Parse a HAR (HTTP Archive) and return URLs which resulted in a given HTTP response code

har_response_urls.py

#!/usr/bin/env python
"""
Parse a HAR (HTTP Archive) and return URLs which resulted in a given HTTP response code
HAR Spec: http://groups.google.com/group/http-archive-specification/web/har-1-2-spec
Copyleft 2010 Ian Gallagher <[email protected]>

Example usage: ./har_response_urls.py foo.har 404
"""

import json

if '__main__' == __name__:
    import sys

    if len(sys.argv) < 3:
        print "Usage: %s <har_file> <HTTP response code>" % sys.argv[0]
        sys.exit(1)

    har_file = sys.argv[1]
    response_code = int(sys.argv[2])

    # Read HAR archive (skip over binary header if present - Fiddler2 exports contain this)
    har_data = open(har_file, 'rb').read()
    skip = 3 if '\xef\xbb\xbf' == har_data[:3] else 0

    har = json.loads(har_data[skip:])

    matching_entries = filter(lambda x: response_code == x['response']['status'], har['log']['entries'])
    matching_urls = set(map(lambda x: x['request']['url'], matching_entries))
    
    print >>sys.stderr, "URLs which resulted in an HTTP %d response:" % response_code
    for url in matching_urls:
        print url

Hi @sruti842 ! Ping on a nice old gist :)

You can use python's in range(..) as the lambda argument here, like so:

status_min = 400
status_max = 499

matching_entries = filter(lambda x: response_code in range(status_min, status_max + 1), har['log']['entries'])

That should return anything with status codes between 400 and 499, inclusive. Keep in mind that the upper bound to range() is excluded, so you must add one in order to have that behavior. Adjust as desired for your coding style. Here's a little example that you can just run in python or ipython to see the pattern in action:

Python 2.7.17 (default, Nov  7 2019, 10:07:09)
Type "copyright", "credits" or "license" for more information.

IPython 5.9.0 -- An enhanced Interactive Python.

In [1]: status_min = 400
In [2]: status_max = 499
In [3]: x = { 'response': { 'status': 110 } }
In [4]: y = { 'response': { 'status': 450 } }
In [5]: z = { 'response': { 'status': 503 } }
In [6]: filter(lambda x: int(x['response']['status']) in range (status_min, status_max + 1), [x, y, z])

Out[6]: [{'response': {'status': 450}}]

Thank you @craSH . It worked for what I was implementing !.