# World Population Review Scraper (`lulzasaur/worldpopulationreview-scraper`) Actor Scrape demographic data from World Population Review. Get population, growth rate, density, and area for countries, US states, cities, counties, zip codes, continents, and 170+ ranking topics. - **URL**: https://apify.com/lulzasaur/worldpopulationreview-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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.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 Population Review Scraper Scrape demographic data from [World Population Review](https://worldpopulationreview.com). Extract population, growth rates, density, and area for countries, US states, cities, US counties, zip codes, continents, and 170+ ranking topics. ### Supported Pages | Slug | Description | Records | |------|-------------|---------| | `countries` | All countries with population, growth rate, area, density | ~235 | | `states` | US states with population, growth rate, density | 50 | | `cities` | World cities with population and growth rate | ~834 | | `us-cities` | US cities with population, area, density, type | ~381 | | `us-counties` | US counties with population and growth since 2020 | ~500 | | `continents` | Continental population summary | 6 | | `zips` | US zip codes with population, state, city, county | ~500 | | `country-rankings/*` | 170+ ranking topics (GDP, life expectancy, etc.) | varies | | `state-rankings/*` | State-level ranking topics | varies | ### Input Parameters - **pages** (string array) — Page slugs to scrape. Default: `["countries"]` - **maxListings** (integer) — Max records per page. 0 = unlimited. Default: 200 - **proxyConfiguration** (object) — Optional proxy settings ### Example Input ```json { "pages": ["countries", "states", "us-cities"], "maxListings": 500 } ```` ### Output Fields | Field | Type | Description | |-------|------|-------------| | `name` | string | Country, state, city, zip, or entity name | | `population` | number | Current population estimate | | `growthRate` | number | Annual growth rate (decimal, e.g. 0.0087 = 0.87%) | | `area` | number | Area in km2 (countries) or mi2 (US cities) | | `density` | number | Population density per km2 or mi2 | | `region` | string | Parent region (country for cities, "United States" for US data) | | `subregion` | string | State for US cities/counties | | `rank` | number | Population rank | | `worldPercentage` | number | Share of world population (countries) | | `pageType` | string | Source page type | | `sourceUrl` | string | URL the data was scraped from | | `scrapedAt` | string | ISO timestamp of scrape | ### Example Output ```json { "name": "India", "population": 1476630000, "growthRate": 0.0087, "area": 3287590, "density": 496.6484, "region": null, "subregion": null, "rank": 1, "worldPercentage": 0.1845, "pageType": "countries", "sourceUrl": "https://worldpopulationreview.com/countries", "scrapedAt": "2026-04-26T12:00:00.000Z" } ``` ### How It Works The scraper extracts data from inline JSON blobs embedded in World Population Review's Astro-rendered static pages. For ranking sub-pages that use server-rendered HTML tables, it falls back to table row parsing. No browser automation is needed — all data is extracted from the initial HTML response. ### Tips - Combine multiple page slugs in a single run for comprehensive demographic datasets - Set `maxListings` to 0 to get all available records - For ranking topics, browse worldpopulationreview.com/categories to discover available slugs - Growth rates are expressed as decimals (multiply by 100 for percentage) # Actor input Schema ## `pages` (type: `array`): Page slugs to scrape. Main pages: countries, states, cities, us-cities, us-counties, continents, zips. Also supports ranking sub-pages like country-rankings/coffee-consumption-by-country or state-rankings/apple-production-by-state. ## `maxListings` (type: `integer`): Maximum number of records to return per page. Set 0 for unlimited. ## `proxyConfiguration` (type: `object`): Optional proxy to use for requests. ## Actor input object example ```json { "pages": [ "countries", "states", "cities" ], "maxListings": 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 = { "pages": [ "countries", "states", "cities" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/worldpopulationreview-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 = { "pages": [ "countries", "states", "cities", ] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/worldpopulationreview-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 '{ "pages": [ "countries", "states", "cities" ] }' | apify call lulzasaur/worldpopulationreview-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/worldpopulationreview-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "World Population Review Scraper", "description": "Scrape demographic data from World Population Review. Get population, growth rate, density, and area for countries, US states, cities, counties, zip codes, continents, and 170+ ranking topics.", "version": "1.0", "x-build-id": "en7whq9oJDowc2tEn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~worldpopulationreview-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-worldpopulationreview-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~worldpopulationreview-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-worldpopulationreview-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~worldpopulationreview-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-worldpopulationreview-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "pages": { "title": "Pages to scrape", "type": "array", "description": "Page slugs to scrape. Main pages: countries, states, cities, us-cities, us-counties, continents, zips. Also supports ranking sub-pages like country-rankings/coffee-consumption-by-country or state-rankings/apple-production-by-state.", "items": { "type": "string" }, "default": [ "countries" ] }, "maxListings": { "title": "Max listings per page", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Maximum number of records to return per page. Set 0 for unlimited.", "default": 200 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use for requests." } } }, "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 } } } } } } } } } } ```