PostMonkey is a simple Python (2.6+) wrapper for MailChimp's API version 1.3.
- 100% test coverage
- Connection handling via the excellent Requests library
- 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']