PyPardot4

PyPardot was originally created by Josh Geller as a wrapper for Version 3 of the Pardot API. I, Matt Needham, have edited PyPardot for compatibility with Version 4 of the Pardot API. Version 4 accommodates multiple prospects with the same email address. If your Pardot org does not have this featured enabled, you must use version 3. To determine if your Pardot org has this feature enabled, check out this guide.

PyPardot is an API wrapper for Pardot, written in Python.

Using it is simple:

from pypardot.client import PardotAPI

p = PardotAPI(
  email='[email protected]',
  password='password',
  user_key='userkey'
)
                
p.authenticate()

# Create a new prospect
p.prospects.create(email='[email protected]', first_name='Joe', last_name='Schmoe')

# Read data about our prospect
print(p.prospects.read_by_email(email='[email protected]'))

Features

• Includes all documented Pardot API operations
• Handles API key expiration
• Detailed API error handling

Object Types & Operations

Support for the following object types:

• Accounts
• Campaigns
• Custom Fields
• Custom Redirects
• Dynamic Content
• Emails
• Email Clicks
• Email Templates
• Forms
• Lifecycle Histories
• Lifecycle Stages
• Lists
• List Memberships
• Opportunities
• Prospects
• Prospect Accounts
• Tags
• TagObjects
• Users
• Visitor Activities
• Visitors
• Visits

Required

• requests

Installation

Install PyPardot by running:

pip install pypardot4

Usage

Authentication

To connect to the Pardot API, you'll need the e-mail address, password, and user key associated with your Pardot account. Your user key is available in the Pardot application under My Settings.

The client will authenticate before performing other API calls, but you can manually authenticate as well:

p = PardotAPI(
  email='your_pardot_email',
  password='your_pardot_password',
  user_key='your_pardot_user_key'
)
                
p.authenticate()

Querying Objects

Supported search criteria varies for each object. Check the official Pardot API documentation for supported parameters. Most objects support limit, offset, sort_by, and sort_order parameters. PyPardot returns JSON for all API queries.

Note: Pardot only returns 200 records with each request. Use offset to retrieve matching records beyond this limit.

# Query and iterate through today's prospects
prospects = p.prospects.query(created_after='yesterday')
total = prospects['total_results'] # total number of matching records
for prospect in prospects['prospect']
  print(prospect.get('first_name'))

Editing/Updating/Reading Objects

Supported fields varies for each object. Check the official Pardot API documentation to see the fields associated with each object.

# Create a new prospect
p.prospects.create_by_email(email='[email protected]', first_name='Joe', last_name='Schmoe')

# Update a prospect field (works with default or custom field)
p.prospects.update_field_by_id(id=23839663, field_name='company', field_value='Joes Plumbing')

# Send a one-off email
p.emails.send_to_email(prospect_email='[email protected]', email_template_id=123)

Error Handling

Handling expired API keys

Pardot API keys expire after 60 minutes. If PyPardot detects an 'Invalid API key' error during any API call, it will automatically attempt to re-authenticate and obtain a new valid API key. If re-authentication is successful, the API call will be re-issued. If re-authentication fails, a PardotAPIError is thrown.

Invalid API parameters

If an API call is made with missing or invalid parameters, a PardotAPIError is thrown. Error instances contain the error code and message corresponding to error response returned by the API. See Pardot Error Codes & Messages in the official documentation.

Performing API calls is inherently unsafe, so be sure to catch exceptions:

try:
  p.prospects.create_by_email(email='[email protected]')
except PardotAPIError, e:
  print(e)