# Nominatim Address Geocoder (`scrapesmith/nominatim-geocoder`) Actor Cheapest Nominatim geocoder. Forward, reverse & OSM lookup. Full address parsing, confidence scoring, enrichment. JSON/CSV/Excel. API, MCP, webhook, AI-agent ready. - **URL**: https://apify.com/scrapesmith/nominatim-geocoder.md - **Developed by:** [Scrape Smith](https://apify.com/scrapesmith) (community) - **Categories:** Developer tools, Automation, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.70 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Nominatim Address Geocoder -- Forward, Reverse & OSM Lookup The most complete and affordable Nominatim geocoding actor on Apify. Convert addresses to GPS coordinates, coordinates to addresses, or look up any OpenStreetMap object -- all in one tool. Get structured address data, confidence scoring, enrichment fields, and distance calculations with every result. Built on [OpenStreetMap](https://www.openstreetmap.org/) data via the Nominatim service. No API key required. Worldwide coverage. ### Why this geocoder? - **Three modes in one actor** -- forward search, reverse geocoding, AND OSM ID lookup. Most alternatives only offer two. - **Cheapest and fastest on the platform** -- fraction of the cost of competing geocoding actors with 2x the output fields. Concurrent processing delivers hundreds of results per minute. - **Structured address parsing** -- every result includes a normalized address object (house number, road, city, county, state, postcode, country, country code). - **109-field enriched output** -- confidence scoring, risk assessment, delivery suitability, input quality analysis, Plus Code, timezone, continent, hemisphere, urbanicity, duplicate detection, and dataset-level analytics. More fields than any competitor. - **Confidence scoring** -- each result gets a confidence score (0-100), letter grade (A-F), and precision tier (rooftop, street, neighborhood, city, region, state, country). - **Structured search** -- pass street, city, state, postal code, and country as separate fields for higher-precision matching. - **Distance calculation** -- set a reference point and get the distance in kilometers to every result. - **Enrichment data** -- Wikipedia, Wikidata, population, elevation, website, email, phone, and opening hours when available from OpenStreetMap. - **Multi-language** -- results in 50+ languages. Specify your preferred language and get localized place names. - **Name variants** -- access place names in multiple languages and scripts from a single query. - **Zero setup** -- no API keys, no authentication, no configuration. Just provide addresses and go. ### Input | Parameter | Type | Description | |-----------|------|-------------| | Mode | Select | `search` (address to coordinates), `reverse` (coordinates to address), or `lookup` (OSM ID to details) | | Addresses | String list | Addresses or place names to geocode (search mode) | | Latitudes | String list | Latitude values for reverse geocoding | | Longitudes | String list | Longitude values for reverse geocoding | | OSM IDs | String list | OpenStreetMap IDs for lookup (e.g. `R146656`, `N240109189`) | | Street | Text | Street for structured search | | City | Text | City for structured search | | State | Text | State/province for structured search | | Postal Code | Text | ZIP/postal code for structured search | | Country | Text | Country for structured search | | Country Code | Text | ISO 3166-1 alpha-2 filter (e.g. `us`, `de`) | | Language | Text | ISO 639-1 language code (default: `en`) | | Max Alternatives | Number | Candidates per query (1-50) | | Reference Lat/Lon | Number | Reference point for distance calculation | | Max Results | Number | Cap on total output | ### Output Each result contains: ```json { "inputContext": "1600 Amphitheatre Parkway, Mountain View, CA", "mode": "search", "latitude": 37.4224858, "longitude": -122.0855846, "displayName": "Google Building 41, 1600, Amphitheatre Parkway, Mountain View, Santa Clara County, California, 94043, United States", "name": "Google Building 41", "osmType": "way", "osmId": 23733659, "placeId": 322835547, "category": "building", "type": "commercial", "addressType": "building", "placeRank": 30, "importance": 0.00006278, "address": { "houseNumber": "1600", "road": "Amphitheatre Parkway", "neighbourhood": "", "city": "Mountain View", "county": "Santa Clara County", "state": "California", "stateCode": "US-CA", "postcode": "94043", "country": "United States", "countryCode": "US" }, "precision": "building", "confidenceScore": 60, "confidenceGrade": "B", "boundingBox": { "southLat": 37.4221124, "northLat": 37.4228508, "westLon": -122.0859868, "eastLon": -122.0851511 }, "enrichment": { "architect": "STUDIOS Architecture", "description": "Previously was the SGI campus" }, "nameVariants": { "name:en": "Google Building 41", "old_name": "Silicon Graphics (SGI)" }, "distanceKm": 0.142, "scrapedAt": "2026-07-18T12:00:00.000Z" } ```` ### Use cases - **CRM data cleaning** -- validate and standardize customer addresses in bulk. Flag incomplete or ambiguous records. - **Real estate analysis** -- geocode property listings for mapping, distance calculations, and market comparisons. - **Logistics & delivery** -- convert delivery addresses to coordinates for route optimization and coverage analysis. - **Market research** -- map competitor locations, store networks, or survey responses to geographic coordinates. - **Lead enrichment** -- add GPS coordinates, postal codes, and country data to lead databases. - **Academic research** -- geocode survey data, historical records, or field study locations for spatial analysis. - **Event planning** -- convert venue addresses to coordinates for attendee travel time calculations. - **Reverse geocoding** -- identify the nearest address for GPS tracker data, geotagged photos, or IoT sensor coordinates. - **OpenStreetMap enrichment** -- look up detailed metadata for known OSM objects including Wikipedia links, population, and multilingual names. ### API, MCP & integrations This actor runs on the Apify platform and can be called from anywhere: - **REST API** -- trigger runs and fetch results programmatically from any language. - **MCP server** -- connect directly to Claude, ChatGPT, or any AI agent that supports the Model Context Protocol. - **Python & JavaScript SDKs** -- native Apify client libraries for seamless integration. - **Webhooks** -- get notified when a geocoding batch completes. - **Zapier, Make, n8n** -- connect to 5,000+ apps with no-code automation platforms. - **LangChain & AI agents** -- use as a tool in autonomous AI agent pipelines. - **JSON, CSV, Excel export** -- download results in the format your workflow needs. - **Dataset chaining** -- pipe output from other Apify actors directly into this geocoder. ### FAQ **Does this require an API key?** No. Nominatim is a free public service provided by OpenStreetMap. No registration or API key is needed. **How fast is it?** Concurrent processing delivers hundreds of results per minute. A batch of 1,000 addresses typically finishes in a few minutes. Performance scales automatically based on available throughput. **What languages are supported?** Over 50 languages. Set the `language` parameter to any ISO 639-1 code. Results depend on available OpenStreetMap translations for each location. **How accurate is it?** Accuracy depends on OpenStreetMap data coverage. Excellent in North America, Europe, and major cities worldwide. The `confidenceScore` and `precision` fields help you assess result quality programmatically. **Can I geocode coordinates to addresses?** Yes. Set the mode to `reverse` and provide latitude/longitude pairs. **What is OSM Lookup mode?** If you already know the OpenStreetMap ID of a place (node, way, or relation), lookup mode retrieves its full details including address, coordinates, and enrichment data without a search query. **Is there a batch limit?** No hard limit. Process thousands of addresses in a single run with concurrent processing. **What is the structured search?** Instead of a free-text address string, you can pass street, city, state, postal code, and country as separate fields. This often produces more precise results for well-structured input data. **How does confidence scoring work?** Each result receives a 0-100 confidence score based on the precision of the match (building-level vs. city-level) and its importance ranking in OpenStreetMap. Letter grades (A-F) provide a quick quality assessment. **What data does OpenStreetMap provide?** Coordinates, full address hierarchy, bounding boxes, place classification, and -- where available -- Wikipedia/Wikidata links, population, elevation, contact information, and opening hours. # Actor input Schema ## `mode` (type: `string`): Choose geocoding direction: 'search' converts addresses to coordinates, 'reverse' converts coordinates to addresses, 'lookup' retrieves details for known OSM IDs. ## `queries` (type: `array`): One or more addresses or place names to geocode. Used in 'search' mode. Example: '1600 Amphitheatre Parkway, Mountain View, CA'. ## `latitudes` (type: `array`): Latitude values for reverse geocoding. Must match the number of longitudes. Example: '37.4221'. ## `longitudes` (type: `array`): Longitude values for reverse geocoding. Must match the number of latitudes. Example: '-122.0841'. ## `osmIds` (type: `array`): OpenStreetMap IDs for lookup mode. Format: type letter + ID (e.g. 'R146656' for relation, 'N240109189' for node, 'W104393803' for way). ## `street` (type: `string`): Street name and house number for structured address search. Use instead of free-text queries for higher precision. Example: '1600 Amphitheatre Parkway'. ## `city` (type: `string`): City or town name for structured address search. Example: 'Mountain View'. ## `state` (type: `string`): State or province for structured address search. Example: 'California'. ## `postalcode` (type: `string`): ZIP or postal code for structured address search. Example: '94043'. ## `country` (type: `string`): Country name for structured address search. Example: 'United States'. ## `countryCode` (type: `string`): Restrict results to a specific country using ISO 3166-1 alpha-2 code. Example: 'us', 'de', 'gb'. Leave empty for worldwide search. ## `language` (type: `string`): Preferred language for results using ISO 639-1 code. Examples: 'en' (English), 'de' (German), 'fr' (French), 'es' (Spanish), 'ja' (Japanese). ## `maxAlternatives` (type: `integer`): Number of alternative matches to return per query in search mode (1-50). Higher values return more candidates for ambiguous addresses. ## `referenceLat` (type: `number`): Latitude of a reference point. When set, each result includes a 'distanceKm' field showing how far it is from this point. ## `referenceLon` (type: `number`): Longitude of a reference point. Used together with Reference Latitude to calculate distances. ## `maxItems` (type: `integer`): Maximum number of results to return. Leave empty for no limit (subject to plan limits). ## Actor input object example ```json { "mode": "search", "queries": [ "1600 Amphitheatre Parkway, Mountain View, CA" ], "language": "en", "maxAlternatives": 1 } ``` # 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": [ "1600 Amphitheatre Parkway, Mountain View, CA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesmith/nominatim-geocoder").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": ["1600 Amphitheatre Parkway, Mountain View, CA"] } # Run the Actor and wait for it to finish run = client.actor("scrapesmith/nominatim-geocoder").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": [ "1600 Amphitheatre Parkway, Mountain View, CA" ] }' | apify call scrapesmith/nominatim-geocoder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesmith/nominatim-geocoder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nominatim Address Geocoder", "description": "Cheapest Nominatim geocoder. Forward, reverse & OSM lookup. Full address parsing, confidence scoring, enrichment. JSON/CSV/Excel. API, MCP, webhook, AI-agent ready.", "version": "0.1", "x-build-id": "CV66PUIatje24JFUC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesmith~nominatim-geocoder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesmith-nominatim-geocoder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesmith~nominatim-geocoder/runs": { "post": { "operationId": "runs-sync-scrapesmith-nominatim-geocoder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesmith~nominatim-geocoder/run-sync": { "post": { "operationId": "run-sync-scrapesmith-nominatim-geocoder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Geocoding Mode", "enum": [ "search", "reverse", "lookup" ], "type": "string", "description": "Choose geocoding direction: 'search' converts addresses to coordinates, 'reverse' converts coordinates to addresses, 'lookup' retrieves details for known OSM IDs.", "default": "search" }, "queries": { "title": "Addresses / Search Queries", "type": "array", "description": "One or more addresses or place names to geocode. Used in 'search' mode. Example: '1600 Amphitheatre Parkway, Mountain View, CA'.", "items": { "type": "string" } }, "latitudes": { "title": "Latitudes", "type": "array", "description": "Latitude values for reverse geocoding. Must match the number of longitudes. Example: '37.4221'.", "items": { "type": "string" } }, "longitudes": { "title": "Longitudes", "type": "array", "description": "Longitude values for reverse geocoding. Must match the number of latitudes. Example: '-122.0841'.", "items": { "type": "string" } }, "osmIds": { "title": "OSM IDs", "type": "array", "description": "OpenStreetMap IDs for lookup mode. Format: type letter + ID (e.g. 'R146656' for relation, 'N240109189' for node, 'W104393803' for way).", "items": { "type": "string" } }, "street": { "title": "Street (Structured Search)", "type": "string", "description": "Street name and house number for structured address search. Use instead of free-text queries for higher precision. Example: '1600 Amphitheatre Parkway'." }, "city": { "title": "City (Structured Search)", "type": "string", "description": "City or town name for structured address search. Example: 'Mountain View'." }, "state": { "title": "State (Structured Search)", "type": "string", "description": "State or province for structured address search. Example: 'California'." }, "postalcode": { "title": "Postal Code (Structured Search)", "type": "string", "description": "ZIP or postal code for structured address search. Example: '94043'." }, "country": { "title": "Country (Structured Search)", "type": "string", "description": "Country name for structured address search. Example: 'United States'." }, "countryCode": { "title": "Country Code Filter", "type": "string", "description": "Restrict results to a specific country using ISO 3166-1 alpha-2 code. Example: 'us', 'de', 'gb'. Leave empty for worldwide search." }, "language": { "title": "Language", "type": "string", "description": "Preferred language for results using ISO 639-1 code. Examples: 'en' (English), 'de' (German), 'fr' (French), 'es' (Spanish), 'ja' (Japanese).", "default": "en" }, "maxAlternatives": { "title": "Max Alternatives", "minimum": 1, "maximum": 50, "type": "integer", "description": "Number of alternative matches to return per query in search mode (1-50). Higher values return more candidates for ambiguous addresses.", "default": 1 }, "referenceLat": { "title": "Reference Latitude", "type": "number", "description": "Latitude of a reference point. When set, each result includes a 'distanceKm' field showing how far it is from this point." }, "referenceLon": { "title": "Reference Longitude", "type": "number", "description": "Longitude of a reference point. Used together with Reference Latitude to calculate distances." }, "maxItems": { "title": "Max Results", "minimum": 1, "type": "integer", "description": "Maximum number of results to return. Leave empty for no limit (subject to plan limits)." } } }, "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 } } } } } } } } } } ```