plot-finder

One Plot class per country — geometry, area and the local cadastral attributes.

Installation

pip install plot-finder

Quick start

Every country supports the same three lookup modes (where the cadastre exposes them):

from plot_finder import Plot

Plot(country="PL", plot_id="141201_1.0001.6509")          # by cadastral id
Plot(country="PL", x=21.0122, y=52.2297)                  # by coordinates
Plot(country="PL", address="Warszawa, Marszalkowska 1")   # by address

Coordinates are lon/lat in EPSG:4326. Set srid= for another output CRS.

Every Plot has:

plot.geojson       # geometry as GeoJSON
plot.bbox          # bounding box (minx, miny, maxx, maxy)
plot.centroid      # (x, y)
plot.area          # m²
plot.datasource    # which cadastre answered

Coverage

Country	id	coords	address	Notes
🇵🇱 Poland	✓	✓	✓
🇫🇷 France	✓	✓	✓
🇪🇸 Spain	✓	✓	✓
🇳🇱 Netherlands	✓	✓	✓
🇨🇭 Switzerland	✓	✓	✓
🇪🇪 Estonia	✓	✓	✓
🇨🇾 Cyprus	✓	✓	✓
🇱🇹 Lithuania	✓	✓	✓
🇱🇻 Latvia	✓	✓	✓
🇵🇹 Portugal	✓	✓	—	partial coverage
🇸🇮 Slovenia	✓	✓	—
🇮🇹 Italy	—	✓	✓	excl. Trento & Bolzano
🇩🇪 Germany	—	✓	✓	10 of 16 states
🇳🇴 Norway	✓	✓	✓
🇩🇰 Denmark	✓	✓	✓
🇧🇪 Belgium	✓	✓	✓

🇵🇱 Poland

Attributes: voivodeship, county, commune, region, parcel

plot = Plot(country="PL", plot_id="141201_1.0001.6509")
plot = Plot(country="PL", x=21.0122, y=52.2297)
plot = Plot(country="PL", address="Warszawa, Marszalkowska 1")

print(plot.voivodeship, plot.commune, plot.area)

🇫🇷 France

Attributes: department, insee, commune, section, numero

plot = Plot(country="FR", plot_id="33063000KE0078")
plot = Plot(country="FR", x=-0.5792, y=44.8378)
plot = Plot(country="FR", address="30 Rue Sainte-Catherine, Bordeaux")

print(plot.department, plot.commune, plot.area)

🇪🇸 Spain

Attributes: province, municipality

plot = Plot(country="ES", plot_id="0749407VK4704H")       # cadastral reference
plot = Plot(country="ES", x=-3.6999, y=40.4211)
plot = Plot(country="ES", address="Calle de Alcalá 1, Madrid")

print(plot.province, plot.municipality, plot.area)

🇳🇱 Netherlands

Attributes: municipality, section, parcel_number

plot = Plot(country="NL", plot_id="AKM01 K 3785")     # cadastral designation
plot = Plot(country="NL", x=4.6255, y=52.1987)
plot = Plot(country="NL", address="Dam 1, Amsterdam")

print(plot.municipality, plot.section, plot.area)

🇨🇭 Switzerland

Attributes: canton, municipality, egrid, parcel_number

plot = Plot(country="CH", plot_id="CH119192997709")   # EGRID
plot = Plot(country="CH", x=8.5417, y=47.3769)
plot = Plot(country="CH", address="Bundesplatz 3, Bern")

print(plot.canton, plot.municipality, plot.area)

🇪🇪 Estonia

Attributes: county, municipality, settlement

plot = Plot(country="EE", plot_id="78401:114:0086")   # katastritunnus
plot = Plot(country="EE", x=24.7536, y=59.437)
plot = Plot(country="EE", address="Viru väljak 4, Tallinn")

print(plot.county, plot.municipality, plot.area)

🇨🇾 Cyprus

Attributes: district_code, sheet, plan, parcel_number

plot = Plot(country="CY", plot_id="1000-21/450301-1-1-290")
plot = Plot(country="CY", x=33.3396, y=35.1787)
plot = Plot(country="CY", address="Nicosia, Cyprus")

print(plot.district_code, plot.parcel_number, plot.area)

🇱🇹 Lithuania

Attributes: cadastral_zone, municipality_code, purpose

plot = Plot(country="LT", plot_id="0101/0041:0121")   # kadastro numeris
plot = Plot(country="LT", x=25.27904, y=54.68449)
plot = Plot(country="LT", address="Gedimino pr. 1, Vilnius")

print(plot.cadastral_zone, plot.purpose, plot.area)

🇱🇻 Latvia

Attributes: territory_code, group_code, parcel_number

plot = Plot(country="LV", plot_id="01000540120")   # kadastra apzīmējums
plot = Plot(country="LV", x=24.0917, y=56.9276)
plot = Plot(country="LV", address="Rīga, Latvia")

print(plot.territory_code, plot.parcel_number, plot.area)

🇵🇹 Portugal

Attributes: municipality, parish, district_code

Partial coverage — no big cities or northern regions. Address lookup not supported.

plot = Plot(country="PT", plot_id="AAA000825807")   # NIC
plot = Plot(country="PT", x=-7.7079, y=40.4210)

print(plot.municipality, plot.parish, plot.area)

🇸🇮 Slovenia

Attributes: ko_code, ko_name, municipality, parcel_number

Address lookup not supported.

plot = Plot(country="SI", plot_id="1725-3283/1")   # KO code + parcel number
plot = Plot(country="SI", x=14.50582, y=46.05144)

print(plot.ko_name, plot.municipality, plot.area)

🇮🇹 Italy

Attributes: comune_code, foglio, particella

Coordinates and address only — no id lookup. Excludes Trento & Bolzano.

plot = Plot(country="IT", x=12.4922, y=41.8902)
plot = Plot(country="IT", address="Piazzale degli Uffizi, Firenze")

print(plot.comune_code, plot.foglio, plot.particella, plot.area)

🇩🇪 Germany

Attributes: land, gemarkung, flur, parcel_number

Coordinates and address only — no id lookup. 10 of 16 states (free ALKIS).

plot = Plot(country="DE", x=6.9583, y=50.9413)
plot = Plot(country="DE", address="Domkloster 4, Köln")

print(plot.land, plot.gemarkung, plot.parcel_number, plot.area)

🇳🇴 Norway

Attributes: municipality, municipality_code, gnr, bnr

plot = Plot(country="NO", plot_id="0301-209/494")   # kommunenr-gnr/bnr
plot = Plot(country="NO", x=10.7330, y=59.9116)
plot = Plot(country="NO", address="Karl Johans gate 1, Oslo")

print(plot.municipality, plot.gnr, plot.bnr, plot.area)

🇩🇰 Denmark

Attributes: municipality, ejerlav, matrikelnr

plot = Plot(country="DK", plot_id="2000179-7000q")   # ejerlavkode-matrikelnr
plot = Plot(country="DK", x=12.5683, y=55.6761)
plot = Plot(country="DK", address="Rådhuspladsen 1, København")

print(plot.municipality, plot.ejerlav, plot.matrikelnr, plot.area)

🇧🇪 Belgium

Attributes: nis_code, section, parcel_number

plot = Plot(country="BE", plot_id="41009A0063/00D000")   # capakey
plot = Plot(country="BE", x=4.40262, y=51.21945)
plot = Plot(country="BE", address="Grote Markt 1, Antwerpen")

print(plot.nis_code, plot.section, plot.parcel_number, plot.area)

Documentation

Full docs: ernestilchenko.github.io/plot-finder

License

MIT