find-nearby

Find nearby places from OpenStreetMap data with distance and map links.

3|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/ever-oli/io --skill find-nearby-ever-oli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: find-nearby
Source: https://github.com/ever-oli/io/tree/main/skills/leisure/find-nearby
Command: npx skills add https://github.com/ever-oli/io --skill find-nearby-ever-oli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Identify and retrieve nearby places of interest around a user-provided location using OpenStreetMap data, without needing API keys.

Core Features & Use Cases

  • Geocode addresses or use coordinates to center a search and discover nearby amenities like restaurants, cafes, bars, pharmacies, and more.
  • Return actionable results with distance, type, coordinates, and direct map links for quick navigation.
  • Use case: a user wants to find a coffee shop within 1 km of a given location and get a simple list with distances and Google Maps links.

Quick Start

Run the script with --lat and --lon, or --near to geocode a location, to retrieve nearby places.

Frequently Asked Questions about find-nearby

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find nearby places using OpenStreetMap data without an API key?

You can find nearby places using OpenStreetMap data by passing coordinates or a location string to a script that queries Nominatim and Overpass, returning a structured JSON payload without requiring any API keys.

Can I geocode an address to search for nearby amenities like restaurants and cafes?

Yes, you can geocode an address string using Nominatim to center a search and discover nearby amenities like restaurants, cafes, bars, and pharmacies using Overpass queries.

Does Python OpenStreetMap querying return direct map links for navigation?

Yes, querying OpenStreetMap data with Python returns actionable results that include direct map links, alongside distance, place type, and coordinates, for quick navigation.

What is the best way to retrieve nearby points of interest in a structured format?

The best way to retrieve nearby points of interest in a structured format is using Nominatim and Overpass to query OpenStreetMap data, delivering a structured JSON payload with distances and coordinates.

Do I need to install any dependencies to run OpenStreetMap location queries in Python?

No, you do not need to install dependencies to run these OpenStreetMap location queries, as the script operates without external package requirements or API keys.