# Nominatim Batch Geocoder (`flamelit_arowana/nominatim-geocoding-batch`) Actor - **URL**: https://apify.com/flamelit\_arowana/nominatim-geocoding-batch.md - **Developed by:** [Kevin Grossi](https://apify.com/flamelit_arowana) (community) - **Categories:** Business - **Stats:** 2 total users, 1 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 # Actor input Schema ## `mode` (type: `string`): Select geocode (address → coordinates) or reverse_geocode (coordinates → address). ## `address` (type: `string`): Single address to geocode, e.g. '1600 Amphitheatre Parkway, Mountain View, CA'. ## `addresses` (type: `array`): Batch list of addresses to geocode in one run. ## `latitude` (type: `number`): Latitude for single reverse geocode lookup. ## `longitude` (type: `number`): Longitude for single reverse geocode lookup. ## `coordinates` (type: `array`): Batch list of {lat, lng} objects to reverse-geocode. ## `maxResults` (type: `integer`): Maximum number of results to return per geocode query (1–50). ## Actor input object example ```json { "mode": "geocode", "addresses": [ "1600 Amphitheatre Parkway, Mountain View, CA", "1 Apple Park Way, Cupertino, CA" ], "coordinates": [ { "lat": 37.422, "lng": -122.084 }, { "lat": 37.3349, "lng": -122.009 } ], "maxResults": 10 } ```` # 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 = { "mode": "geocode", "addresses": [ "1600 Amphitheatre Parkway, Mountain View, CA", "1 Apple Park Way, Cupertino, CA" ], "coordinates": [ { "lat": 37.422, "lng": -122.084 }, { "lat": 37.3349, "lng": -122.009 } ] }; // Run the Actor and wait for it to finish const run = await client.actor("flamelit_arowana/nominatim-geocoding-batch").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 = { "mode": "geocode", "addresses": [ "1600 Amphitheatre Parkway, Mountain View, CA", "1 Apple Park Way, Cupertino, CA", ], "coordinates": [ { "lat": 37.422, "lng": -122.084, }, { "lat": 37.3349, "lng": -122.009, }, ], } # Run the Actor and wait for it to finish run = client.actor("flamelit_arowana/nominatim-geocoding-batch").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 '{ "mode": "geocode", "addresses": [ "1600 Amphitheatre Parkway, Mountain View, CA", "1 Apple Park Way, Cupertino, CA" ], "coordinates": [ { "lat": 37.422, "lng": -122.084 }, { "lat": 37.3349, "lng": -122.009 } ] }' | apify call flamelit_arowana/nominatim-geocoding-batch --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=flamelit_arowana/nominatim-geocoding-batch", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nominatim Batch Geocoder", "version": "0.1", "x-build-id": "JH2sEqRcUwrALWfUh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/flamelit_arowana~nominatim-geocoding-batch/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-flamelit_arowana-nominatim-geocoding-batch", "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/flamelit_arowana~nominatim-geocoding-batch/runs": { "post": { "operationId": "runs-sync-flamelit_arowana-nominatim-geocoding-batch", "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/flamelit_arowana~nominatim-geocoding-batch/run-sync": { "post": { "operationId": "run-sync-flamelit_arowana-nominatim-geocoding-batch", "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": [ "mode" ], "properties": { "mode": { "title": "Operation Mode", "enum": [ "geocode", "reverse_geocode" ], "type": "string", "description": "Select geocode (address → coordinates) or reverse_geocode (coordinates → address)." }, "address": { "title": "Address (Single)", "type": "string", "description": "Single address to geocode, e.g. '1600 Amphitheatre Parkway, Mountain View, CA'." }, "addresses": { "title": "Addresses (Batch)", "type": "array", "description": "Batch list of addresses to geocode in one run." }, "latitude": { "title": "Latitude (Single Reverse)", "type": "number", "description": "Latitude for single reverse geocode lookup." }, "longitude": { "title": "Longitude (Single Reverse)", "type": "number", "description": "Longitude for single reverse geocode lookup." }, "coordinates": { "title": "Coordinates (Batch Reverse)", "type": "array", "description": "Batch list of {lat, lng} objects to reverse-geocode." }, "maxResults": { "title": "Max Results Per Query", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of results to return per geocode query (1–50).", "default": 10 } } }, "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 } } } } } } } } } } ```