# Numbeo Cost of Living Scraper (`sheshinmcfly/numbeo-cost-of-living-scraper`) Actor Scrape cost of living price data by city from Numbeo. Returns itemized prices for food, rent, transportation, utilities, and more — no login required. - **URL**: https://apify.com/sheshinmcfly/numbeo-cost-of-living-scraper.md - **Developed by:** [Sheshinmcfly](https://apify.com/sheshinmcfly) (community) - **Categories:** Travel, Lead generation, Automation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 ## Numbeo Cost of Living Scraper Extract **cost of living prices by city** from [Numbeo](https://www.numbeo.com/cost-of-living/), the world's largest crowd-sourced database of prices and quality of life data. No login required — all data is publicly available. Returns itemized prices for food, rent, transportation, utilities, salaries, and more — organized by category for each city you query. --- ### What data do you get? | Field | Type | Example | |-------|------|---------| | `city` | string | `"New York"` | | `category` | string | `"Restaurants"` | | `item` | string | `"Meal, Inexpensive Restaurant"` | | `price` | number | `20.00` | | `currency` | string | `"USD"` | | `url` | string | `"https://www.numbeo.com/cost-of-living/in/New-York"` | | `checkedAt` | string | `"2026-04-23T18:00:00.000Z"` | #### Categories covered - **Restaurants** — Meals, coffee, beer, fast food - **Markets** — Groceries: milk, bread, rice, eggs, produce, meat - **Transportation** — Public transit, taxi, fuel, car prices - **Utilities** — Electricity, internet, mobile plans - **Sports & Leisure** — Gym, cinema, tennis court - **Childcare** — Preschool, international school - **Clothing** — Jeans, summer dress, shoes - **Rent** — 1-bedroom and 3-bedroom apartments (city center and suburbs) - **Buy Apartment** — Price per square meter - **Salaries & Financing** — Average salary, mortgage rate --- ### How to use 1. Open the actor and click **Try for free** 2. Enter one or more **city names** (as they appear on Numbeo, e.g. `New York`, `Paris`, `Buenos-Aires`) 3. Select your preferred **display currency** (default: USD) 4. Click **Start** — results ready in under 30 seconds per city 5. Download as **JSON** or **CSV** from the dataset tab --- ### Use cases - **Relocation research** — Compare cost of living across multiple cities before moving - **Remote work analysis** — Identify affordable cities for remote workers and digital nomads - **Salary benchmarking** — Understand purchasing power differences across markets - **Market entry research** — Estimate operational costs (rent, salaries, utilities) before expanding - **Travel budgeting** — Plan realistic travel budgets based on real crowd-sourced prices - **Academic research** — Analyze price disparities across regions and countries --- ### Input parameters ```json { "cities": ["New York", "London", "Tokyo", "Buenos-Aires"], "currency": "USD" } ```` | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `cities` | array | required | List of city names to scrape | | `currency` | string | `"USD"` | Display currency: USD, EUR, GBP, JPY, etc. | **City name format:** Use the city name as it appears in Numbeo URLs (e.g. `New-York`, `Sao-Paulo`, `Buenos-Aires`). Spaces are automatically converted to hyphens. *** ### Sample output ```json [ { "city": "New York", "category": "Restaurants", "item": "Meal, Inexpensive Restaurant", "price": 20.00, "currency": "USD", "url": "https://www.numbeo.com/cost-of-living/in/New-York?displayCurrency=USD", "checkedAt": "2026-04-23T18:00:00.000Z" }, { "city": "New York", "category": "Markets", "item": "Milk (regular), (1 liter)", "price": 1.60, "currency": "USD", "url": "https://www.numbeo.com/cost-of-living/in/New-York?displayCurrency=USD", "checkedAt": "2026-04-23T18:00:00.000Z" } ] ``` *** ### Performance - Each city: ~3–5 seconds (static HTML, no JavaScript rendering) - Batch of 10 cities: ~30–50 seconds - \~50–60 price items per city - Uses CheerioCrawler for fast, lightweight scraping *** ### Pricing This actor charges **$0.002 per city scraped**. | Cities | Estimated cost | |--------|---------------| | 10 | ~$0.02 | | 100 | ~$0.20 | | 500 | ~$1.00 | The Apify free plan includes $5 monthly credit — enough for 2,500 city lookups per month. *** ### Keywords Numbeo scraper, cost of living data, city price comparison, cost of living by city, living expenses scraper, Numbeo API, grocery prices by city, rent prices worldwide, cost of living index, digital nomad city comparison *** ### Legal disclaimer This actor extracts **publicly available data** from Numbeo (numbeo.com). All price data on Numbeo is publicly accessible without login or registration. Users are responsible for ensuring their use of the extracted data complies with applicable laws and Numbeo's terms of service. # Actor input Schema ## `cities` (type: `array`): List of city names to scrape (e.g. 'New York', 'Paris', 'Santiago'). Use the city name as it appears on Numbeo URLs. ## `currency` (type: `string`): Currency to display prices in (e.g. USD, EUR, GBP). Defaults to USD. ## `proxyConfiguration` (type: `object`): Datacenter proxies are free and work for most sites. Switch to Residential if you get blocked. ## Actor input object example ```json { "cities": [ "New York", "London", "Tokyo" ], "currency": "USD", "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `dataset` (type: `string`): All scraped cost of living prices stored in the default dataset. # 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 = { "cities": [ "New York", "London", "Tokyo" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("sheshinmcfly/numbeo-cost-of-living-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 = { "cities": [ "New York", "London", "Tokyo", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("sheshinmcfly/numbeo-cost-of-living-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 '{ "cities": [ "New York", "London", "Tokyo" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call sheshinmcfly/numbeo-cost-of-living-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sheshinmcfly/numbeo-cost-of-living-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Numbeo Cost of Living Scraper", "description": "Scrape cost of living price data by city from Numbeo. Returns itemized prices for food, rent, transportation, utilities, and more — no login required.", "version": "1.0", "x-build-id": "6DzFf3bhlz4WYvPiL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sheshinmcfly~numbeo-cost-of-living-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sheshinmcfly-numbeo-cost-of-living-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sheshinmcfly~numbeo-cost-of-living-scraper/runs": { "post": { "operationId": "runs-sync-sheshinmcfly-numbeo-cost-of-living-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sheshinmcfly~numbeo-cost-of-living-scraper/run-sync": { "post": { "operationId": "run-sync-sheshinmcfly-numbeo-cost-of-living-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "cities" ], "properties": { "cities": { "title": "Cities", "type": "array", "description": "List of city names to scrape (e.g. 'New York', 'Paris', 'Santiago'). Use the city name as it appears on Numbeo URLs.", "items": { "type": "string" } }, "currency": { "title": "Display Currency", "type": "string", "description": "Currency to display prices in (e.g. USD, EUR, GBP). Defaults to USD.", "default": "USD" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Datacenter proxies are free and work for most sites. Switch to Residential if you get blocked." } } }, "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 } } } } } } } } } } ```