# Geocoding — Address to Coordinates & Reverse (`bgfc97/geocoding`) Actor Convert addresses or place names to latitude/longitude with a structured address (forward), or coordinates back to an address (reverse). Powered by OpenStreetMap Nominatim. No API key. - **URL**: https://apify.com/bgfc97/geocoding.md - **Developed by:** [Bruno](https://apify.com/bgfc97) (community) - **Categories:** Developer tools, Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 address resolveds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Geocoding — Address ⇄ Coordinates Convert **addresses to coordinates** (forward) or **coordinates to addresses** (reverse), with a clean structured address for each. Powered by OpenStreetMap Nominatim — no API key. ### Forward (address → coordinates) ```json { "mode": "forward", "queries": ["Eiffel Tower, Paris", "1600 Amphitheatre Parkway, Mountain View, CA"], "language": "en" } ```` Returns `latitude`, `longitude`, `display_name`, structured `address` (road, city, state, postcode, country), `type`, `importance`, `boundingbox`. ### Reverse (coordinates → address) ```json { "mode": "reverse", "coordinates": [{ "lat": 48.8584, "lon": 2.2945 }] } ``` Returns `display_name` and the structured `address` for the point. ### Output example ```json { "query": "Eiffel Tower, Paris", "display_name": "Eiffel Tower, Avenue Gustave Eiffel, Paris, France", "latitude": 48.8584, "longitude": 2.2945, "type": "attraction", "address": { "city": "Paris", "postcode": "75007", "country": "France", "country_code": "fr" } } ``` ### Use cases Enrich CRM/lead addresses, map plotting, delivery/logistics, store locators, data cleaning, analytics. Pay per address resolved. No key. (Respects the Nominatim usage policy: 1 request/second.) # Actor input Schema ## `mode` (type: `string`): forward = address/place -> coordinates. reverse = coordinates -> address. ## `queries` (type: `array`): Addresses or place names to geocode. Used when mode = forward. ## `coordinates` (type: `array`): List of {lat, lon} objects to reverse-geocode. Used when mode = reverse. ## `language` (type: `string`): Preferred language for results (en, es, pt-BR, fr, de, it, ja). ## Actor input object example ```json { "mode": "forward", "queries": [ "Eiffel Tower, Paris", "1600 Amphitheatre Parkway, Mountain View, CA" ], "coordinates": [ { "lat": 48.8584, "lon": 2.2945 } ], "language": "en" } ``` # 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 = { "queries": [ "Eiffel Tower, Paris", "1600 Amphitheatre Parkway, Mountain View, CA" ], "coordinates": [ { "lat": 48.8584, "lon": 2.2945 } ] }; // Run the Actor and wait for it to finish const run = await client.actor("bgfc97/geocoding").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 = { "queries": [ "Eiffel Tower, Paris", "1600 Amphitheatre Parkway, Mountain View, CA", ], "coordinates": [{ "lat": 48.8584, "lon": 2.2945, }], } # Run the Actor and wait for it to finish run = client.actor("bgfc97/geocoding").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 '{ "queries": [ "Eiffel Tower, Paris", "1600 Amphitheatre Parkway, Mountain View, CA" ], "coordinates": [ { "lat": 48.8584, "lon": 2.2945 } ] }' | apify call bgfc97/geocoding --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bgfc97/geocoding", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Geocoding — Address to Coordinates & Reverse", "description": "Convert addresses or place names to latitude/longitude with a structured address (forward), or coordinates back to an address (reverse). Powered by OpenStreetMap Nominatim. No API key.", "version": "1.0", "x-build-id": "sv7HYxL6DjGnEInu4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bgfc97~geocoding/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bgfc97-geocoding", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bgfc97~geocoding/runs": { "post": { "operationId": "runs-sync-bgfc97-geocoding", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bgfc97~geocoding/run-sync": { "post": { "operationId": "run-sync-bgfc97-geocoding", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "forward", "reverse" ], "type": "string", "description": "forward = address/place -> coordinates. reverse = coordinates -> address.", "default": "forward" }, "queries": { "title": "Addresses / places (forward mode)", "type": "array", "description": "Addresses or place names to geocode. Used when mode = forward.", "items": { "type": "string" } }, "coordinates": { "title": "Coordinates (reverse mode)", "type": "array", "description": "List of {lat, lon} objects to reverse-geocode. Used when mode = reverse." }, "language": { "title": "Language", "type": "string", "description": "Preferred language for results (en, es, pt-BR, fr, de, it, ja).", "default": "en" } } }, "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 } } } } } } } } } } ```