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Find My Location

Track a shared contact's location via Apple Find My with street-level accuracy. Returns address, city, and context (home/work/out) by reading map landmarks. Supports configurable known locations and vision fallback for unknown places.

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name: findmy-location description: Track a shared contact's location via Apple Find My with street-level accuracy. Returns address, city, and context (home/work/out) by reading map landmarks. Supports configurable known locations and vision fallback for unknown places.

Find My Location

Track shared contacts via Apple Find My with street-corner accuracy.

Requirements

  • macOS 13+ with Find My app
  • Python 3.9+
  • iCloud account signed in on your Mac (for Find My access)
  • Location sharing enabled from the contact you want to track
  • peekaboo - screen reading CLI (GitHub)
  • Hammerspoon (optional) - for reliable UI clicking (hammerspoon.org)

Prerequisites

1. iCloud & Find My Setup

Your Mac must be signed into an iCloud account with Find My enabled:

  • System Settings → Apple ID → iCloud → Find My Mac (enabled)
  • The person you want to track must share their location with this iCloud account via Find My

2. Install peekaboo

brew install steipete/tap/peekaboo

Grant Accessibility and Screen Recording permissions when prompted (System Settings → Privacy & Security).

3. Install Hammerspoon (optional but recommended)

Hammerspoon provides reliable clicking that works across all apps. Without it, clicks may occasionally go to the wrong window.

brew install hammerspoon
open -a Hammerspoon

Add to ~/.hammerspoon/init.lua:

local server = hs.httpserver.new(false, false)
server:setPort(9090)
server:setCallback(function(method, path, headers, body)
    local data = body and hs.json.decode(body) or {}
    if path == "/click" then
        hs.eventtap.leftClick({x=data.x, y=data.y})
        return hs.json.encode({status="clicked", x=data.x, y=data.y}), 200, {}
    end
    return hs.json.encode({error="not found"}), 404, {}
end)
server:start()

Reload config (Hammerspoon menu → Reload Config), then create ~/.local/bin/hsclick:

#!/bin/bash
curl -s -X POST localhost:9090/click -d "{\"x\":$2,\"y\":$3}"
chmod +x ~/.local/bin/hsclick

Installation

git clone https://github.com/poiley/findmy-location.git
cd findmy-location
./install.sh

Or via ClawdHub:

clawdhub install findmy-location

Configuration

Create ~/.config/findmy-location/config.json:

{
  "target": "John",
  "known_locations": [
    {
      "name": "home",
      "address": "123 Main St, City, ST",
      "markers": ["landmark near home"]
    },
    {
      "name": "work",
      "address": "456 Office Blvd, City, ST",
      "markers": ["landmark near work"]
    }
  ]
}
FieldDescription
targetContact name to track (optional - defaults to first shared contact)
known_locationsArray of places you want labeled with addresses
markersLandmarks visible on the Find My map when at that location

Usage

findmy-location          # Human-readable output
findmy-location --json   # JSON output

Example Output

123 Main St, City, ST (home) - Now
{
  "person": "contact@email.com",
  "address": "Main St & 1st Ave",
  "city": "Anytown",
  "state": "WA",
  "status": "Now",
  "context": "out",
  "screenshot": "/tmp/findmy-12345.png",
  "needs_vision": false
}
FieldDescription
contexthome, work, out, or unknown
needs_visionIf true, use AI vision on screenshot to read street names
screenshotPath to captured map image

How It Works

  1. Opens Find My app and selects target contact
  2. Captures map and reads accessibility data
  3. Matches visible landmarks against configured known locations
  4. Returns address and context, or flags for vision analysis

Troubleshooting

IssueSolution
Clicks go to wrong windowInstall Hammerspoon (see prerequisites)
"No person found"Ensure location sharing is enabled in Find My
Always shows needs_vision: trueAdd markers for frequently visited places
Permission errorsGrant peekaboo Accessibility + Screen Recording access

License

MIT

如何使用「Find My Location」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Find My Location」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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