# Atlas Obscura Location Detail Scraper (`martin0925/atlas-obscura-location-detail-scraper`) Actor This Apify actor extracts rich structured data from individual Atlas Obscura place detail pages. It collects key data such as visitor counts, rarity rankings, GPS coordinates, tags, and image thumbnails. Perfect for building travel datasets or analyzing unusual destinations around the world. - **URL**: https://apify.com/martin0925/atlas-obscura-location-detail-scraper.md - **Developed by:** [Martin Janeฤek](https://apify.com/martin0925) (community) - **Categories:** Travel, Developer tools, Other - **Stats:** 2 total users, 0 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 ## ๐Ÿงญ Atlas Obscura Location Detail Scraper This Apify actor extracts rich structured data from individual Atlas Obscura place detail pages. It collects key data such as visitor counts, rarity rankings, GPS coordinates, tags, and image thumbnails. Perfect for building travel datasets, powering cultural heritage applications, developing exploration apps, or analyzing unusual and rare destinations around the world ๐ŸŒ. --- ### โœจ Features - ๐Ÿ“ **Title** and **location name** - ๐Ÿ”ข **Visitor counts** ("Been There" and "Want to Visit") - ๐Ÿ”ฅ **Rarity classification**: - `legendary`, `epic`, `rare`, `common` (based on a scoring formula) - ๐Ÿท๏ธ **Tags** (e.g. "urban legends", "historical", "museums") - ๐Ÿ“ธ **Image URL** (sample photo of the location) - ๐ŸŒ **GPS coordinates** (latitude & longitude) - ๐Ÿ”— **Page URL** --- ### ๐Ÿ“ฅ Input ```json { "startUrls": [ { "url": "https://www.atlasobscura.com/places/the-museum-of-alchemists-and-magicians-of-old-prague-prague-czechia" }, { "url": "https://www.atlasobscura.com/places/strahov-monastery-me" }, { "url": "https://www.atlasobscura.com/places/idiom-installation" }, { "url": "https://www.atlasobscura.com/places/dripstone-wall-2" }, { "url": "https://www.atlasobscura.com/places/speculum-alchemiae" }, { "url": "https://www.atlasobscura.com/places/prague-astronomical-clock" }, { "url": "https://www.atlasobscura.com/places/olsany-cemetery" }, { "url": "https://www.atlasobscura.com/places/sedlec-ossuary" } ] } ```` #### Input Fields: | Field | Type | Description | | ----------- | ------- | --------------------------------------------------------------------- | | `startUrls` | `array` | List of **Atlas Obscura place detail URLs** (`/places/...`) to scrape | > โš ๏ธ **Only** pass direct `/places/...` URLs. Do **not** use listing, search, or region URLs. *** ### ๐Ÿ“ค Output Each extracted location is stored in the dataset as a structured object: ```json { "title": "Strahov Monastery", "place": "Prague, Czechia", "latitude": 50.086148, "longitude": 14.389252, "rarity": "common", "rarityParameter": 2443.8, "tags": [ "Wonder Cabinets", "Sacred Spaces", "Repositories Of Knowledge" ], "image": "https://img.atlasobscura.com/8xz9QfLvDBgdY...jpg", "url": "https://www.atlasobscura.com/places/strahov-monastery-me" } ``` #### ๐Ÿงฎ Rarity Calculation Formula ```ts rarityParameter = beenThere + (wantToVisit * 0.3) rarity = rarityParameter < 50 โ†’ "legendary" rarityParameter < 150 โ†’ "epic" rarityParameter < 450 โ†’ "rare" otherwise โ†’ "common" ``` *** ### ๐Ÿง  Best Practices - Use small to medium-sized batches for best performance - Use together with the [Atlas Obscura URLs Scraper](https://apify.com/martin0925/scraper-atlas-obscura-urls) to first collect place URLs *** ### ๐Ÿ‘‰ Use the companion actor to gather URLs #### [๐Ÿ”— Atlas Obscura URLs Scraper](https://apify.com/martin0925/scraper-atlas-obscura-urls) This actor lets you extract **all `/places/...` URLs** from listing pages like: - ๐Ÿ‡จ๐Ÿ‡ฟ `https://www.atlasobscura.com/things-to-do/czechia/places` - ๐Ÿ‡ฏ๐Ÿ‡ต `https://www.atlasobscura.com/things-to-do/japan/places` - ๐Ÿ—ฝ `https://www.atlasobscura.com/things-to-do/new-york/places` #### โš™๏ธ How to use: 1. Run the **URLs Scraper** with your target country or city listing URL. 2. Export or connect its dataset to this **Location Detail Scraper**. 3. Get rich detail data (coordinates, tags, rarity, etc.) for every place found. ### ๐Ÿ’ฐ Cost of Usage Usage of this Apify scraper is available from **10 EUR per month**. With this subscription, you can scrape data for unlimited locations. A three-day free trial is also available. ### ๐Ÿ“ฃ Feedback I would love to hear from you! If you have any feedback, suggestions, or issues, feel free to reach out. Your input helps me improve the tool and deliver the best experience for all users. Do not hesitate and write me an email in majanez78@gmail.com. # Actor input Schema ## `startUrls` (type: `array`): List of Atlas Obscura `/places/...` page URLs to extract structured location details from. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.atlasobscura.com/places/brno-dragon" }, { "url": "https://www.atlasobscura.com/places/strahov-monastery-me" } ] } ``` # 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 = { "startUrls": [ { "url": "https://www.atlasobscura.com/places/brno-dragon" }, { "url": "https://www.atlasobscura.com/places/strahov-monastery-me" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("martin0925/atlas-obscura-location-detail-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "startUrls": [ { "url": "https://www.atlasobscura.com/places/brno-dragon" }, { "url": "https://www.atlasobscura.com/places/strahov-monastery-me" }, ] } # Run the Actor and wait for it to finish run = client.actor("martin0925/atlas-obscura-location-detail-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.atlasobscura.com/places/brno-dragon" }, { "url": "https://www.atlasobscura.com/places/strahov-monastery-me" } ] }' | apify call martin0925/atlas-obscura-location-detail-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=martin0925/atlas-obscura-location-detail-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Atlas Obscura Location Detail Scraper", "description": "This Apify actor extracts rich structured data from individual Atlas Obscura place detail pages. It collects key data such as visitor counts, rarity rankings, GPS coordinates, tags, and image thumbnails. Perfect for building travel datasets or analyzing unusual destinations around the world.", "version": "1.0", "x-build-id": "wAAp0PG7W6dOYq5YC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/martin0925~atlas-obscura-location-detail-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-martin0925-atlas-obscura-location-detail-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/martin0925~atlas-obscura-location-detail-scraper/runs": { "post": { "operationId": "runs-sync-martin0925-atlas-obscura-location-detail-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/martin0925~atlas-obscura-location-detail-scraper/run-sync": { "post": { "operationId": "run-sync-martin0925-atlas-obscura-location-detail-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": [ "startUrls" ], "properties": { "startUrls": { "title": "Place Detail URLs", "minItems": 1, "type": "array", "description": "List of Atlas Obscura `/places/...` page URLs to extract structured location details from.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```