postal-address | : postal_horn : Parse , normalize and render postal addresses | Parser library

import re

from bs4 import BeautifulSoup

html = """

            
            1000 Bruxelles
Rue de Laeken 160
        
"""

soup = BeautifulSoup(html, "html.parser").select_one("[itemprop='address']")
address_container = [item.string.

from nltk.corpus import wordnet

df = ['Unnamed 0','business id','name','postal code']
df = [x.strip().replace(' ', '_') for x in df]

df2 = []
for x in df:
    syns = (wordnet.synsets(x))
    df2.append(syns[0].definition() if len(syns)&g

driver.get("https://www.craispesaonline.it/provincia/treviso")
search=WebDriverWait(driver,20).until(EC.visibility_of_all_elements_located((By.XPATH,'//address//p[@class="text-lowercase m-0 ng-binding"]')))
for postcode in search:
    prin

[
    '%Y-%m-%d', '%m/%d/%Y', '%m/%d/%y', # '2006-10-25', '10/25/2006', '10/25/06'
    '%b %d %Y', '%b %d, %Y',            # 'Oct 25 2006', 'Oct 25, 2006'
    '%d %b %Y', '%d %b, %Y',            # '25 Oct 2006', '25 Oct, 2006

text = response.full_text_annotation.text
     text = text.casefold()
     text = text.replace('(','')
     text = text.replace(')','')
     text = text.replace(':','')
     text = text.replace('.','')

     return text

(?=[A-Z])((Name:[A-Z-a-z\s]+\n|\s)|(Father\x27s\sName[A-Z-a-z\s\.]+\n|\s)|(Age:\s\(in\syears\)\s[0-9]+))

# -*- coding: UTF-8 -*-
import re

string = """
A. Bank Challan
Bank Branch
ca
ABC muitce
Deposit ID VOSSÁETM

import re
from itertools import product

digits_regex = re.compile('\d+')

address = "Flat 8, The Apartment, King Philip Street, SE1 3WX, England"

def generate(full_address):
    def generate_flat(flat_number, prefixes=('f', 'flat')):
   

class Customer(models.Model):
    default_address = models.ForeignKey(
        'app.Address',
        on_delete=models.SET_NULL,
        null=True
    )

class Address(models.Model):
    customer = models.ForeignKey(