Skip to main content

plot-finder

Python License Pydantic

Python library to find land parcels across Europe — Poland, France, Spain, Netherlands, Switzerland, Estonia, Cyprus, Lithuania, Latvia and Portugal — by id, address or coordinates.

Geometry is returned in EPSG:4326 by default (set srid= for another CRS).

One Plot class. country is required and selects the cadastre; the country-specific attributes come from a matching class in plot_finder.countries.

Installation

pip install plot-finder

Poland 🇵🇱

from plot_finder import Plot

plot = Plot(country="PL", plot_id="141201_1.0001.6509")
plot = Plot(country="PL", x=639231, y=486743)                  # EPSG:2180
plot = Plot(country="PL", address="Warszawa, Marszalkowska 1")

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

Attributes: voivodeship, county, commune, region, parcel

France 🇫🇷

from plot_finder import Plot

plot = Plot(country="FR", plot_id="33063000KE0078")
plot = Plot(country="FR", x=-0.5792, y=44.8378)                # lon/lat, EPSG:4326
plot = Plot(country="FR", address="30 Rue Sainte-Catherine, Bordeaux")

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

Attributes: department, insee, commune, section, numero

Spain 🇪🇸

from plot_finder import Plot

plot = Plot(country="ES", plot_id="0749407VK4704H")       # cadastral reference
plot = Plot(country="ES", x=-3.6999, y=40.4211)           # lon/lat, EPSG:4326
plot = Plot(country="ES", address="Calle de Alcalá 1, Madrid")

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

Attributes: province, municipality

Netherlands 🇳🇱

from plot_finder import Plot

plot = Plot(country="NL", plot_id="AKM01 K 3785")     # cadastral designation
plot = Plot(country="NL", x=4.6255, y=52.1987)        # lon/lat, EPSG:4326
plot = Plot(country="NL", address="Dam 1, Amsterdam")

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

Attributes: municipality, section, parcel_number

Switzerland 🇨🇭

from plot_finder import Plot

plot = Plot(country="CH", plot_id="CH119192997709")   # EGRID
plot = Plot(country="CH", x=8.5417, y=47.3769)        # lon/lat, EPSG:4326
plot = Plot(country="CH", address="Bundesplatz 3, Bern")

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

Attributes: canton, municipality, egrid, parcel_number

Estonia 🇪🇪

from plot_finder import Plot

plot = Plot(country="EE", plot_id="78401:114:0086")   # katastritunnus
plot = Plot(country="EE", x=24.7536, y=59.437)        # lon/lat, EPSG:4326
plot = Plot(country="EE", address="Viru väljak 4, Tallinn")

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

Attributes: county, municipality, settlement

Cyprus 🇨🇾

from plot_finder import Plot

plot = Plot(country="CY", plot_id="1000-21/450301-1-1-290")   # cadastral reference
plot = Plot(country="CY", x=33.3396, y=35.1787)               # lon/lat, EPSG:4326
plot = Plot(country="CY", address="Nicosia, Cyprus")

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

Attributes: district_code, sheet, plan, parcel_number

Lithuania 🇱🇹

from plot_finder import Plot

plot = Plot(country="LT", plot_id="0101/0041:0121")   # kadastro numeris
plot = Plot(country="LT", x=25.27904, y=54.68449)     # lon/lat, EPSG:4326
plot = Plot(country="LT", address="Gedimino pr. 1, Vilnius")

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

Attributes: cadastral_zone, municipality_code, purpose

Latvia 🇱🇻

from plot_finder import Plot

plot = Plot(country="LV", plot_id="01000540120")   # kadastra apzīmējums
plot = Plot(country="LV", x=24.0917, y=56.9276)    # lon/lat, EPSG:4326
plot = Plot(country="LV", address="Rīga, Latvia")

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

Attributes: territory_code, group_code, parcel_number

Portugal 🇵🇹

from plot_finder import Plot

plot = Plot(country="PT", plot_id="AAA000825807")   # NIC
plot = Plot(country="PT", x=-7.7079, y=40.4210)     # lon/lat, EPSG:4326

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

Attributes: municipality, parish, district_codepartial coverage (no big cities/north).

Documentation

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

License

MIT

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

plot_finder-1.6.0.tar.gz (15.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

plot_finder-1.6.0-py3-none-any.whl (22.1 kB view details)

Uploaded Python 3

File details

Details for the file plot_finder-1.6.0.tar.gz.

File metadata

  • Download URL: plot_finder-1.6.0.tar.gz
  • Upload date:
  • Size: 15.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.0

File hashes

Hashes for plot_finder-1.6.0.tar.gz
Algorithm Hash digest
SHA256 6252f5af87b003ef74549717261c00215cbc12db84e00a3662f987fa7114d247
MD5 1112db04dc5eacfc2ef03044fcf55bbd
BLAKE2b-256 fac240755f20d29941261dfbbc70e8d726acdbfd3fb1c0419e8db5ce5b683be3

See more details on using hashes here.

File details

Details for the file plot_finder-1.6.0-py3-none-any.whl.

File metadata

  • Download URL: plot_finder-1.6.0-py3-none-any.whl
  • Upload date:
  • Size: 22.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.0

File hashes

Hashes for plot_finder-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 49b4ab9b5627b6d1702dfcca017117fe62f1252cab93e69834484d2dfb8d8739
MD5 c4d7203eb1f545d0f422e6883af05fea
BLAKE2b-256 c6284c245071f288e393718efe3ff3ee6e943e4ed0d6671a949d881a00c82407

See more details on using hashes here.

Release history Release notifications | RSS feed

1.11.0

2 files

1.10.0

2 files

1.9.1

2 files

1.9.0

2 files

1.8.0

2 files

1.7.0

2 files

This release

1.6.0 This release

2 files

1.5.0

2 files

1.3.0

2 files

1.2.0

2 files

1.0.0

2 files

0.9.0

2 files

0.8.1

2 files

0.8.0

2 files

0.7.0

2 files

0.6.1

2 files

0.6.0

2 files

0.5.0

2 files

0.4.0

2 files

0.3.4

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.3.0

2 files

0.2.1

2 files

0.2.0

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page