# World Economic Indicators Scraper: GDP, Inflation & More (`scrapemint/world-economic-indicators-scraper`) Actor World Bank economic data for any countries: GDP, GDP per capita, inflation, unemployment, population, life expectancy, trade and ~29,500 more indicators, decades of history. One row per country-indicator-year, enriched with region and income level. Keyless, global, no API key. - **URL**: https://apify.com/scrapemint/world-economic-indicators-scraper.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Economic Indicators Scraper: GDP, Inflation & More Pull clean economic data for any set of countries and any set of indicators, across decades, in one run. Built on the **World Bank Indicators API** — ~265 economies and ~29,500 indicators (GDP, GDP per capita, inflation, unemployment, population, life expectancy, trade, debt, and far more). No API key, no proxy, works for every country on Earth. ### Who it's for - **Analysts, fintech and funds** building country-risk and macro models. - **Researchers, universities and students** who need multi-country panel data without hand-assembling it. - **Consultancies, NGOs, journalists and data-viz teams** producing country comparisons and economic profiles. - **Companies** doing market-entry and expansion analysis. ### Input | Field | What it does | | --- | --- | | `countries` | ISO codes (`US`, `CN`, `IN`…), or `ALL` for every economy, or World Bank aggregates (`WLD`, `EUU`, `LMY`). | | `indicators` | World Bank indicator ids, e.g. `NY.GDP.MKTP.CD` (GDP), `FP.CPI.TOTL.ZG` (inflation). Browse at data.worldbank.org/indicator. | | `startYear` / `endYear` | Year range. Empty = full available history. | | `mostRecentOnly` | Return only the latest value per country-indicator (a current snapshot). | | `skipEmpty` | Skip country-years with missing values (on by default). | | `maxRows` | Cap on data points. Controls cost. | ### Output (one row per country-indicator-year) `country`, `countryCode`, `iso3`, `region`, `incomeLevel`, `indicatorId`, `indicator`, `year`, `value`, `unit`. Each row is enriched with the country's **region** and **income level** (from World Bank metadata), so you can group or filter by region and income without a second data source. ### Common indicator ids | Indicator | Id | | --- | --- | | GDP (current US$) | `NY.GDP.MKTP.CD` | | GDP per capita (current US$) | `NY.GDP.PCAP.CD` | | GDP growth (annual %) | `NY.GDP.MKTP.KD.ZG` | | Inflation, consumer prices (annual %) | `FP.CPI.TOTL.ZG` | | Unemployment (% of labor force) | `SL.UEM.TOTL.ZS` | | Population, total | `SP.POP.TOTL` | | Life expectancy at birth | `SP.DYN.LE00.IN` | ### Pricing Pay per event: **$0.004 per data point** (country-indicator-year). The first **2 rows per run are free**, so you can preview the output at no cost. ### Example ```json { "countries": ["US", "CN", "IN", "BR", "KE"], "indicators": ["NY.GDP.MKTP.CD", "FP.CPI.TOTL.ZG"], "startYear": 2015, "endYear": 2023 } ```` Returns GDP and inflation for those five countries, 2015–2023, one row each. # Actor input Schema ## `countries` (type: `array`): ISO country codes (2- or 3-letter), e.g. US, CN, IN, BR, KE. Use ALL for every economy (~265). You can also use World Bank region/income aggregate codes (e.g. WLD, EUU, LMY). Empty = all. ## `indicators` (type: `array`): World Bank indicator ids. Common ones: NY.GDP.MKTP.CD (GDP), NY.GDP.PCAP.CD (GDP per capita), NY.GDP.MKTP.KD.ZG (GDP growth %), FP.CPI.TOTL.ZG (inflation %), SL.UEM.TOTL.ZS (unemployment %), SP.POP.TOTL (population), SP.DYN.LE00.IN (life expectancy). Browse all at data.worldbank.org/indicator. ## `startYear` (type: `integer`): Earliest year to include (data goes back to 1960 for many series). Empty = no lower bound. ## `endYear` (type: `integer`): Latest year to include. Empty = up to the most recent year available. ## `mostRecentOnly` (type: `boolean`): Return only the single latest available value per country-indicator (ignores the year range). Good for a current snapshot. ## `skipEmpty` (type: `boolean`): Skip country-years where the value is missing (null). Turn off to keep gaps in the timeseries. ## `maxRows` (type: `integer`): Cap on data points returned. Controls total cost. First 2 rows per run are free. ## Actor input object example ```json { "countries": [ "US", "CN", "IN", "BR", "KE" ], "indicators": [ "NY.GDP.MKTP.CD", "NY.GDP.PCAP.CD", "FP.CPI.TOTL.ZG" ], "mostRecentOnly": false, "skipEmpty": true, "maxRows": 200 } ``` # 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 = { "countries": [ "US", "CN", "IN", "BR", "KE" ], "indicators": [ "NY.GDP.MKTP.CD", "NY.GDP.PCAP.CD", "FP.CPI.TOTL.ZG" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/world-economic-indicators-scraper").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 = { "countries": [ "US", "CN", "IN", "BR", "KE", ], "indicators": [ "NY.GDP.MKTP.CD", "NY.GDP.PCAP.CD", "FP.CPI.TOTL.ZG", ], } # Run the Actor and wait for it to finish run = client.actor("scrapemint/world-economic-indicators-scraper").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 '{ "countries": [ "US", "CN", "IN", "BR", "KE" ], "indicators": [ "NY.GDP.MKTP.CD", "NY.GDP.PCAP.CD", "FP.CPI.TOTL.ZG" ] }' | apify call scrapemint/world-economic-indicators-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/world-economic-indicators-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "World Economic Indicators Scraper: GDP, Inflation & More", "description": "World Bank economic data for any countries: GDP, GDP per capita, inflation, unemployment, population, life expectancy, trade and ~29,500 more indicators, decades of history. One row per country-indicator-year, enriched with region and income level. Keyless, global, no API key.", "version": "0.1", "x-build-id": "53NMkCClPjqMaoXnM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~world-economic-indicators-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-world-economic-indicators-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~world-economic-indicators-scraper/runs": { "post": { "operationId": "runs-sync-scrapemint-world-economic-indicators-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~world-economic-indicators-scraper/run-sync": { "post": { "operationId": "run-sync-scrapemint-world-economic-indicators-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "countries": { "title": "Countries", "type": "array", "description": "ISO country codes (2- or 3-letter), e.g. US, CN, IN, BR, KE. Use ALL for every economy (~265). You can also use World Bank region/income aggregate codes (e.g. WLD, EUU, LMY). Empty = all.", "default": [ "US", "CN", "IN", "BR", "KE" ], "items": { "type": "string" } }, "indicators": { "title": "Indicators", "type": "array", "description": "World Bank indicator ids. Common ones: NY.GDP.MKTP.CD (GDP), NY.GDP.PCAP.CD (GDP per capita), NY.GDP.MKTP.KD.ZG (GDP growth %), FP.CPI.TOTL.ZG (inflation %), SL.UEM.TOTL.ZS (unemployment %), SP.POP.TOTL (population), SP.DYN.LE00.IN (life expectancy). Browse all at data.worldbank.org/indicator.", "default": [ "NY.GDP.MKTP.CD", "NY.GDP.PCAP.CD", "FP.CPI.TOTL.ZG" ], "items": { "type": "string" } }, "startYear": { "title": "Start year", "minimum": 1960, "maximum": 2100, "type": "integer", "description": "Earliest year to include (data goes back to 1960 for many series). Empty = no lower bound." }, "endYear": { "title": "End year", "minimum": 1960, "maximum": 2100, "type": "integer", "description": "Latest year to include. Empty = up to the most recent year available." }, "mostRecentOnly": { "title": "Most recent value only", "type": "boolean", "description": "Return only the single latest available value per country-indicator (ignores the year range). Good for a current snapshot.", "default": false }, "skipEmpty": { "title": "Skip empty values", "type": "boolean", "description": "Skip country-years where the value is missing (null). Turn off to keep gaps in the timeseries.", "default": true }, "maxRows": { "title": "Max rows per run", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Cap on data points returned. Controls total cost. First 2 rows per run are free.", "default": 200 } } }, "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 } } } } } } } } } } ```