blog post: Push data to Google Analytics with Python: https://medium.com/p/pushing-data-to-google-analytics-with-python-80eb9691d61f

ga.py

"""
Simple proof of concept code to push data to Google Analytics.

Related blog post:
 * https://medium.com/python-programming-language/80eb9691d61f
"""
from random import randint
from urllib import urlencode
from urllib2 import urlopen
from urlparse import urlunparse
from hashlib import sha1
from os import environ

# Set your proprty id via the environment or simply type it
# below
PROPERTY_ID = environ.get("GA_PROPERTY_ID", "UA-xxxxx-xx")

# Generate the visitor identifier somehow. I get it from the
# environment, calculate the SHA1 sum of it, convert this from base 16
# to base 10 and get first 10 digits of this number.
VISITOR = environ.get("GA_VISITOR", "xxxxx")
VISITOR = str(int("0x%s" % sha1(VISITOR).hexdigest(), 0))[:10]

# The path to visit
PATH = "/sample/path/"

# Collect everything in a dictionary
DATA = {"utmwv": "5.2.2d",
        "utmn": str(randint(1, 9999999999)),
        "utmp": PATH,
        "utmac": PROPERTY_ID,
        "utmcc": "__utma=%s;" % ".".join(["1", VISITOR, "1", "1", "1", "1"])}

# Encode this data and generate the final URL
URL = urlunparse(("http",
                  "www.google-analytics.com",
                  "/__utm.gif",
                  "",
                  urlencode(DATA),
                  ""))

# Make the request
print "Requesting", URL
print urlopen(URL).info()

There's also a good reference at https://developers.google.com/analytics/devguides/collection/protocol/v1/devguide . I'm not sure how these compare.