How to load data from SurveyMonkey to DynamoDB

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

Try Airbyte Cloud Manual method (the hard way)

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Set up a SurveyMonkey 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 SurveyMonkey 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 SurveyMonkey 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 SurveyMonkey

Start by logging into your SurveyMonkey account. Navigate to the survey whose data you want to export. Click on the "Analyze Results" tab, and then select "Export" from the options. Choose the format that suits your needs, such as CSV or Excel, and download the file to your local machine.

Step 2: Parse the Exported Data

Open the exported CSV or Excel file using a data processing tool like Python with Pandas, or any spreadsheet software. Inspect the structure of the data to understand the columns and their corresponding data types. This will be crucial for mapping the data to DynamoDB's schema.

Step 3: Set Up AWS DynamoDB Table

Log into your AWS Management Console and navigate to DynamoDB. Create a new table by specifying the table name and defining the primary key attributes (Partition Key and optionally, Sort Key) that should uniquely identify each item. Make sure the data types of the keys are compatible with your SurveyMonkey data.

Step 4: Install AWS SDK for Data Insertion

If you are using Python, install the AWS SDK (Boto3) by running `pip install boto3`. This library will allow you to interact with DynamoDB using Python scripts. Ensure you have configured your AWS credentials locally using the AWS CLI (`aws configure`) or environment variables.

Step 5: Write a Script to Transform and Load Data

Develop a script in Python (or another programming language with AWS SDK support) to read the parsed SurveyMonkey data and transform it into a format suitable for DynamoDB. This includes converting data types as needed and creating dictionaries or JSON objects that match the table's schema.

Step 6: Batch Write Data to DynamoDB

Use the DynamoDB `batch_write_item` API call to insert data into your table. Due to DynamoDB's limits on write operations, ensure that your script handles batching appropriately, usually in segments of 25 items or less. Implement error handling to manage retries in case of throttling or other issues.

Step 7: Verify Data Integrity

Once the data is loaded, verify the integrity and accuracy of the data in DynamoDB. You can do this by querying the table using the AWS Management Console or writing a script that retrieves and checks the data against your original SurveyMonkey export. Ensure all expected records are present and correctly formatted.

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