PostMonkey
is a simple Python (2.6+) wrapper for MailChimp's API
version 1.3.
- 100% unit test and code coverage
- Connections handled by Requests
- Configurable timeout
- Simple
Exceptions
Once you create a PostMonkey
instance with your MailChimp API key,
you can use it to call MailChimp's API methods directly:
from postmonkey import PostMonkey
pm = PostMonkey('your_api_key')
pm.ping() # returns u"Everything's Chimpy!"
If the MailChimp method call accepts parameters, you can supply them in the form
of keyword arguments. See Examples
for common use cases, and refer to the
MailChimp API v1.3 official documentation
for a complete list of method calls, parameters, and response objects.
MailChimp has established guidelines/limits for API usage, so please refer to their FAQ for information.
Note: it is the caller's responsibility to supply valid method names and any
required parameters. If MailChimp receives an invalid request, PostMonkey
will raise a postmonkey.exceptions.MailChimpException
containing the
error code and message. See
MailChimp API v1.3 - Exceptions
for additional details.
Create a new PostMonkey
instance with a 10 second timeout for requests:
from postmonkey import PostMonkey
pm = PostMonkey('your_api_key', timeout=10)
Get the IDs for your campaign lists:
lists = pm.lists()
# print the ID and name of each list
for list in lists['data']:
print list['id'], list['name']
Subscribe "emailaddress" to list ID 5:
pm.listSubscribe(id=5, email_address="emailaddress")
Catch an exception returned by MailChimp (invalid list ID):
from postmonkey import MailChimpException
try:
pm.listSubscribe(id=42, email_address="emailaddress")
except MailChimpException, e:
print e.code # 200
print e.error # u'Invalid MailChimp List ID: 42'
Get campaign data for all "sent" campaigns:
campaigns = pm.campaigns(filters=[{'status': 'sent'}])
# print the name and count of emails sent for each campaign
for c in campaigns['data']:
print c['title'], c['emails_sent']