Help extracting MAC addresses from List


 
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# 1  
Old 01-24-2008
Help extracting MAC addresses from List

Hello all.

I have a large number of text files outputted from various Netstumbler Wireless Scans; from which I need to extract the MAC addresses of the various Access Points.

The Text files look like this:

Code:
# $Creator: Network Stumbler Version 0.4.0
# $Format: wi-scan summary with extensions
# Latitude	Longitude	( SSID )	Type	( BSSID )	Time (GMT)	[ SNR Sig Noise ]	# ( Name )	Flags	Channelbits	BcnIntvl	DataRate	LastChannel
# $DateGMT: 2008-01-16
N 0.0000000	E 0.0000000	( belkin54g )	BSS	( 00:11:50:d7:c7:3c )	16:44:39 (GMT)	[ 19 68 49 ]	# (  )	0411	00000800	100	540	11
N 0.0000000	E 0.0000000	( BUFVC Wireless )	BSS	( 00:03:93:ec:21:93 )	16:44:39 (GMT)	[ 33 82 49 ]	# (  )	0411	00000080	100	540	7
N 0.0000000	E 0.0000000	( F-Wireless Zone )	BSS	( 00:19:e8:d8:c2:e0 )	16:44:39 (GMT)	[ 24 73 49 ]	# (  )	0421	00002000	100	540	13

What I would like to do is extract the MAC addresses into another text file so that it ends up looking like this:

FINAL TEXT FILE
Code:
00.11.50.d7.c7.3c
00.03.93.ec.21.93
00.19.e8.d8.c2.e0

I'm pretty new at this whole scripting thing, but I've managed to work our a couple of steps of this process.

1) I can use grep 'N 0.0' to get just the lines with MAC addresses

2) I can probably use tr -d to delete the () around the MAC addresses

What I'm failing to be able to do is basically everything else

1) how do I get just the MAC addresses out of that long line?
2) how do I swap the ":" separating the parts of the MAC addresses for "." ?

I realise this is probably fairly straight forward, and I've tried looking in the various man pages for the likes of awk, sed and grep, but to be honest they are a little confusing.

Any help getting my Wireless Scan text file to look like my hoped for Final text file would be greatly appreciated!

Cheers
# 2  
Old 01-24-2008
[code:]


nawk -F'[()]' 'NR>3 {print $4}' filename


[code:]
# 3  
Old 01-24-2008
Thanks!

Initially it didn't work, and returned "command not found" but after a little research I realised that nawk is just "new awk" so subtituted awk, and it worked. (I don't think OS X has nawk installed)

Thank you very much.

Secondary question, if you have time, could you explain how it's working...Smilie

What are the various parts of that command doing? It would help me in the future to understand what is going on.

Cheers.
# 4  
Old 01-24-2008
set the field seperators as "(" or ")" :
Code:
-F'[()]'

Then for any record (aka line) number >3 :
Code:
 'NR>3

print the 4th field :
Code:
{print $4}'


Last edited by Tytalus; 01-24-2008 at 09:20 AM.. Reason: ninor typos
# 5  
Old 01-24-2008
Brilliant, thanks for that. Very helpful.Smilie
# 6  
Old 01-29-2008
Not quite as neat or clean as the awk example, but perhaps useful if the field changes:
Code:
egrep -o "[a-z0-9]{2}:[a-z0-9]{2}:[a-z0-9]{2}:[a-z0-9]{2}:[a-z0-9]{2}:[a-z0-9]{2}" filename

# 7  
Old 01-29-2008
Interesting. I really like that way of doing it actually. And as you say, could be useful if NetStumbler changes their output format.

If anyone is interested, here is the finished script.
Code:
#!/bin/sh

# This script combines the Netstumbler wireless reports and trims and formats them for the monthly report.
# It needs to be run from the directory in which the text files are stored.
# There should NOT be any other files in the directory, and they should all have the file extension .txt

# Combines the files into one

cat *.txt > all0.txt

# Trims out only relevant lines

grep 'N 0.0' all0.txt > all1.txt

# Trims out the rubbish, and outputs the MACS only

awk -F'[()]' 'NR {print $4}' all1.txt > all2.txt

# Substitutes "." for ":" as the MAC address separators

sed -e 's/:/./g' all2.txt > MAC_addresses_from_wireless_scan.txt

# Removes the leftover text files.

rm all0.txt
rm all1.txt
rm all2.txt

I'm sure there is a neater way to do it, without the intermediate files, but as I'm fairly new at this scripting, and just wanted the job done, I went with the way I was sure I could do it.

Comments welcome.
 
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