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Apache Common/Combined Log Format Parser

Project description

Parses a single Apache web log format record. The parser wil first attempt to match a combined format record, if this fails it will attempt to match a common format record. In the event that the record matches neither pattern, a null record will be returned.

To return a dictionary representing the entire record or a list of specified objects call CLFParser.logDict(record), passing a single log record:

>>> from clfparser import CLFParser
>>> logRecord=' - - [15/Jul/2009:14:58:59 -0700] "GET /favicon.ico HTTP/1.1" 404 209'
>>> clfDict=CLFParser.logDict(logRecord)
>>> print clfDict
{'b': '209', 'h': '', 'time': datetime.datetime(2009, 7, 15, 14, 58, 59), 'l': '-', 'Referer': '',
    's': '404', 'r': '"GET /favicon.ico HTTP/1.1"', 'u': '-', 't': '[15/Jul/2009:14:58:59 -0700]', 'timezone': '-0700', 'Useragent': ''}

Note that the returned dictionary keys lack the leading %, this will hopefully be amended in a later release.

To return a subset of the log record as a list, call CLFParser.logParts(record, formatMask). where formatMask is a quoted string listing the log items required in the output:

>>> clfParts=CLFParser.logParts(test,'%h %time')
>>> print clfParts
['', datetime.datetime(2009, 7, 15, 14, 58, 59)]

Common Log Format

Described by:

'%h %l %u %t "%r" %>s %b'


  • %h - host
  • %l - identity
  • %u - userid
  • %t - time
  • %r - request
  • %>s - status
  • %b - size

Combined Log Format

As Common Log Format with the addition of 2 further fields:

'%h %l %u %t "%r" %>s %b "%{Referer}i" "%{User-agent}i"'


  • %{Referer}i - HTTP request header referer
  • %{User-agent}i - HTTP request header user agent

Additional Fields

In addition to the standard log fields, clfparser also parses the log time field, %t, to create a Python datetime object %time and a string object representing the timezone, %timezone.


Install using pip:

pip install clfparser

To Do

  • Amend dictionary key names to reflect the Apache specification (add leading %).
  • Performance improvements
  • Command line tools
  • Identify request resource as an additional data item

Project details

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