# NomadList Scraper - Nomad City Rankings & Cost of Living (`lulzasaur/nomadlist-scraper`) Actor Scrape Nomads.com (NomadList) city rankings with 30+ data points per city: life scores, cost of living, internet speed, safety, nightlife, walkability, weather, and more. Perfect for digital nomads comparing destinations. - **URL**: https://apify.com/lulzasaur/nomadlist-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 ## NomadList Scraper Apify Actor for scraping NomadList (Nomads.com) digital nomad city rankings and cost of living data. Uses CheerioCrawler for fast, efficient HTML parsing without a browser. ### Features - Scrape 30+ data points per city from Nomads.com city detail pages - Quality scores: life, family, community, safety, nightlife, walkability, friendliness, and more - Cost of living: monthly rent, hotel prices, coworking, meals, coffee, beer, taxi rates - Infrastructure: internet speed, WiFi availability, airport connectivity - Demographics: LGBT friendly, female friendly, racial tolerance, English speaking - Discovery mode: use "all" to scrape 125 popular digital nomad destinations - Coordinates, region, country, and aggregate ratings included ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchQueries` | string[] | `["Bangkok", "Lisbon", "Chiang Mai"]` | City names or slugs. Use `"all"` to scrape 125 popular cities. | | `maxListings` | integer | `50` | Max cities to scrape (0=unlimited) | | `proxyConfiguration` | object | `{}` | Proxy settings (recommended for large runs) | #### Example Input ```json { "searchQueries": ["Bangkok", "Lisbon", "Medellin", "Tbilisi", "Chiang Mai"], "maxListings": 10 } ```` #### Discovery Mode Scrape all 125 popular digital nomad cities: ```json { "searchQueries": ["all"], "maxListings": 0 } ``` ### Output ```json { "cityName": "Bangkok", "country": "Thailand", "region": "Asia", "slug": "bangkok-thailand", "latitude": 13.7566968, "longitude": 100.5019493, "description": "Bangkok is a city of contrasts...", "lifeScore": 4, "familyScore": 3, "communityScore": 5, "leisureQuality": 4, "femaleFriendly": 4, "lgbtFriendly": 5, "racialTolerance": 2, "englishSpeaking": 1, "walkabilityScore": 5, "trafficScore": 2, "airlinesScore": 5, "hospitalScore": 5, "happinessScore": 4, "nightlifeScore": 5, "wifiAvailability": 5, "placesToWorkScore": 5, "friendlinessScore": 5, "pressFreedomScore": 3, "startupScore": 2, "monthlyRent": 21467, "medianHomePrice": 218204, "hotelPricePerNight": 928, "coworkingMonthlyCost": 6787.5, "averageMealPrice": 110, "softDrinkPrice": 22.5, "beerPrice": 77.5, "coffeePrice": 79, "intlSchoolYearlyCost": 457183.53, "mobileCostPerMinute": 1.72, "taxiCostPerKm": 39, "temperatureCelsius": 39, "internetSpeedMbps": 24, "aggregateRating": 5, "reviewCount": 4304, "rawScores": { "...all raw data-key/data-value pairs..." }, "url": "https://nomads.com/bangkok", "searchQuery": "Bangkok", "scrapedAt": "2026-04-25T12:00:00.000Z" } ``` #### Data Points Explained **Quality Scores (1-5 scale):** - `lifeScore` - Overall life quality rating - `familyScore` - Family-friendliness - `communityScore` - Nomad/expat community strength - `nightlifeScore` - Nightlife and entertainment - `walkabilityScore` - Pedestrian-friendliness - `friendlinessScore` - Friendliness to foreigners - `lgbtFriendly` - LGBT acceptance - `femaleFriendly` - Safety/comfort for women **Cost of Living (local currency values from site):** - `monthlyRent` - Apartment rental cost per month - `hotelPricePerNight` - Average hotel nightly rate - `coworkingMonthlyCost` - Coworking space monthly membership - `averageMealPrice` - Average restaurant meal - `coffeePrice` / `beerPrice` - Cafe prices ### How It Works 1. Converts city names to URL slugs (e.g., "Chiang Mai" -> `chiang-mai`) 2. Fetches each city's detail page from `nomads.com/{slug}` 3. Parses `data-key` / `data-value` HTML attributes for structured scores and costs 4. Extracts JS variables for coordinates, country, and description 5. Reads schema.org microdata for aggregate ratings and review counts 6. Rate-limited to 15 requests/minute to respect Cloudflare protection ### Quick Start ```bash apify run --purge ``` ### Deploy to Apify ```bash apify login apify push ``` *** ### Run on Apify This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) -- a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features. [Try Apify free](https://apify.com/?fpr=lulzasaur) ### Related Scrapers More marketplace scrapers and data tools by [lulzasaur](https://apify.com/lulzasaur): - [AbeBooks Scraper](https://apify.com/lulzasaur/abebooks-scraper) -- Rare and used books - [Bonanza Scraper](https://apify.com/lulzasaur/bonanza-scraper) -- Online marketplace listings - [Contractor License Verifier](https://apify.com/lulzasaur/contractor-license-scraper) -- Multi-state license verification - [Craigslist Scraper](https://apify.com/lulzasaur/craigslist-scraper) -- Marketplace listings and details - [Goodreads Scraper](https://apify.com/lulzasaur/goodreads-scraper) -- Book ratings and reviews - [Grailed Scraper](https://apify.com/lulzasaur/grailed-scraper) -- Luxury fashion resale - [IMDb Scraper](https://apify.com/lulzasaur/imdb-scraper) -- Movie and TV show data - [OfferUp Scraper](https://apify.com/lulzasaur/offerup-scraper) -- Local marketplace listings - [PSA Population Report](https://apify.com/lulzasaur/psa-pop-scraper) -- Card grading data - [Redfin Scraper](https://apify.com/lulzasaur/redfin-scraper) -- Real estate listings and prices - [Reverb Scraper](https://apify.com/lulzasaur/reverb-scraper) -- Music gear marketplace - [TCGPlayer Scraper](https://apify.com/lulzasaur/tcgplayer-scraper) -- Trading card prices # Actor input Schema ## `searchQueries` (type: `array`): List of city names to scrape (e.g., 'Bangkok', 'Chiang Mai', 'Ho Chi Minh City'). Use 'all' to scrape 125 popular digital nomad cities. City names are converted to URL slugs automatically. ## `maxListings` (type: `integer`): Maximum number of cities to scrape. Set to 0 for unlimited. When using 'all' mode, limits how many of the 125 default cities are scraped. ## `proxyConfiguration` (type: `object`): Proxy settings. Recommended for large runs to avoid Cloudflare rate limiting (429 errors). ## Actor input object example ```json { "searchQueries": [ "Bangkok", "Lisbon", "Chiang Mai" ], "maxListings": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "searchQueries": [ "Bangkok", "Lisbon", "Chiang Mai" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/nomadlist-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 = { "searchQueries": [ "Bangkok", "Lisbon", "Chiang Mai", ] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/nomadlist-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 '{ "searchQueries": [ "Bangkok", "Lisbon", "Chiang Mai" ] }' | apify call lulzasaur/nomadlist-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/nomadlist-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NomadList Scraper - Nomad City Rankings & Cost of Living", "description": "Scrape Nomads.com (NomadList) city rankings with 30+ data points per city: life scores, cost of living, internet speed, safety, nightlife, walkability, weather, and more. Perfect for digital nomads comparing destinations.", "version": "1.0", "x-build-id": "fy9wM5bk6gpoO8eAa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~nomadlist-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-nomadlist-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~nomadlist-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-nomadlist-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~nomadlist-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-nomadlist-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "City Names or Slugs", "type": "array", "description": "List of city names to scrape (e.g., 'Bangkok', 'Chiang Mai', 'Ho Chi Minh City'). Use 'all' to scrape 125 popular digital nomad cities. City names are converted to URL slugs automatically.", "default": [ "Bangkok", "Lisbon", "Chiang Mai" ], "items": { "type": "string" } }, "maxListings": { "title": "Max Cities", "minimum": 0, "type": "integer", "description": "Maximum number of cities to scrape. Set to 0 for unlimited. When using 'all' mode, limits how many of the 125 default cities are scraped.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Recommended for large runs to avoid Cloudflare rate limiting (429 errors).", "default": { "useApifyProxy": 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 } } } } } } } } } } ```