Short script to get all the street names in one city

get_all_streets_from_oms.py

# pip install requests
# pip install bs4
# pip install overpass
# pip install html5lib

from pprint import pprint
import overpass
import urllib.parse
import requests 
from bs4 import BeautifulSoup 

def get_osm_relation_id(address):
	url = "https://www.openstreetmap.org/geocoder/search_osm_nominatim?query=" + urllib.parse.quote(address)
	r = requests.get(url) 
	soup = BeautifulSoup(r.content, 'html5lib')
	osm_link = soup.find('a', attrs = {'class':'set_position'})
	relation_id = osm_link.get('data-id').strip()
	print(relation_id)
	# 3600000000 is the id offset
	return int(relation_id) + 3600000000 

def load_street_names(address):
	id = get_osm_relation_id(address)
	street_names = []
	try:
		api = overpass.API()
		data = api.get('area('+str(id)+')->.a;(way(area.a)["name"]["highway"]["highway" !~ "path"]["highway" !~ "steps"]["highway" !~ "motorway"]["highway" !~ "motorway_link"]["highway" !~ "raceway"]["highway" !~ "bridleway"]["highway" !~ "proposed"]["highway" !~ "construction"]["highway" !~ "elevator"]["highway" !~ "bus_guideway"]["highway" !~ "footway"]["highway" !~ "cycleway"]["foot" !~ "no"]["access" !~ "private"]["access" !~ "no"];node(w)(area.a););out;')
		for f in data.features:
			if f.geometry['type'] == "LineString":
				street_names.append(f.properties['name'])
		# Remove duplicates
		street_names = list(dict.fromkeys(street_names))
		# Sort it
		street_names = sorted(street_names)
	except Exception as e:
		pprint(e)
	finally:
		return street_names
	
def main():
	street_names = load_street_names("Mar del Plata, Buenos Aires, Argentina")
	pprint(street_names)