all countries?** Yes — leave `countries` empty to fetch every country and aggregate. **Do I get a time series?** Yes — set `dateFrom`/`dateTo` for a range of years. **How fresh is the data?** Live from the World Bank API on every run (includes a retry for transient hiccups). **Can I export to CSV/Excel/Google Sheets?** Yes — the dataset exports to JSON, CSV, Excel and HTML, or pull it via the API. **What does it cost?** Pay-per-data-point — you're only charged for data points actually returned. *** *Tip: fetch one indicator for all countries and one year to build an instant global comparison table.* # Actor input Schema ## `indicators` (type: `array`): World Bank indicator codes. E.g. NY.GDP.MKTP.CD (GDP), SP.POP.TOTL (population), FP.CPI.TOTL.ZG (inflation). ## `countries` (type: `array`): ISO country codes (2 or 3 letters), e.g. USA, FRA, CHN. Leave empty for ALL countries. ## `dateFrom` (type: `integer`): Start year (inclusive). Leave empty for all available years. ## `dateTo` (type: `integer`): End year (inclusive). ## `skipNullValues` (type: `boolean`): Skip data points with no value (missing observation). ## `maxResults` (type: `integer`): Cap the total number of data points. ## `healthCheckMode` (type: `boolean`): Internal monitoring: run a canary query and FAIL if broken (no billing). ## Actor input object example ```json { "indicators": [ "SP.POP.TOTL", "FP.CPI.TOTL.ZG" ], "countries": [ "DEU", "JPN", "BR" ], "dateFrom": 2010, "dateTo": 2023, "skipNullValues": false, "maxResults": 5000, "healthCheckMode": false } ``` # Actor output Schema ## `dataPoints` (type: `string`): All indicator observations (country, year, value). # 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 = { "indicators": [ "NY.GDP.MKTP.CD" ], "countries": [ "USA", "FRA", "CHN" ] }; // Run the Actor and wait for it to finish const run = await client.actor("omao/worldbank").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 = { "indicators": ["NY.GDP.MKTP.CD"], "countries": [ "USA", "FRA", "CHN", ], } # Run the Actor and wait for it to finish run = client.actor("omao/worldbank").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 '{ "indicators": [ "NY.GDP.MKTP.CD" ], "countries": [ "USA", "FRA", "CHN" ] }' | apify call omao/worldbank --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=omao/worldbank", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "World Bank — Economic Indicators & Country Data", "description": "Fetch World Bank development indicators (GDP, population, inflation, and 1,400+ more) for any country and year range into clean JSON: country, indicator, year and value. Powered by the official World Bank API. No API key.", "version": "0.1", "x-build-id": "Yz1S9epJQwthee4or" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/omao~worldbank/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-omao-worldbank", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/omao~worldbank/runs": { "post": { "operationId": "runs-sync-omao-worldbank", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/omao~worldbank/run-sync": { "post": { "operationId": "run-sync-omao-worldbank", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "indicators" ], "properties": { "indicators": { "title": "Indicators", "type": "array", "description": "World Bank indicator codes. E.g. NY.GDP.MKTP.CD (GDP), SP.POP.TOTL (population), FP.CPI.TOTL.ZG (inflation).", "items": { "type": "string" } }, "countries": { "title": "Countries", "type": "array", "description": "ISO country codes (2 or 3 letters), e.g. USA, FRA, CHN. Leave empty for ALL countries.", "items": { "type": "string" } }, "dateFrom": { "title": "Year from", "type": "integer", "description": "Start year (inclusive). Leave empty for all available years." }, "dateTo": { "title": "Year to", "type": "integer", "description": "End year (inclusive)." }, "skipNullValues": { "title": "Skip null values", "type": "boolean", "description": "Skip data points with no value (missing observation).", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Cap the total number of data points.", "default": 5000 }, "healthCheckMode": { "title": "Health-check mode", "type": "boolean", "description": "Internal monitoring: run a canary query and FAIL if broken (no billing).", "default": false } } }, "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 } } } } } } } } } } ```