Mailchimp Connector for Python

Read / write MailChimp Campaigns, Lists, Members, Reports and more in without coding.

In this article you will learn how to quickly and efficiently integrate Mailchimp data in Python. We will use high-performance Mailchimp Connector to easily connect to Mailchimp and then access the data inside Python.

Let's follow the steps below to see how we can accomplish that!

Download Documentation

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Mailchimp using Python we first need to create a DSN (Data Source) which will access data from Mailchimp. We will later be able to read data using Python. Perform these steps:

  1. Download and install ODBC PowerPack.

  2. Open ODBC Data Sources (x64):

    Open ODBC Data Source
  3. Create a User data source (User DSN) based on ZappySys API Driver

    ZappySys API Driver
    Create new User DSN for ZappySys API Driver
    • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
    • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
  4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Mailchimp" from the list of Popular Connectors. If "Mailchimp" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

    MailchimpDSN
    Mailchimp
    ODBC DSN Template Selection
  5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    Steps how to get and use Mailchimp credentials
    To get the credentials you need in order to set up your OAuth workflow, you'll first need to register your application with Mailchimp:
    1. Login into your Mailchimp account, click on your Profile Icon, and hit Account & billing: Start by going to Mailchimp account
    2. Navigate to the Registered Apps page in your Mailchimp account: Go to registered OAuth apps in Mailchimp
    3. Click Register An App button: Register new OAuth app in Mailchimp
    4. Fill-in the Register An App form and click Create button: Enter OAuth app details in Mailchimp
      NOTE: For Redirect URI use Redirect URI (also called "Redirect URL" or "Callback URL") given by your IT administrator or just use https://zappysys.com/oauth, if you don't have one.
    5. After successfully registering your application, you'll see the Client ID and Client Secret, record these values and store them securely: Use OAuth app to get Mailchimp data via REST API
    6. Record your Mailchimp data center, since we will need it later. The data center is located in your browser's address bar URL. If the URL is https://us21.admin.mailchimp.com/account/api, then your data center is us21.
    7. Now go to SSIS package or ODBC data source OAuth authentication configuration.
    8. Proceed by entering the data center into the Data Center field that was recorded in the previous step.
    9. Then enter the Client ID value into the Client ID field that you recorded in the previous step.
    10. Enter the Client Secret value into the Client Secret field that was recorded in the previous step.
    11. Click Generate Token. If proper authentication occurs, you will see a confirmation notice. If you get an error, click Yes on the dialog box and then a large browser window will launch. Then log into your Mailchimp account and approve the use of the application.
    12. Finally, hit the Test Connection button at the bottom of the window to verify proper connectivity with your Mailchimp account.
    13. If the connection test succeeds, select OK.
    14. Done! Now you can use Mailchimp Connector!

    Fill in all required parameters and set optional parameters if needed:

    MailchimpDSN
    Mailchimp
    OAuth [OAuth]
    https://[$DataCenter$].api.mailchimp.com
    Required Parameters
    Data Center Fill-in the parameter...
    Client Id Fill-in the parameter...
    Client Secret Fill-in the parameter...
    Default List Id Fill-in the parameter...
    Optional Parameters
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    ODBC DSN Oauth Connection Configuration
    Steps how to get and use Mailchimp credentials
    The simplest way to authenticate a request to the Mailchimp Marketing API is by using an API key (If you require access to Mailchimp on behalf of other Mailchimp users, you'll want to set up OAuth authentication instead)::
    1. Login into your Mailchimp account, click on your Profile Icon, and hit Account & billing: Start by going to Mailchimp account
    2. Navigate to the API keys page in your Mailchimp account: Go to API Keys in Mailchimp
    3. In the Your API keys section of the page, click Create A Key button: Create new API Key in Mailchimp
    4. Give your new key a descriptive name that will remind you which application it's used for: Name API Key in Mailchimp
    5. Copy the API key immediately and store it in a secure location (you won't be able to see or copy the key once you finish generating it): Use API Key to get Mailchimp data via REST API
    6. Record your Mailchimp data center, since we will need it later. The data center is located in your browser's address bar URL. If the URL is https://us21.admin.mailchimp.com/account/api, then your data center is us21.
    7. Now go to SSIS package or ODBC data source ApiKey Auth authentication configuration.
    8. Proceed by entering the data center into the Data Center field that was recorded in the previous step.
    9. Then enter the API key into the Api Key field that you copied earlier.
    10. Finally, click the Test Connection button at the bottom of the window to verify proper connectivity with your Mailchimp account.
    11. Done! Now you can use Mailchimp Connector!

    Fill in all required parameters and set optional parameters if needed:

    MailchimpDSN
    Mailchimp
    ApiKey Auth [Http]
    https://[$DataCenter$].api.mailchimp.com
    Required Parameters
    Api Key Fill-in the parameter...
    Default List Id Fill-in the parameter...
    Optional Parameters
    Data Center
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    ODBC DSN HTTP Connection Configuration

  6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

    ZappySys API Driver - Mailchimp
    Read / write MailChimp Campaigns, Lists, Members, Reports and more in without coding.
    MailchimpDSN
    Open Query Builder in API ODBC Driver to read and write data to REST API
  7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Python to retrieve data from Mailchimp. Hit OK button to use this query in the next step.

    SELECT * FROM Campaigns
    Configure table/endpoint parameters in ODBC data source based on API Driver
    Some parameters configured in this window will be passed to the Mailchimp API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.
  8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Python:

    ZappySys API Driver - Mailchimp
    Read / write MailChimp Campaigns, Lists, Members, Reports and more in without coding.
    MailchimpDSN
    SELECT * FROM Campaigns
    API ODBC Driver-based data source data preview
    You can also access data quickly from the tables dropdown by selecting <Select table>.
    A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Mailchimp API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Mailchimp servers).
  9. Click OK to finish creating the data source.

Video Tutorial

Read data in Python

Using ODBC DSN

  1. Python code to get the data:

    MailchimpDSN')
    Python code to get the data from ZappySys DSN

  2. When you run the code it will make the API call and read the data:
    Python - Extracted data from ZappySys DSN

  3. Here is Python program's code in text format:

    
        import pyodbc
        conn = pyodbc.connect('DSN=MailchimpDSN')
    
        cursor = conn.cursor()
    
        #execute query to fetch data from API service
        cursor.execute("SELECT id,title FROM products")
    
        row = cursor.fetchone()
        while row:
            print(row)
            row = cursor.fetchone()
    
        ##For loop example
        #for row in cursor:
        #    print(row)
    

Using a full ODBC connection string

If you want to avoid being dependent on a DSN and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String:

  1. Open ODBC data source configuration and click Copy settings:
    ZappySys API Driver - Configuration [Version: 2.0.1.10418]
    ZappySys API Driver - Mailchimp
    Read / write MailChimp Campaigns, Lists, Members, Reports and more in without coding.
    MailchimpDSN
    Copy connection string for ODBC application
  2. The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application
  3. Then in your Python code use Connection String when initializing OdbcConnection object, for example:

    conn = pyodbc.connect('DRIVER={ZappySys API Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

How to install `pyodbc` in the Python?

You would need to install pyodbc in Python if you intend to establish connections to databases that support ODBC (Open Database Connectivity). This module facilitates communication between Python applications and various database management systems, enabling you to perform operations such as querying, retrieving data, and managing databases. Here's how you can install pyodbc in Python:

Installation Steps:

  1. Ensure you have Python installed on your system. If not, download it from the official Python website and follow the installation instructions.

  2. Open your terminal or command prompt.

  3. Use the following command to install pyodbc using pip, the Python package installer:

    python -m pip install "pyodbc"

    Make sure you have a stable internet connection and the necessary permissions to install Python packages.


    Python - pip install pyodbc

Reasons to Install:

  • If pyodbc is not installed, your Python script will generate the following error:
    "ModuleNotFoundError: No module named 'pyodbc'"
    .
  • Database Connectivity: pyodbc allows Python to connect to various databases that support ODBC, such as Microsoft SQL Server, PostgreSQL, MySQL, and more.

  • Data Operations: It facilitates the execution of SQL queries, retrieval of data, and other database operations from within Python scripts.

  • Cross-Platform Support: pyodbc is designed to work across different operating systems, including Windows, macOS, and various Linux distributions.

  • Simplicity and Efficiency: The module provides an intuitive interface for managing database transactions and connections, simplifying the process of working with databases in Python.

By installing pyodbc, you can seamlessly integrate your Python applications with a wide range of ODBC-supported databases, enabling efficient and effective data management and analysis.

Actions supported by Mailchimp Connector

Learn how to perform common Mailchimp actions directly in Python with these how-to guides:

Conclusion

In this article we showed you how to connect to Mailchimp in Python and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Mailchimp, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Mailchimp Connector for Python and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Mailchimp Connector for Python Documentation

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