How to load data from ConvertKit to S3 Glue

Learn how to use Airbyte to synchronize your ConvertKit data into S3 Glue within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

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 S3 Glue 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 S3 Glue 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

Log into your ConvertKit account and navigate to the "Subscribers" tab. Use the export feature to download your subscriber data as a CSV file. Ensure that you have the necessary permissions to export data and store it securely on your local machine.

Step 2: Prepare AWS CLI on Your Machine

If you haven't already, install the AWS Command Line Interface (CLI) on your machine. You can download it from the AWS website. Once installed, configure it with your AWS credentials using the command `aws configure`, and provide your Access Key, Secret Key, and default region.

Step 3: Create an S3 Bucket

Log into your AWS Management Console and navigate to the S3 service. Create a new S3 bucket where you will upload the ConvertKit data. Ensure the bucket name is globally unique and select a suitable region. Configure any necessary permissions and access controls.

Step 4: Upload CSV Data to S3 Bucket

Use the AWS CLI to upload the CSV file to your newly created S3 bucket. Navigate to the directory where your CSV file is stored and run the following command:
```
aws s3 cp your_file.csv s3://your-bucket-name/
```
Replace `your_file.csv` with the name of your CSV file and `your-bucket-name` with the name of your S3 bucket.

Step 5: Set Up AWS IAM Roles for Glue

In the AWS Management Console, navigate to the IAM service and create a new role for AWS Glue with the necessary permissions. Attach policies that allow Glue to access S3 and create logs. This role will be used by Glue to read data from S3 and write logs.

Step 6: Create a Glue Crawler

Go to the AWS Glue Console and create a new crawler. Configure it to use the IAM role you created earlier. Set the S3 bucket as the data source and specify the path to your CSV file. The crawler will catalog the data and create metadata for it in the Glue Data Catalog.

Step 7: Run the Glue Crawler and Query Data

Execute the Glue crawler to scan the S3 bucket and catalog the data. Once the crawler completes, the metadata is available in the Glue Data Catalog. You can now use AWS Glue ETL jobs or Amazon Athena to perform queries on your data, transforming or analyzing it as needed.