Geoskill: OSM Data Download
Download OpenStreetMap features via Overpass API. Query by bbox, tag filter, or administrative place name (e.g. 北京市朝阳区). Output GeoJSON and/or Shapefile (UTF-8 with .cpg). Supports…
ruiduobao
@ruiduobao
Install
$ openclaw skills install @ruiduobao/geoskill-osm-data-downloadOSM Data Download
Download OpenStreetMap features via the Overpass API. Query by bounding box, raw tag, semantic preset, or administrative place name (e.g. "北京市朝阳区"). Output GeoJSON and/or Shapefile, optionally zipped, with an automatic QA summary.
Features
- By bbox + tag: Download roads, buildings, POIs, landuse, natural features
- By place name (NEW):
download-place --place "北京市朝阳区" --preset waterresolves the admin polygon via Nominatim, queries within it, optionally clips to the boundary, and writes a QA summary - Semantic presets (NEW):
water/road/building/greencombine multiple tag filters in one Overpass query - Multi-format export (NEW):
--formats geojson,shapefilewrites both at once; mixed geometry is auto-split - Shapefile zip (NEW):
--zip-shapefileproduces a complete .zip bundle (.shp/.shx/.dbf/.prj/.cpg) ready for QGIS/ArcGIS - Boundary clipping (NEW): cross-border features are clipped to the admin polygon so the output exactly matches the requested area
- QA summary (NEW):
--qawrites a JSON next to the outputs with feature count, geometry stats, bbox, CRS, the resolved place (OSM id, admin level, display name), the Overpass query that ran, and the list of output files - Custom Overpass QL: Run your own queries
- Multiple outputs: GeoJSON and Shapefile
- Rate limiting & endpoint fallback: tries multiple Overpass mirrors on 429/504
- UTF-8 encoded Shapefile DBF + .cpg: Chinese names survive into QGIS/ArcGIS
- Tag reference: Built-in list of common OSM tags
Common Feature Types
| Type | OSM Tag | Examples |
|---|---|---|
| Roads | highway=* | motorway, primary, residential |
| Buildings | building=* | yes, residential, commercial |
| POIs | amenity=* | restaurant, school, hospital |
| Landuse | landuse=* | residential, forest, farmland |
| Natural | natural=* | water, wood, grassland |
| Waterways | waterway=* | river, stream, canal |
Usage
Download roads in a bounding box
python scripts\osm-data-download.py download \
--bbox "116.0,39.5,116.8,40.2" \
--feature highway --output roads.geojson
Download buildings
python scripts\osm-data-download.py download \
--bbox "116.3,39.8,116.5,40.0" \
--feature building --output buildings.geojson --format geojson
Custom Overpass QL query
python scripts\osm-data-download.py query \
--query '[out:json][timeout:60];(node["amenity"="restaurant"](39.8,116.3,40.0,116.5););out body;' \
--output restaurants.geojson
Download by place name (NEW)
# One-shot: water features in Chaoyang District, Beijing
python scripts\osm-data-download.py download-place \
--place "北京市朝阳区" \
--preset water \
--formats "geojson,shapefile" \
--zip-shapefile \
--qa \
-o chaoyang_water
Outputs (with mixed geometry auto-split into Point/LineString/Polygon shapefiles):
chaoyang_water.geojson— all featureschaoyang_water_Point.shp+ sidecarschaoyang_water_LineString.shp+ sidecarschaoyang_water_Polygon.shp+ sidecarschaoyang_water.zip— all shapefile sidecars in one archivechaoyang_water.qa.json— feature count, bbox, CRS, OSM place, query, output files
Download by place + raw feature
python scripts\osm-data-download.py download-place \
--place "成都市" \
--feature highway \
-o chengdu_roads.geojson
Disable boundary clipping
By default, features are clipped to the admin polygon. To get the raw bbox-only result:
python scripts\osm-data-download.py download-place --place "朝阳区" --preset water --no-clip -o x
List common tags and presets
python scripts\osm-data-download.py list-tags
Installation
pip install requests>=2.28.0 tqdm>=4.64.0
# Or: pip install -r scripts/requirements.txt
Parameters
download (bbox + tag)
--bbox: Bounding box aslon_min,lat_min,lon_max,lat_max--feature: Feature type (highway,building,amenity,shop,tourism,landuse,natural,waterway)--value: Specific tag value (e.g.,restaurant,motorway). Omit for all values.--output: Output file path--format: Output format (geojson,shapefile)--query: Custom Overpass QL query string--timeout: API timeout in seconds (default: 60)--rate-delay: Delay between requests in seconds (default: 1.0)
download-place (NEW: by admin place name)
--place: Chinese or English place name (e.g.北京市朝阳区,Chaoyang District, Beijing)--preset: Semantic preset (water,road,building,green) — combines multiple tag filters in one Overpass query--feature: Alternative to--preset; same choices asdownload--value: Specific tag value (with--feature)-o/--output: Base output path (extensions are auto-set per format)--formats: Comma-separated list, e.g.geojson,shapefile. Default: single format from--format.--zip-shapefile: Also write a complete .zip of the shapefile sidecars--no-clip: Skip clipping to the admin polygon (default: clip)--qa: Write a QA summary JSON--timeout,--rate-delay: same asdownload
Output
- GeoJSON: Standard GeoJSON with OSM tags as properties
- Shapefile: ESRI Shapefile with attribute table
Geometry Types
OSM features come in three geometry types — choose based on your use case:
| Type | OSM Element | Typical Features | Use For |
|---|---|---|---|
| Points | node | POIs, amenities, shops | Point-based analysis, heatmaps |
| Lines | way (open) | roads, rivers, boundaries | Network analysis, routing |
| Polygons | way (closed), relation | buildings, landuse, lakes | Area calculations, spatial join |
The tool automatically detects geometry type. Use --geometry-type to filter.
Maximum Bounding Box Size
Large bounding boxes cause timeouts and excessive data:
| Area Size | Recommendation |
|---|---|
| <0.25°×0.25° | Safe for most queries |
| 0.25°–0.5°×0.25°–0.5° | Recommended maximum for dense urban areas |
| >0.5°×0.5° | Split into smaller tiles; use --split-bbox 4 |
# Auto-split large bbox into 4 sub-queries
python scripts\osm-data-download.py download \
--bbox "115.5,39.0,117.5,41.0" \
--feature building --output buildings.geojson --split-bbox 4
Shapefile Output
Export directly to ESRI Shapefile format:
python scripts\osm-data-download.py download \
--bbox "116.3,39.8,116.5,40.0" \
--feature building --output buildings.shp --format shapefile
Note: Shapefile column names are truncated to 10 characters. Use --format geojson for full attribute names.
Character Encoding
Shapefile attribute tables use UTF-8 encoding by default. If you see garbled text in ArcGIS:
- Set environment variable:
SHAPE_ENCODING=UTF-8 - Or open in QGIS (handles UTF-8 natively)
- GeoJSON output is always UTF-8
Error Handling and Retry Logic
The tool handles common HTTP errors automatically:
| HTTP Code | Meaning | Tool Behavior |
|---|---|---|
| 400 | Bad query syntax | Reports error, suggests fixes |
| 429 | Rate limit exceeded | Waits 60s, retries up to 3 times |
| 504 | Server timeout | Increases timeout, retries up to 3 times |
| 500 | Server error | Waits 30s, retries |
Use --max-retries 5 and --retry-delay 120 to customize retry behavior.
Alternative Overpass Endpoints
If the primary endpoint is slow or unavailable:
| Endpoint | Location | Notes |
|---|---|---|
https://overpass-api.de/api/interpreter | Germany | Default, most stable |
https://z.overpass-api.de/api/interpreter | Germany | Mirror |
https://lz4.overpass-api.de/api/interpreter | Germany | Mirror |
https://overpass.kumi.systems/api/interpreter | Finland | Alternative |
https://overpass.openstreetmap.ru/api/interpreter | Russia | Alternative |
Specify with --endpoint https://overpass.kumi.systems/api/interpreter.
Empty Results Handling
If a query returns no features:
- Verify bbox coordinates (lon/lat order, sign)
- Check tag spelling against OSM wiki
- Try larger bbox — the area may have no mapped features
- Use
list-tagsto see available features in the area
The tool prints a warning and exits gracefully on empty results.
Semantic Presets
Presets combine multiple tag filters in a single Overpass query, so the result covers everything matching that semantic concept without you having to know the OSM tag vocabulary:
| Preset | OSM tags covered | What you get |
|---|---|---|
water | natural=water, waterway=*, landuse=reservoir, `water=river | lake |
road | highway=* | All roads, paths, footways, service roads |
building | building=* | All building footprints |
green | leisure=park/garden, landuse=forest/grass/meadow, natural=wood/grassland/heath | Parks, forests, meadows, grasslands |
QA Summary
When --qa is used, a JSON file is written next to the outputs with this shape:
{
"generated_at": "2026-07-25T12:44:15+00:00",
"generator": "osm-data-download",
"feature_count": 979,
"geometry_types": {"Point": 2, "Polygon": 793, "LineString": 184},
"property_keys": ["name", "name:zh", "natural", "waterway", "..."],
"bbox": [116.3447, 39.8089, 116.6392, 40.1101],
"crs": "EPSG:4326 (WGS84)",
"place": {
"query": "北京市朝阳区",
"display_name": "朝阳区, 北京市, 中国",
"osm_type": "relation", "osm_id": 2988933,
"admin_level": "6",
"bbox": [116.3447, 39.8089, 116.6392, 40.1101],
"clipped_to_boundary": true
},
"preset": {"name": "water", "filters": ["..."]},
"output_formats": ["geojson", "shapefile"],
"output_files": ["chaoyang_water.geojson", "chaoyang_water.zip"]
}
Chinese Place Name Resolution
download-place calls Nominatim with countrycodes=cn and runs multiple
attempts (the raw place string, a structured {state, city, county} query,
and the original string with whitespace) so a name like 朝阳区,
北京市朝阳区, or 朝阳区, 北京市 all resolve to the same relation
(OSM relation/2988933 for Chaoyang, Beijing). If the top candidate is
ambiguous (multiple admin polygons with the same name), the command
raises AmbiguousPlaceError and lists the candidates rather than
silently picking one.
Please cite OpenStreetMap data (required by ODbL license):
@misc{osm_contributors,
author = {{OpenStreetMap contributors}},
title = {OpenStreetMap Data},
howpublished = {\url{https://www.openstreetmap.org}},
year = {2024},
note = {ODbL License}
}
@software{osm_data_download,
author = {ruiduobao},
title = {OSM Data Download Tool},
url = {https://github.com/ruiduobao/osm-data-download},
version = {0.1.0},
year = {2024},
}
When using OSM data, display: © OpenStreetMap contributors (ODbL).
Troubleshooting
| Error | Cause | Solution |
|---|---|---|
ConnectionError | Network issue | Check internet, retry |
HTTP 429 | Rate limit | Wait 60s, retry |
ValueError | Invalid bbox format | Check lon_min,lat_min,lon_max,lat_max |
| Empty output | No features in area | Verify bbox, check tag spelling |
ModuleNotFoundError | Missing dep | Run pip install |
HTTP 504 | Server timeout | Reduce bbox size, increase --timeout |
| Garbled text in ArcGIS | Encoding issue | Use UTF-8 or output GeoJSON |
API Information
- Endpoint:
https://overpass-api.de/api/interpreter(with fallback tooverpass.kumi.systemsandoverpass.private.coffeeon 429/504) - No API key required
- Nominatim:
https://nominatim.openstreetmap.org/search(with fallback tonominatim.openstreetmap.frwhen the main endpoint is rate-limited) - Rate limits: Please be respectful. Large queries may take time.
- Data license: ODbL (OpenStreetMap contributors)
Dependencies
requests>=2.28.0
tqdm>=4.64.0
Data Source
OpenStreetMap via Overpass API. Data © OpenStreetMap contributors (ODbL).
Visualization
- QGIS: Load output GeoJSON/Shapefile directly → Layer → Add Layer → Add Vector Layer
- Python (geopandas):
gdf = gpd.read_file('output.geojson'); gdf.plot() - Leaflet/Mapbox: Convert to GeoJSON and load in web map
- Kepler.gl: Drag-and-drop GeoJSON for interactive visualization
Advanced Usage
Batch Multi-City Download
# Download buildings for multiple cities
declare -A cities=( ["北京"]="116.0 39.8 116.8 40.2" ["上海"]="121.0 30.8 122.0 31.5" )
for city in "${!cities[@]}"; do
python scripts\osm-data-download.py download --feature building --bbox ${cities[$city]} --output osm_${city}_buildings.geojson
sleep 2
done
CI/CD Integration (GitHub Actions)
# .github/workflows/update-osm.yml
name: Update OSM Data
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