How to load data from ConvertKit to DynamoDB

Learn how to use Airbyte to synchronize your ConvertKit data into DynamoDB within minutes.

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Set up a ConvertKit connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up DynamoDB for your extracted ConvertKit data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the ConvertKit to DynamoDB in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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How to Sync to Manually

Step 1: Export Data from ConvertKit

First, log in to your ConvertKit account and navigate to the Subscribers section. Use the export functionality to download your subscriber data. This will typically be in CSV format. Make sure to include all relevant fields that you will need in DynamoDB.

Install and configure the AWS Command Line Interface (CLI) on your machine. This will be necessary for interacting with DynamoDB. Use the command `aws configure` to set up your AWS credentials, specifying your Access Key ID, Secret Access Key, region, and output format.

Using the AWS Management Console or AWS CLI, create a new DynamoDB table to store your data. Define the primary key (partition key and optionally a sort key) based on the structure of the data you exported. For example, if each subscriber has a unique email, you might use that as the partition key.

Convert the CSV file exported from ConvertKit into JSON format, which is required for importing data into DynamoDB. You can use a Python script or a command-line tool like `csvtojson` to perform this conversion. Ensure that the JSON structure matches the attribute names and types defined in your DynamoDB table.

Write a script in a language of your choice (Python, Node.js, etc.) to read the JSON data and batch write it to DynamoDB. Use the AWS SDK for the language you're using to interact with DynamoDB. The script should handle pagination if your data exceeds DynamoDB's batch write limits (25 items or 16 MB per request).

Run your script to import the data into DynamoDB. Monitor the process to ensure that all records are successfully written. Handle any exceptions or errors that occur during this process, such as throttling or malformed data entries.

After importing, verify the data integrity by querying the DynamoDB table and ensuring all expected data points are present and accurate. You can use the AWS Management Console, AWS CLI, or a custom script to perform sample queries and cross-check a subset of the data against the original CSV file.

By following these steps, you can successfully move data from ConvertKit to DynamoDB without relying on third-party connectors or integrations.