# Local Business & POI Scraper (OpenStreetMap) (`ponderable_hydrometer/osm-pois-scraper`) Actor Extract local businesses & POIs from OpenStreetMap — name, address, phone, website, hours, coords — by area or bbox. Free Overpass API, no key. A cheap Maps alternative. - **URL**: https://apify.com/ponderable\_hydrometer/osm-pois-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Local Business & POI Scraper (OpenStreetMap) **Local businesses and points of interest — restaurants, shops, hotels, services and more — for any area, with contact details and coordinates.** From OpenStreetMap via the public Overpass API. Free, keyless, no proxies — a free alternative to expensive Maps-based local-data APIs, without the Google Maps red ocean. Search by plain place name (`"Heidelberg"`) or a precise bounding box, filter by any OSM tag, and get clean, structured rows ready for lead-gen, directories or mapping. ### What you get One row per POI: - **Identity** — `name`, `type` (e.g. `amenity=restaurant`), `brand`, `cuisine` - **Address** — combined `address`, plus `city`, `postcode`, `country` - **Contact** — `phone`, `website`, `email`, `openingHours` - **Geo** — `lat`, `lon` - **OSM refs** — `osmType`, `osmId`, `osmUrl`, and the full raw `tags` object for anything else you need ### Output sample ```json { "name": "Restaurant Borchardt", "type": "amenity=restaurant", "address": "Französische Straße, 47, 10117, Berlin", "city": "Berlin", "postcode": "10117", "country": null, "phone": "+49 30 81886262", "website": "https://www.borchardt.com", "email": null, "openingHours": "Mo-Su 11:30-24:00", "cuisine": "german", "brand": null, "lat": 52.5145, "lon": 13.3907, "osmType": "node", "osmId": 1234567, "osmUrl": "https://www.openstreetmap.org/node/1234567", "tags": { "...": "full OSM tags" } } ```` ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `filters` | array | `["amenity=restaurant"]` | OSM tags to fetch, e.g. `shop=bakery`, `tourism=hotel`. A bare word = an `amenity` | | `area` | string | — | Place/city name to search within, e.g. `Heidelberg` | | `bbox` | string | — | Precise box `south,west,north,east` (overrides `area`) | | `maxResults` | integer | `500` | Cap on POIs returned | Provide a location: either `area` (a place name) or `bbox`. Common `filters`: `amenity=restaurant|cafe|bar|pharmacy|bank|fuel`, `shop=supermarket|bakery|clothes`, `tourism=hotel`, `leisure=fitness_centre`, `office=*`. ### Example input ```json { "filters": ["amenity=restaurant", "amenity=cafe"], "area": "Heidelberg", "maxResults": 500 } ``` Precise bounding box: ```json { "filters": ["shop=bakery"], "bbox": "52.51,13.37,52.52,13.40" } ``` ### Why this actor - **Friendly area-name UX** — pass a city name, no bounding-box math required. - **Any category** — filter by any OSM tag, not a fixed list. - **Contact-rich** — phone, website, email and opening hours where mapped. - **Keyless & unlimited** — Overpass public API, no key, no anti-bot, far cheaper than Maps scrapers. ### Pricing Pay per result — **$4.00 per 1,000 results** (one POI = one result). No subscription or platform fees. ### Related actors - **Open-Meteo Weather Forecast Scraper** — forecasts by city or coordinates. - **Website Tech Stack Detector** — enrich a business's website with its tech stack. - **Food & Nutrition Scraper (Open Food Facts)** — product data for retail/CPG. ### Notes & limits - Data is OpenStreetMap via the public Overpass API — free, no key, no anti-bot. - Coverage and field completeness depend on OSM contributors (major cities are rich; phone/website present where mapped). - `area` matches OSM boundary names; for precise control use `bbox`. Very large areas may be slow. - OpenStreetMap data is © OpenStreetMap contributors (ODbL) — attribute and use accordingly. This actor is an independent tool. # Actor input Schema ## `filters` (type: `array`): What to fetch, as OpenStreetMap key=value tags. Examples: "amenity=restaurant", "shop=bakery", "tourism=hotel", "amenity=pharmacy". A bare word is treated as an amenity. ## `area` (type: `string`): Place/city/region name to search within, e.g. "Heidelberg". Uses OSM boundaries. Use 'bbox' for precise control. ## `bbox` (type: `string`): Precise geographic box, e.g. "52.51,13.37,52.52,13.40". Overrides 'area'. ## `maxResults` (type: `integer`): Cap on POIs returned. ## Actor input object example ```json { "filters": [ "amenity=restaurant" ], "maxResults": 500 } ``` # 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 = { "filters": [ "amenity=restaurant" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/osm-pois-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 = { "filters": ["amenity=restaurant"] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/osm-pois-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 '{ "filters": [ "amenity=restaurant" ] }' | apify call ponderable_hydrometer/osm-pois-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/osm-pois-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Local Business & POI Scraper (OpenStreetMap)", "description": "Extract local businesses & POIs from OpenStreetMap — name, address, phone, website, hours, coords — by area or bbox. Free Overpass API, no key. A cheap Maps alternative.", "version": "0.1", "x-build-id": "r1DO7PmdwBmI1wapW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~osm-pois-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-osm-pois-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ponderable_hydrometer~osm-pois-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-osm-pois-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ponderable_hydrometer~osm-pois-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-osm-pois-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "filters": { "title": "POI filters (OSM tags)", "type": "array", "description": "What to fetch, as OpenStreetMap key=value tags. Examples: \"amenity=restaurant\", \"shop=bakery\", \"tourism=hotel\", \"amenity=pharmacy\". A bare word is treated as an amenity.", "items": { "type": "string" } }, "area": { "title": "Area (place name)", "type": "string", "description": "Place/city/region name to search within, e.g. \"Heidelberg\". Uses OSM boundaries. Use 'bbox' for precise control." }, "bbox": { "title": "Bounding box (south,west,north,east)", "type": "string", "description": "Precise geographic box, e.g. \"52.51,13.37,52.52,13.40\". Overrides 'area'." }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Cap on POIs returned.", "default": 500 } } }, "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 } } } } } } } } } } ```