Parcel Finder

A Python tool to search for land areas based on their size and location in France using cadastral data. The project supports filtering of parcels and buildings, leveraging open-source cadastral data and generating map links for easy analysis.

Getting Started

Prerequisites

Python 3.8+

Setup

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Usage

python parcel_finder.py <city_name> <area> [options]

Positional Arguments
    •	city_name:  Name of the city (case-insensitive). 
                    Look at the file 'insee_code.csv' for the available names. 
    •	area:       Minimum area of the parcel (in square meters).

Optional Arguments
    •	-p, --area_precision: Precision for area matching (default: 1).
    •	-s, --min_building_size: Minimum building size to consider (default: 0 m²).

Example

python parcel_finder.py "Basse Goulaine" 800

Searching land with area : 800 m2...
100%|██████████| 78036/78036 [00:00<00:00, 411339.71it/s]
----------------------------------------------------------------------------------------------------
1: 800.5 m2, buildings: ['141'] m2 -> (-1.46396, 47.21175)
2: 800.6 m2, buildings: ['153'] m2 -> (-1.46328, 47.21386)
3: 800.8 m2, buildings: ['118'] m2 -> (-1.46132, 47.21388)
4: 800.3 m2, buildings: ['154'] m2 -> (-1.46326, 47.20485)
5: 801.0 m2, buildings: ['185'] m2 -> (-1.45658, 47.20533)
6: 800.4 m2, buildings: ['142'] m2 -> (-1.46492, 47.19813)
7: 800.5 m2, buildings: ['135'] m2 -> (-1.46990, 47.18956)
8: 800.8 m2, buildings: ['130'] m2 -> (-1.46986, 47.18996)
9: 800.6 m2, buildings: ['146', '27'] m2 -> (-1.46810, 47.18937)
10: 800.6 m2, buildings: ['155'] m2 -> (-1.47286, 47.21328)
11: 800.8 m2, buildings: ['188'] m2 -> (-1.45803, 47.21324)
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https://bing.com/maps/default.aspx?sp=point.47.21175_-1.46396_1~point.47.21386_-1.46328_2~point.47.21388_-1.46132_3~point.47.20485_-1.46326_4~point.47.20533_-1.45658_5~point.47.19813_-1.46492_6~point.47.18956_-1.46990_7~point.47.18996_-1.46986_8~point.47.18937_-1.46810_9~point.47.21328_-1.47286_10~point.47.21324_-1.45803_11~&style=h
matches: 11