Find Nearby — Local Place Discovery

Find restaurants, cafes, bars, pharmacies, and other places near any location. Uses OpenStreetMap (free, no API keys). Works with:

• Coordinates from Telegram location pins (latitude/longitude in conversation)
• Addresses ("near 123 Main St, Springfield")
• Cities ("restaurants in downtown Austin")
• Zip codes ("pharmacies near 90210")
• Landmarks ("cafes near Times Square")

Quick Reference

# By coordinates (from Telegram location pin or user-provided)
python3 SKILL_DIR/scripts/find_nearby.py --lat  --lon  --type restaurant --radius 1500
By address, city, or landmark (auto-geocoded)

python3 SKILL_DIR/scripts/find_nearby.py --near "Times Square, New York" --type cafe
Multiple place types

python3 SKILL_DIR/scripts/find_nearby.py --near "downtown austin" --type restaurant --type bar --limit 10
JSON output

python3 SKILL_DIR/scripts/find_nearby.py --near "90210" --type pharmacy --json

Parameters

| Flag | Description | Default |
|------|-------------|---------|
| --lat, --lon | Exact coordinates | — |
| --near | Address, city, zip, or landmark (geocoded) | — |
| --type | Place type (repeatable for multiple) | restaurant |
| --radius | Search radius in meters | 1500 |
| --limit | Max results | 15 |
| --json | Machine-readable JSON output | off |

Common Place Types

restaurant, cafe, bar, pub, fast_food, pharmacy, hospital, bank, atm, fuel, parking, supermarket, convenience, hotel

Workflow

• Get the location. Look for coordinates (latitude: ... / longitude: ...) from a Telegram pin, or ask the user for an address/city/zip.

• Ask for preferences (only if not already stated): place type, how far they're willing to go, any specifics (cuisine, "open now", etc.).

• Run the script with appropriate flags. Use --json if you need to process results programmatically.

• Present results with names, distances, and Google Maps links. If the user asked about hours or "open now," check the hours field in results — if missing or unclear, verify with web_search.

• For directions, use the directions_url from results, or construct: https://www.google.com/maps/dir/?api=1&origin=,&destination=,

Tips

• If results are sparse, widen the radius (1500 → 3000m)
• For "open now" requests: check the hours field in results, cross-reference with web_search for accuracy since OSM hours aren't always complete
• Zip codes alone can be ambiguous globally — prompt the user for country/state if results look wrong
• The script uses OpenStreetMap data which is community-maintained; coverage varies by region