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Browser & Automation @qrost Updated 7/20/2026 1,654 downloads 1 stars Security: Pass

Map Grabber OpenClaw Plugin & Skill | ClawHub

Looking to integrate Map Grabber into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate browser & automation tasks instantly, without having to write custom tools from scratch.

What this skill does

Fetch OpenStreetMap vector data (streets, buildings) for an address and export to SVG, GeoPackage, or DXF for CAD/Rhino.

Install

ClawHub CLI
openclaw skills install @qrost/map-grabber
Node.js (npx)
npx clawhub@latest install map-grabber

Full SKILL.md

Open original
Metadata table.
nameversiondescription
map-grabber1.1.2Fetch OpenStreetMap vector data (streets, buildings) for an address and export to SVG, GeoPackage, or DXF for CAD/Rhino.

SKILL.md content below is scrollable.

Map Grabber

Get site base maps from OpenStreetMap: provide an address, receive street network and optional building footprints as vector data (SVG, GeoPackage, or DXF) for use in CAD or Rhino.

Dependencies

  • osmnx (OSM data and graph; requires geopandas, networkx)
  • ezdxf (optional; for DXF export)

Setup: OpenClaw does not install Python packages automatically. After installing this skill, run once: pip install -r requirements.txt (from the skill folder). If a script fails with ModuleNotFoundError, install the missing package (osmnx pulls geopandas; for DXF add ezdxf).

Usage

Grab map by address

Parameters:

  • address: Address or place name (e.g. "SoHo, New York" or "123 Main St, Los Angeles").
  • --dist: Radius in meters around the point (default 500).
  • --buildings: Also download building footprints.
  • --svg: Output path for SVG (street network plot).
  • --png: Output path for PNG (same map as image; use for Telegram or preview).
  • --gpkg: Output path for GeoPackage (streets and optionally buildings as layers).
  • --dxf: Output path for DXF (requires ezdxf; for CAD/Rhino).

At least one of --svg, --png, --gpkg, or --dxf is required.

# PNG for Telegram + GeoPackage
python3 scripts/grab_map.py "Times Square, New York" --dist 400 --png site.png --gpkg site.gpkg

# With buildings and DXF
python3 scripts/grab_map.py "Shanghai Tower, Shanghai" --dist 500 --buildings --png site.png --gpkg site.gpkg --dxf site.dxf

Output: street network (and optionally buildings) in the requested formats.

Sending images to Telegram

Used from the OpenClaw Telegram conversation. To show the user the map: run the script with --png <path>.png (e.g. --png site.png), then send that PNG to the conversation via the OpenClaw message/media tool. Use --png (not only --svg) when the user expects an image in chat.

OpenClaw allowed paths: The message tool only sends files from allowed dirs (~/.openclaw/media/, ~/.openclaw/agents/, or /tmp). Use e.g. --png ~/.openclaw/media/site.png or --png /tmp/site.png; do not use the skill install directory or sending will fail.

Agent behavior: When the user asks for a site map, base map, or OSM map (by address or place name), run the script directly using exec: call grab_map.py with the given address, --png <path>.png with <path> under an allowed dir (and optional --dist, --buildings), then send the generated PNG to the user. Do not ask for confirmation; execute and return the image and a short confirmation.

Examples

User: "Get me a site base map for 123 Main St" or "抓一张这个地址的场地底图."
Action: Run grab_map.py "123 Main St" --png /tmp/site.png (or similar path), then send the PNG to the user and confirm.

User: "Get me a site base map for 123 Main St as SVG and DXF."
Action: Run grab_map.py with that address, --svg, --dxf, and optionally --png for chat; return the file paths and confirmation.

User: "I need OSM data for this address with building footprints for Rhino."
Action: Run with --buildings, --gpkg and optionally --dxf; if they want an image in chat, also use --png and send it.

ClawHub Registry URL: https://clawhub.ai/qrost/skills/map-grabber

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