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Google Maps

Google Maps integration for OpenClaw with Routes API. Use for: (1) Distance/travel time calculations with traffic prediction, (2) Turn-by-turn directions, (3...

v3.1.2
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Description


name: google-maps description: > Google Maps integration for OpenClaw with Routes API. Use for: (1) Distance/travel time calculations with traffic prediction, (2) Turn-by-turn directions, (3) Distance matrix between multiple points, (4) Geocoding addresses to coordinates and reverse, (5) Places search and details, (6) Transit planning with arrival times. Supports future departure times, traffic models (pessimistic/optimistic), avoid options (tolls/highways), and multiple travel modes (driving/walking/bicycling/transit). version: 3.1.2 author: Leo 🦁 tags: [maps, places, location, navigation, google, traffic, directions, geocoding, routes-api] metadata: {"clawdbot":{"emoji":"🗺️","requires":{"env":["GOOGLE_API_KEY"]},"primaryEnv":"GOOGLE_API_KEY","secondaryEnv":["GOOGLE_MAPS_API_KEY"],"install":[{"id":"pip","kind":"pip","package":"requests","label":"Install requests library"}]}} allowed-tools: [exec]

Google Maps 🗺️

Google Maps integration powered by the Routes API.

Requirements

  • GOOGLE_API_KEY environment variable
  • Enable in Google Cloud Console: Routes API, Places API, Geocoding API

Configuration

Env Variable Default Description
GOOGLE_API_KEY - Required. Your Google Maps API key
GOOGLE_MAPS_API_KEY - Alternative to GOOGLE_API_KEY (fallback)
GOOGLE_MAPS_LANG en Response language (en, he, ja, etc.)

Set in OpenClaw config:

{
  "env": {
    "GOOGLE_API_KEY": "AIza...",
    "GOOGLE_MAPS_LANG": "en"
  }
}

Script Location

python3 skills/google-maps/lib/map_helper.py <action> [options]

Actions

distance - Calculate travel time

python3 lib/map_helper.py distance "origin" "destination" [options]

Options:

Option Values Description
--mode driving, walking, bicycling, transit Travel mode (default: driving)
--depart now, +30m, +1h, 14:00, 2026-02-07 08:00 Departure time
--arrive 14:00 Arrival time (transit only)
--traffic best_guess, pessimistic, optimistic Traffic model
--avoid tolls, highways, ferries Comma-separated

Examples:

python3 lib/map_helper.py distance "New York" "Boston"
python3 lib/map_helper.py distance "Los Angeles" "San Francisco" --depart="+1h"
python3 lib/map_helper.py distance "Chicago" "Detroit" --depart="08:00" --traffic=pessimistic
python3 lib/map_helper.py distance "London" "Manchester" --mode=transit --arrive="09:00"
python3 lib/map_helper.py distance "Paris" "Lyon" --avoid=tolls,highways

Response:

{
  "distance": "215.2 mi",
  "distance_meters": 346300,
  "duration": "3 hrs 45 mins",
  "duration_seconds": 13500,
  "static_duration": "3 hrs 30 mins",
  "duration_in_traffic": "3 hrs 45 mins"
}

directions - Turn-by-turn route

python3 lib/map_helper.py directions "origin" "destination" [options]

Additional options (beyond distance):

Option Description
--alternatives Return multiple routes
--waypoints Intermediate stops (pipe-separated)
--optimize Optimize waypoint order (TSP)

Examples:

python3 lib/map_helper.py directions "New York" "Washington DC"
python3 lib/map_helper.py directions "San Francisco" "Los Angeles" --alternatives
python3 lib/map_helper.py directions "Miami" "Orlando" --waypoints="Fort Lauderdale|West Palm Beach" --optimize

Response includes: summary, labels, duration, static_duration, warnings, steps[], optimized_waypoint_order


matrix - Distance matrix

Calculate distances between multiple origins and destinations:

python3 lib/map_helper.py matrix "orig1|orig2" "dest1|dest2"

Example:

python3 lib/map_helper.py matrix "New York|Boston" "Philadelphia|Washington DC"

Response:

{
  "origins": ["New York", "Boston"],
  "destinations": ["Philadelphia", "Washington DC"],
  "results": [
    {"origin_index": 0, "destination_index": 0, "distance": "97 mi", "duration": "1 hr 45 mins"},
    {"origin_index": 0, "destination_index": 1, "distance": "225 mi", "duration": "4 hrs 10 mins"}
  ]
}

geocode - Address to coordinates

python3 lib/map_helper.py geocode "1600 Amphitheatre Parkway, Mountain View, CA"
python3 lib/map_helper.py geocode "10 Downing Street, London"

reverse - Coordinates to address

python3 lib/map_helper.py reverse 40.7128 -74.0060  # New York City
python3 lib/map_helper.py reverse 51.5074 -0.1278  # London

search - Find places

python3 lib/map_helper.py search "coffee near Times Square"
python3 lib/map_helper.py search "pharmacy in San Francisco" --open

details - Place information

python3 lib/map_helper.py details "<place_id>"

Traffic Models

Model Use Case
best_guess Default balanced estimate
pessimistic Important meetings (worst-case)
optimistic Best-case scenario

Regional Notes

Some features may not be available in all countries:

Feature Availability
--fuel-efficient US, EU, select countries
--shorter Limited availability
--mode=two_wheeler Asia, select countries

Check Google Maps coverage for details.


Multilingual Support

Works with addresses in any language:

# Hebrew
python3 lib/map_helper.py distance "תל אביב" "ירושלים"
python3 lib/map_helper.py geocode "דיזנגוף 50, תל אביב"

# Japanese
python3 lib/map_helper.py distance "東京" "大阪"

# Arabic
python3 lib/map_helper.py distance "دبي" "أبو ظبي"

Language configuration:

  1. Set default via env: GOOGLE_MAPS_LANG=he (persists)
  2. Override per-request: --lang=ja
# Set Hebrew as default in OpenClaw config
GOOGLE_MAPS_LANG=he

# Override for specific request
python3 lib/map_helper.py distance "Tokyo" "Osaka" --lang=ja

Help

python3 lib/map_helper.py help

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Compatible Platforms

Pricing

Free

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