# Country Info Scraper (`knotless_cadence/country-info-scraper`) Actor Country data — population, GDP, currencies, languages, timezones. 4+ runs for geo-targeting and market research. 250+ countries. JSON. Custom tool in 48h, $100 pilot. Email: spinov001@gmail.com • Tips: t.me/scraping\_ai - **URL**: https://apify.com/knotless\_cadence/country-info-scraper.md - **Developed by:** [Alex](https://apify.com/knotless_cadence) (community) - **Categories:** Other, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Country Info Scraper — Population, Currencies, Languages & Geography Get comprehensive data for any country in the world. Extract population, area, languages, currencies, timezones, calling codes, borders, flags, and 25+ more fields. Filter by region or subregion, or fetch all 250 countries at once. Powered by the REST Countries API. ### Features - **25+ Data Fields** — population, area, capital, languages, currencies, timezones, and more - **Country Lookup** — search by country name with fuzzy matching - **Region Filtering** — get all countries in Africa, Americas, Asia, Europe, or Oceania - **Subregion Filtering** — narrow down to Northern Europe, South America, Eastern Asia, etc. - **All Countries Mode** — fetch data for all 250 countries in a single run - **Rich Metadata** — flag emojis, flag images, coat of arms, Google Maps links, and border countries - **Governance Data** — UN membership, independence status, driving side, and start of week ### Output Example ```json { "name": "Japan", "officialName": "Japan", "nativeName": "Nihon", "capital": "Tokyo", "region": "Asia", "subregion": "Eastern Asia", "population": 125836021, "area": 377930.0, "languages": ["Japanese"], "currencies": [{ "code": "JPY", "name": "Japanese yen", "symbol": "¥" }], "timezones": ["UTC+09:00"], "callingCode": "+81", "tld": ".jp", "cca2": "JP", "cca3": "JPN", "flag": "🇯🇵", "borders": [], "landlocked": false, "unMember": true, "driveSide": "left", "gini": 32.9, "scrapedAt": "2026-03-18T10:00:00.000Z" } ```` ### Use Cases - **Data Enrichment** — enrich CRM or analytics data with country-level demographics and metadata - **Education & Research** — build datasets for geography, economics, or political science studies - **Localization Planning** — identify languages, currencies, and calling codes for market expansion - **Travel Applications** — populate travel apps with country details, flags, and timezone info - **Business Intelligence** — analyze population, area, and economic indicators across regions ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `countries` | array | `[]` | Country names to look up (empty = all countries) | | `region` | string | `""` | Filter by region (Africa, Americas, Asia, Europe, Oceania) | | `subregion` | string | `""` | Filter by subregion (e.g., "Northern Europe") | ### How It Works The scraper queries the REST Countries API to retrieve detailed country data. It supports three modes: individual country lookup by name, regional filtering by continent or subregion, and a full dump of all 250 countries. Each response is normalized into a clean, flat JSON structure with consistent field names across all countries. # Actor input Schema ## `countries` (type: `array`): Country names to look up (e.g., 'Japan', 'Germany', 'Brazil'). Empty = all countries. ## `region` (type: `string`): Filter by region (Africa, Americas, Asia, Europe, Oceania) ## `subregion` (type: `string`): Filter by subregion (e.g., 'Northern Europe', 'South America', 'Eastern Asia') ## Actor input object example ```json { "countries": [], "region": "", "subregion": "" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("knotless_cadence/country-info-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 = {} # Run the Actor and wait for it to finish run = client.actor("knotless_cadence/country-info-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 '{}' | apify call knotless_cadence/country-info-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotless_cadence/country-info-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Country Info Scraper", "description": "Country data — population, GDP, currencies, languages, timezones. 4+ runs for geo-targeting and market research. 250+ countries. JSON. Custom tool in 48h, $100 pilot. Email: spinov001@gmail.com • Tips: t.me/scraping_ai", "version": "1.0", "x-build-id": "BATqSqpr9QFgU56FB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotless_cadence~country-info-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotless_cadence-country-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/knotless_cadence~country-info-scraper/runs": { "post": { "operationId": "runs-sync-knotless_cadence-country-info-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/knotless_cadence~country-info-scraper/run-sync": { "post": { "operationId": "run-sync-knotless_cadence-country-info-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": "Country Names", "type": "array", "description": "Country names to look up (e.g., 'Japan', 'Germany', 'Brazil'). Empty = all countries.", "default": [], "items": { "type": "string" } }, "region": { "title": "Region", "type": "string", "description": "Filter by region (Africa, Americas, Asia, Europe, Oceania)", "default": "" }, "subregion": { "title": "Subregion", "type": "string", "description": "Filter by subregion (e.g., 'Northern Europe', 'South America', 'Eastern Asia')", "default": "" } } }, "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 } } } } } } } } } } ```