OpenStreetMap POI Amenities and Geocoding Extractor API

API ID 14189

Effortlessly retrieve Points of Interest (POIs) such as restaurants, hospitals, schools, and shops from OpenStreetMap using our Geocoding Extractor API. Access geographic coordinates, postal addresses, and detailed tags for any city or defined bounding box with ease.

API Documentation

Endpoints

Request
The "Execute OpenStreetMap POI Amenities and Geocoding Extractor API" is designed to facilitate the extraction and processing of Points of Interest (POIs) and associated amenity data from the OpenStreetMap (OSM) database, along with geocoding capabilities for address resolution. This endpoint enables users to retrieve detailed information about various amenities, such as restaurants, parks, and libraries, based on specified geographic coordinates or user-defined queries. The API returns structured data in a machine-readable format, including attributes like names, types, geographic coordinates, and additional metadata. Potential use cases include urban planning, location-based services, travel and tourism applications, and mobile app development, where understanding local amenities is crucial for enhancing user experiences and creating data-driven insights about specific locales.
Endpoint ID: 35244
POST https://zylalabs.com/api/14189/openstreetmap+poi+amenities+and+geocoding+extractor+api/35244/execute+openstreetmap+poi+amenities+and+geocoding+extractor+api
INPUT PARAMETERS

Execute OpenStreetMap POI Amenities and Geocoding Extractor API — Endpoint Features

Object Description
Request Body Required Json

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

API EXAMPLE RESPONSE
JSON
[
    {
        "id": "openstreetmap-poi-api_1000",
        "service": "openstreetmap-poi-api",
        "title": "OPENSTREETMAP POI Record #1",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for openstreetmap-poi-api",
        "inputReceived": {
            "queries": [
                "cafe in London",
                "pharmacy in Berlin"
            ],
            "amenity": "sample_value",
            "countryCodes": "sample_value",
            "maxItems": 50
        },
        "data": {
            "index": 1,
            "relevanceScore": 0.95,
            "summary": "High-fidelity structured response for OPENSTREETMAP POI query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPENSTREETMAP",
                "timestamp": "2026-10-12T11:13:18.425Z"
            }
        },
        "timestamp": "2026-10-12T11:13:18.425Z"
    },
    {
        "id": "openstreetmap-poi-api_1001",
        "service": "openstreetmap-poi-api",
        "title": "OPENSTREETMAP POI Record #2",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for openstreetmap-poi-api",
        "inputReceived": {
            "queries": [
                "cafe in London",
                "pharmacy in Berlin"
            ],
            "amenity": "sample_value",
            "countryCodes": "sample_value",
            "maxItems": 50
        },
        "data": {
            "index": 2,
            "relevanceScore": 0.8999999999999999,
            "summary": "High-fidelity structured response for OPENSTREETMAP POI query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPENSTREETMAP",
                "timestamp": "2026-10-12T11:13:18.425Z"
            }
        },
        "timestamp": "2026-10-12T11:13:18.425Z"
    },
    {
        "id": "openstreetmap-poi-api_1002",
        "service": "openstreetmap-poi-api",
        "title": "OPENSTREETMAP POI Record #3",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for openstreetmap-poi-api",
        "inputReceived": {
            "queries": [
                "cafe in London",
                "pharmacy in Berlin"
            ],
            "amenity": "sample_value",
            "countryCodes": "sample_value",
            "maxItems": 50
        },
        "data": {
            "index": 3,
            "relevanceScore": 0.85,
            "summary": "High-fidelity structured response for OPENSTREETMAP POI query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPENSTREETMAP",
                "timestamp": "2026-10-12T11:13:18.425Z"
            }
        },
        "timestamp": "2026-10-12T11:13:18.425Z"
    },
    {
        "id": "openstreetmap-poi-api_1003",
        "service": "openstreetmap-poi-api",
        "title": "OPENSTREETMAP POI Record #4",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for openstreetmap-poi-api",
        "inputReceived": {
            "queries": [
                "cafe in London",
                "pharmacy in Berlin"
            ],
            "amenity": "sample_value",
            "countryCodes": "sample_value",
            "maxItems": 50
        },
        "data": {
            "index": 4,
            "relevanceScore": 0.7999999999999999,
            "summary": "High-fidelity structured response for OPENSTREETMAP POI query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPENSTREETMAP",
                "timestamp": "2026-10-12T11:13:18.425Z"
            }
        },
        "timestamp": "2026-10-12T11:13:18.425Z"
    },
    {
        "id": "openstreetmap-poi-api_1004",
        "service": "openstreetmap-poi-api",
        "title": "OPENSTREETMAP POI Record #5",
        "status": "VERIFIED_ACTIVE",
        "result": "Processed query successfully for openstreetmap-poi-api",
        "inputReceived": {
            "queries": [
                "cafe in London",
                "pharmacy in Berlin"
            ],
            "amenity": "sample_value",
            "countryCodes": "sample_value",
            "maxItems": 50
        },
        "data": {
            "index": 5,
            "relevanceScore": 0.75,
            "summary": "High-fidelity structured response for OPENSTREETMAP POI query parameter extraction.",
            "attributes": {
                "region": "Global",
                "category": "OPENSTREETMAP",
                "timestamp": "2026-10-12T11:13:18.425Z"
            }
        },
        "timestamp": "2026-10-12T11:13:18.425Z"
    }
]
Execute OpenStreetMap POI Amenities and Geocoding Extractor API — CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/14189/openstreetmap+poi+amenities+and+geocoding+extractor+api/35244/execute+openstreetmap+poi+amenities+and+geocoding+extractor+api' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{"queries":["cafe in London","pharmacy in Berlin"],"amenity":"sample_value","countryCodes":"sample_value","maxItems":50}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the OpenStreetMap POI Amenities and Geocoding Extractor API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

Effortlessly retrieve Points of Interest (POIs) such as restaurants, hospitals, schools, and shops from OpenStreetMap using our Geocoding Extractor API. Access geographic coordinates, postal addresses, and detailed tags for any city or defined bounding box with ease.

OpenStreetMap POI Amenities and Geocoding Extractor API FAQs

The API returns structured data about Points of Interest (POIs) including attributes like names, types, geographic coordinates, postal addresses, and additional metadata for various amenities such as restaurants, hospitals, and schools.

Key fields in the response include "id," "title," "status," "result," "inputReceived," and "data," which contains attributes like "region," "category," and "timestamp," providing comprehensive details about the queried POIs.

Users can customize requests by specifying parameters such as "queries" (e.g., "cafe in London"), "amenity" type, "countryCodes," and "maxItems" to control the scope and detail of the returned data.

The API provides information on various amenities, including their names, types, geographic coordinates, postal addresses, and metadata, allowing users to retrieve detailed insights about local services and facilities.

The response data is organized in a JSON format, with each POI represented as an object containing fields for identification, status, input parameters, and a nested "data" object that includes attributes and metadata.

Typical use cases include urban planning, location-based services, travel and tourism applications, and mobile app development, where understanding local amenities enhances user experiences and supports data-driven insights.

Data accuracy is maintained through regular updates from OpenStreetMap contributors, ensuring that the information reflects current conditions and changes in the availability of amenities.

Users can utilize the returned data by parsing the JSON response to extract relevant attributes, integrating it into applications for location-based services, or conducting analyses for urban planning and tourism insights.

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