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plot-finder

PyPI Python License Pydantic

One Plot class per country โ€” 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          # mยฒ
plot.datasource    # which cadastre answered

Coverage

Country id coords address Notes
๐Ÿ‡ต๐Ÿ‡ฑ Poland โœ“ โœ“ โœ“
๐Ÿ‡ซ๐Ÿ‡ท France โœ“ โœ“ โœ“
๐Ÿ‡ช๐Ÿ‡ธ Spain โœ“ โœ“ โœ“
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands โœ“ โœ“ โœ“
๐Ÿ‡จ๐Ÿ‡ญ Switzerland โœ“ โœ“ โœ“
๐Ÿ‡ช๐Ÿ‡ช Estonia โœ“ โœ“ โœ“
๐Ÿ‡จ๐Ÿ‡พ Cyprus โœ“ โœ“ โœ“
๐Ÿ‡ฑ๐Ÿ‡น Lithuania โœ“ โœ“ โœ“
๐Ÿ‡ฑ๐Ÿ‡ป Latvia โœ“ โœ“ โœ“
๐Ÿ‡ต๐Ÿ‡น Portugal โœ“ โœ“ โ€” partial coverage
๐Ÿ‡ธ๐Ÿ‡ฎ Slovenia โœ“ โœ“ โ€”
๐Ÿ‡ฎ๐Ÿ‡น Italy โ€” โœ“ โœ“ excl. Trento & Bolzano
๐Ÿ‡ฉ๐Ÿ‡ช Germany โ€” โœ“ โœ“ 10 of 16 states
๐Ÿ‡ณ๐Ÿ‡ด Norway โœ“ โœ“ โœ“

๐Ÿ‡ต๐Ÿ‡ฑ 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)
๐Ÿ‡ซ๐Ÿ‡ท 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)
๐Ÿ‡ช๐Ÿ‡ธ 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 Alcalรก 1, Madrid")

print(plot.province, plot.municipality, plot.area)
๐Ÿ‡ณ๐Ÿ‡ฑ 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)
๐Ÿ‡จ๐Ÿ‡ญ 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)
๐Ÿ‡ช๐Ÿ‡ช 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 vรคljak 4, Tallinn")

print(plot.county, plot.municipality, plot.area)
๐Ÿ‡จ๐Ÿ‡พ 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)
๐Ÿ‡ฑ๐Ÿ‡น 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)
๐Ÿ‡ฑ๐Ÿ‡ป Latvia

Attributes: territory_code, group_code, parcel_number

plot = Plot(country="LV", plot_id="01000540120")   # kadastra apzฤซmฤ“jums
plot = Plot(country="LV", x=24.0917, y=56.9276)
plot = Plot(country="LV", address="Rฤซga, Latvia")

print(plot.territory_code, plot.parcel_number, plot.area)
๐Ÿ‡ต๐Ÿ‡น Portugal

Attributes: municipality, parish, district_code

Partial coverage โ€” 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)
๐Ÿ‡ธ๐Ÿ‡ฎ 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)
๐Ÿ‡ฎ๐Ÿ‡น Italy

Attributes: comune_code, foglio, particella

Coordinates and address only โ€” 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)
๐Ÿ‡ฉ๐Ÿ‡ช Germany

Attributes: land, gemarkung, flur, parcel_number

Coordinates and address only โ€” 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, Kรถln")

print(plot.land, plot.gemarkung, plot.parcel_number, plot.area)
๐Ÿ‡ณ๐Ÿ‡ด 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)

Documentation

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

License

MIT

About

Python library to find land parcels worldwide by id, address or coordinates.

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