How to regex German street addresses with numbers (infix) - regex

I've got these two addresses:
Straße des 17 Juni 122a
Str. 545 3
See https://regex101.com/r/2WT48R/5
I need to filter for the street and number.
My desired output would be:
streets = [Straße des, Str. ]
numbers = [17 Juni 122a, 545 3]
This is my regex:
(?<street>[\S ]+?)\s*(?<number>\d+[\w\s\/-]*)$
Output should look like:
streets = [Straße des 17 Juni, Str. 545]
numbers = [122a, 3]


Looks like there's no spaces in the "numbers" part of your regex - you can use that to cut away those extra characters getting stuck in your second capture group.
(?<street>[\S ]+)\s(?<number>\d+\S*$)
By allowing no whitespace in the second capture group, it won't match the numbers 17 or 545 too early.
Demo
EDIT: after seeing your more detailed list of examples on your own demo, the following regex will match the complete set of your test cases:
(?<street>[\S \t]+?) ?(?<number>[\d\s]+[\w-\/]*?$)
Demo


I found one answer by myself:
(?<street>[\S ]+?)\s*(?<number>\d+\s*[a-zA-Z]*\s*([-\/]\s*\d*\s*\w?\s*)*)$
The demo includes several additional test cases.

Related

Find a String from a varying number block to the end

I have nearly 8000 lines of the following text:
DIL 2 M 006 SC SCHÜTZ 083 1 Stck
25215-1 BIN-SORT 2152310251724-1 BIN-SORT getestet 048 133 Stck
RBBE60-T3dsg 21S003 SEALING 6X8.9X2.4 MM 082 3 Stck
I am only interested in the 3 digit block at the end and the number behind.
So this should be the output:
083 1
048 133
082 3
It could be, that the same number e.g. 048 appears at the beginning of the line. this shouldn't be a hit.
Unfortunatelly i have no idea how to extract this strings with the help of notpad++.

This expression,
.*(\d{3}\s+\d+).*
with a replacement of $1 is likely to work here.
The expression is explained on the top right panel of this demo if you wish to explore/simplify/modify it.

You may try the following find and replace, in regex mode:
Find: ^.*?(\d+ \d+) \S*$
Replace: $1
The logic here is to use .* to consume everything up until the last two consecutive digits in the line. Then, we replace with only the captured two digits.
Demo

Regex for getting just name of street and number from messy address

I have this list of messy addresses, some are clean some aren't:
Av. Chorrillos # 1759 Local 1082 Exterior Jumbo
Av. Balmaceda N° 2355 Local BS - 121 / Subterráneo sector servicios
Tarapaca N° 729
The structure is usually name of street + N°|#|nothing + number + extra stuff
I'd like to erase this extra stuff so that the expected output from the above list is:
Av. Chorrillos # 1759
Av. Balmaceda N° 2355
Tarapaca N° 729
I tried using a combination of letters and lookback:
([a-zA-Z\s]+\d+)
But the # and N° gave me trouble, so I tried also including them
([(\w|°|#)\s]+\d+)
but still no luck.
I know regex on addresses is a nightmare, but any regex that fits those three cases above would fit 95% of my list, which is good enough for me!
I'm using this with python regex in case that matters.
You can find the list of addresses and my regex attempt on regex101
(Some addresses have extra info BEFORE the relevant information of street + number, but I'm fine with screwing up those)

Based on your specifications. I came up with this regex.
Regex: ^.*?(?:[N°#Nº]\s*)?\d+
Explanation:
^.*? consumes everything from beginning of string. Since match is lazy it will match until next part which is (?:[N°#Nº]\s*)?
(?:[N°#Nº]\s*)? matches optional N°#Nº followed by zero or more whitespaces.
\d+ matches numbers.
Regex101 Demo

Convert a regex expression to erlang's re syntax?

I am having hard time trying to convert the following regular expression into an erlang syntax.
What I have is a test string like this:
1,2 ==> 3 #SUP: 1 #CONF: 1.0
And the regex that I created with regex101 is this (see below):
([\d,]+).*==>\s*(\d+)\s*#SUP:\s*(\d)\s*#CONF:\s*(\d+.\d+)
:
But I am getting weird match results if I convert it to erlang - here is my attempt:
{ok, M} = re:compile("([\\d,]+).*==>\\s*(\\d+)\\s*#SUP:\\s*(\\d)\\s*#CONF:\\s*(\\d+.\\d+)").
re:run("1,2 ==> 3 #SUP: 1 #CONF: 1.0", M).
Also, I get more than four matches. What am I doing wrong?
Here is the regex101 version:
https://regex101.com/r/xJ9fP2/1

I don't know much about erlang, but I will try to explain. With your regex
>{ok, M} = re:compile("([\\d,]+).*==>\\s*(\\d+)\\s*#SUP:\\s*(\\d)\\s*#CONF:\\s*(\\d+.\\d+)").
>re:run("1,2 ==> 3 #SUP: 1 #CONF: 1.0", M).
{match,[{0, 28},{0,3},{8,1},{16,1},{25,3}]}
^^ ^^
|| ||
|| Total number of matched characters from starting index
Starting index of match
Reason for more than four groups
First match always indicates the entire string that is matched by the complete regex and rest here are the four captured groups you want. So there are total 5 groups.
([\\d,]+).*==>\\s*(\\d+)\\s*#SUP:\\s*(\\d)\\s*#CONF:\\s*(\\d+.\\d+)
<-------> <----> <---> <--------->
First group Second group Third group Fourth group
<----------------------------------------------------------------->
This regex matches entire string and is first match you are getting
(Zero'th group)
How to find desired answer
Here we want anything except the first group (which is entire match by regex). So we can use all_but_first to avoid the first group
> re:run("1,2 ==> 3 #SUP: 1 #CONF: 1.0", M, [{capture, all_but_first, list}]).
{match,["1,2","3","1","1.0"]}
More info can be found here

If you are in doubt what is content of the string, you can print it and check out:
1> RE = "([\\d,]+).*==>\\s*(\\d+)\\s*#SUP:\\s*(\\d)\\s*#CONF:\\s*(\\d+.\\d+)".
"([\\d,]+).*==>\\s*(\\d+)\\s*#SUP:\\s*(\\d)\\s*#CONF:\\s*(\\d+.\\d+)"
2> io:format("RE: /~s/~n", [RE]).
RE: /([\d,]+).*==>\s*(\d+)\s*#SUP:\s*(\d)\s*#CONF:\s*(\d+.\d+)/
For the rest of issue, there is great answer by rock321987.

Regex: How to make range to match minimum possible length?

Regex: [0-9]{6-8}([0-9]{4})
Test Strings:
sfad 123456781234 afd sadfa fdads
sfd 12345671234 24312 fasdfa dsfafd
221 1234561234 safd safd23 34
Expected:
I need the end part 1234 captured in a group on each line.
Actual: No matches. :(
I would like to make [0-9]{6-8} to match the least possible characters so all these 3 strings would match. How do I make this lazy as it seems to be greedy now.
I need only regex solutions as this is part of a bigger solution. Here's a link to play with it: https://regex101.com/r/eF5pA9/1

[0-9]{6,8}([0-9]{4}) with g modifier matches all three.
Thanks #anubhava and #Anderson Pimentel.

Regular expression for address field validation

I am trying to write a regular expression that facilitates an address, example 21-big walk way or 21 St.Elizabeth's drive I came up with the following regular expression but I am not too keen to how to incorporate all the characters (alphanumeric, space dash, full stop, apostrophe)
"regexp=^[A-Za-z-0-99999999'

See the answer to this question on address validating with regex:
regex street address match
The problem is, street addresses vary so much in formatting that it's hard to code against them. If you are trying to validate addresses, finding if one isn't valid based on its format is mighty hard to do.
This would return the following address (253 N. Cherry St. ), anything with its same format:
\d{1,5}\s\w.\s(\b\w*\b\s){1,2}\w*\.
This allows 1-5 digits for the house number, a space, a character followed by a period (for N. or S.), 1-2 words for the street name, finished with an abbreviation (like st. or rd.).
Because regex is used to see if things meet a standard or protocol (which you define), you probably wouldn't want to allow for the addresses provided above, especially the first one with the dash, since they aren't very standard. you can modify my above code to allow for them if you wish--you could add
(-?)
to allow for a dash but not require one.
In addition, http://rubular.com/ is a quick and interactive way to learn regex. Try it out with the addresses above.

In case if you don't have a fixed format for the address as mentioned above, I would use regex expression just to eliminate the symbols which are not used in the address (like specialized sybmols - &(%#$^). Result would be:
[A-Za-z0-9'\.\-\s\,]

Just to add to Serzas' answer(since don't have enough reps. to comment).
alphabets and numbers can effectively be replaced by \w for words.
Additionally apostrophe,comma,period and hyphen doesn't necessarily need a backslash.
My requirement also involved front and back slashes so \/ and finally whitespaces with \s. The working regex for me ,as such was :
pattern: "[\w',-\\/.\s]"

Regular expression for simple address validation
^[#.0-9a-zA-Z\s,-]+$
E.g. for Address match case
#1, North Street, Chennai - 11
E.g. for Address not match case
$1, North Street, Chennai # 11

I have succesfully used ;
Dim regexString = New stringbuilder
With regexString
.Append("(?<h>^[\d]+[ ])(?<s>.+$)|") 'find the 2013 1st ambonstreet
.Append("(?<s>^.*?)(?<h>[ ][\d]+[ ])(?<e>[\D]+$)|") 'find the 1-7-4 Dual Ampstreet 130 A
.Append("(?<s>^[\D]+[ ])(?<h>[\d]+)(?<e>.*?$)|") 'find the Terheydenlaan 320 B3
.Append("(?<s>^.*?)(?<h>\d*?$)") 'find the 245e oosterkade 9
End With
Dim Address As Match = Regex.Match(DataRow("customerAddressLine1"), regexString.ToString(), RegexOptions.Multiline)
If Not String.IsNullOrEmpty(Address.Groups("s").Value) Then StreetName = Address.Groups("s").Value
If Not String.IsNullOrEmpty(Address.Groups("h").Value) Then HouseNumber = Address.Groups("h").Value
If Not String.IsNullOrEmpty(Address.Groups("e").Value) Then Extension = Address.Groups("e").Value
The regex will attempt to find a result, if there is none, it move to the next alternative. If no result is found, none of the 4 formats where present.

This one worked for me:
\d+[ ](?:[A-Za-z0-9.-]+[ ]?)+(?:Avenue|Lane|Road|Boulevard|Drive|Street|Ave|Dr|Rd|Blvd|Ln|St)\.?
The source: https://www.codeproject.com/Tips/989012/Validate-and-Find-Addresses-with-RegEx

Regex is a very bad choice for this kind of task. Try to find a web service or an address database or a product which can clean address data instead.
Related:
Address validation using Google Maps API

As a simple one line expression recommend this,
^([a-zA-z0-9/\\''(),-\s]{2,255})$

I needed
STREET # | STREET | CITY | STATE | ZIP
So I wrote the following regex
[0-9]{1,5}( [a-zA-Z.]*){1,4},?( [a-zA-Z]*){1,3},? [a-zA-Z]{2},? [0-9]{5}
This allows
1-5 Street #s
1-4 Street description words
1-3 City words
2 Char State
5 Char Zip code
I also added option , for separating street, city, state, zip

Here is the approach I have taken to finding addresses using regular expressions:
A set of patterns is useful to find many forms that we might expect from an address starting with simply a number followed by set of strings (ex. 1 Basic Road) and then getting more specific such as looking for "P.O. Box", "c/o", "attn:", etc.
Below is a simple test in python. The test will find all the addresses but not the last 4 items which are company names. This example is not comprehensive, but can be altered to suit your needs and catch examples you find in your data.
import re
strings = [
'701 FIFTH AVE',
'2157 Henderson Highway',
'Attn: Patent Docketing',
'HOLLYWOOD, FL 33022-2480',
'1940 DUKE STREET',
'111 MONUMENT CIRCLE, SUITE 3700',
'c/o Armstrong Teasdale LLP',
'1 Almaden Boulevard',
'999 Peachtree Street NE',
'P.O. BOX 2903',
'2040 MAIN STREET',
'300 North Meridian Street',
'465 Columbus Avenue',
'1441 SEAMIST DR.',
'2000 PENNSYLVANIA AVENUE, N.W.',
'465 Columbus Avenue',
'28 STATE STREET',
'P.O, Drawer 800889.',
'2200 CLARENDON BLVD.',
'840 NORTH PLANKINTON AVENUE',
'1025 Connecticut Avenue, NW',
'340 Commercial Street',
'799 Ninth Street, NW',
'11318 Lazarro Ln',
'P.O, Box 65745',
'c/o Ballard Spahr LLP',
'8210 SOUTHPARK TERRACE',
'1130 Connecticut Ave., NW, Suite 420',
'465 Columbus Avenue',
"BANNER & WITCOFF , LTD",
"CHIP LAW GROUP",
"HAMMER & ASSOCIATES, P.C.",
"MH2 TECHNOLOGY LAW GROUP, LLP",
]
patterns = [
"c\/o [\w ]{2,}",
"C\/O [\w ]{2,}",
"P.O\. [\w ]{2,}",
"P.O\, [\w ]{2,}",
"[\w\.]{2,5} BOX [\d]{2,8}",
"^[#\d]{1,7} [\w ]{2,}",
"[A-Z]{2,2} [\d]{5,5}",
"Attn: [\w]{2,}",
"ATTN: [\w]{2,}",
"Attention: [\w]{2,}",
"ATTENTION: [\w]{2,}"
]
contact_list = []
total_count = len(strings)
found_count = 0
for string in strings:
pat_no = 1
for pattern in patterns:
match = re.search(pattern, string.strip())
if match:
print("Item found: " + match.group(0) + " | Pattern no: " + str(pat_no))
found_count += 1
pat_no += 1
print("-- Total: " + str(total_count) + " Found: " + str(found_count))

UiPath Academy training video lists this RegEx for US addresses (and it works fine for me):
\b\d{1,8}(-)?[a-z]?\W[a-z|\W|\.]{1,}\W(road|drive|avenue|boulevard|circle|street|lane|waylrd\.|st\.|dr\.|ave\.|blvd\.|cir\.|In\.|rd|dr|ave|blvd|cir|ln)

I had a different use case - find any addresses in logs and scold application developers (favourite part of a devops job). I had the advantage of having the word "address" in the pattern but should work without that if you have specific field to scan
\baddress.[0-9\\\/# ,a-zA-Z]+[ ,]+[0-9\\\/#, a-zA-Z]{1,}
Look for the word "address" - skip this if not applicable
Look for first part numbers, letters, #, space - Unit Number / street number/suite number/door number
Separated by a space or comma
Look for one or more of rest of address numbers, letters, #, space
Tested against :
1 Sleepy Boulevard PO, Box 65745
Suite #100 /98,North St,Snoozepura
Ave., New Jersey,
Suite 420 1130 Connect Ave., NW,
Suite 420 19 / 21 Old Avenue,
Suite 12, Springfield, VIC 3001
Suite#100/98 North St Snoozepura
This worked for me when there were street addresses with unit/suite numbers, zip codes, only street. It also didn't match IP addresses or mac addresses. Worked with extra spaces.
This assumes users are normal people separate elements of a street address with a comma, hash sign, or space and not psychopaths who use characters like "|" or ":"!

For French address and some international address too, I use it.
[\\D+ || \\d]+\\d+[ ||,||[A-Za-z0-9.-]]+(?:[Rue|Avenue|Lane|... etcd|Ln|St]+[ ]?)+(?:[A-Za-z0-9.-](.*)]?)

I was inspired from the responses given here and came with those 2 solutions
support optional uppercase
support french also
regex structure
numbers (required)
letters, chars and spaces
at least one common address keyword (required)
as many chars you want before the line break
definitions:
accuracy
capacity of detecting addresses and not something that looks like an address which is not.
range
capacity to detect uncommon addresses.
Regex 1:
high accuracy
low range
/[0-9]+[ |[a-zà-ú.,-]* ((highway)|(autoroute)|(north)|(nord)|(south)|(sud)|(east)|(est)|(west)|(ouest)|(avenue)|(lane)|(voie)|(ruelle)|(road)|(rue)|(route)|(drive)|(boulevard)|(circle)|(cercle)|(street)|(cer\.)|(cir\.)|(blvd\.)|(hway\.)|(st\.)|(aut\.)|(ave\.)|(ln\.)|(rd\.)|(hw\.)|(dr\.)|(a\.))([ .,-]*[a-zà-ú0-9]*)*/i
regex 2:
low accuracy
high range
/[0-9]*[ |[a-zà-ú.,-]* ((highway)|(autoroute)|(north)|(nord)|(south)|(sud)|(east)|(est)|(west)|(ouest)|(avenue)|(lane)|(voie)|(ruelle)|(road)|(rue)|(route)|(drive)|(boulevard)|(circle)|(cercle)|(street)|(cer\.?)|(cir\.?)|(blvd\.?)|(hway\.?)|(st\.?)|(aut\.?)|(ave\.?)|(ln\.?)|(rd\.?)|(hw\.?)|(dr\.?)|(a\.))([ .,-]*[a-zà-ú0-9]*)*/i

This one works well for me
^(\d+) ?([A-Za-z](?= ))? (.*?) ([^ ]+?) ?((?<= )APT)? ?((?<= )\d*)?$
Source : https://community.alteryx.com/t5/Alteryx-Designer-Discussions/RegEx-Addresses-different-formats-and-headaches/td-p/360147

Here is my RegEx for address, city & postal validation rules
validation rules:
address -
1 - 40 characters length.
Letters, numbers, space and . , : ' #
city -
1 - 19 characters length
Only Alpha characters are allowed
Spaces are allowed
postalCode -
The USA zip must meet the following criteria and is required:
Minimum of 5 digits (9 digits if zip + 4 is provided)
Numeric only
A Canadian postal code is a six-character string.
in the format A1A 1A1, where A is a letter and 1 is a digit.
a space separates the third and fourth characters.
do not include the letters D, F, I, O, Q or U.
the first position does not make use of the letters W or Z.
address: ^[a-zA-Z0-9 .,#;:'-]{1,40}$
city: ^[a-zA-Z ]{1,19}$
usaPostal: ^([0-9]{5})(?:[-]?([0-9]{4}))?$
canadaPostal : ^(?!.*[DFIOQU])[A-VXY][0-9][A-Z] ?[0-9][A-Z][0-9]$

\b(\d{1,8}[a-z]?[0-9\/#- ,a-zA-Z]+[ ,]+[.0-9\/#, a-zA-Z]{1,})\n

A more dynamic approach to #micah would be the following:
(?'Address'(?'Street'[0-9][a-zA-Z\s]),?\s*(?'City'[A-Za-z\s]),?\s(?'Country'[A-Za-z])\s(?'Zipcode'[0-9]-?[0-9]))
It won't care about individual lengths of segments of code.
https://regex101.com/r/nuy7hB/1