Begin by accessing the Workable API using HTTP requests. You need to authenticate using an API key or OAuth token provided by Workable. Use the endpoint specific to the data you need (e.g., candidates, jobs). You can use a programming language like Python with libraries such as `requests` to send GET requests and fetch the JSON response containing your data.

Once you have the JSON response from the Workable API, parse it to extract the relevant information. This involves converting the JSON data into a Python dictionary or a similar data structure in your programming language of choice. Ensure you handle any nested data appropriately, extracting only the fields you need for your DynamoDB table.

Prepare your environment to interact with AWS by setting up the AWS SDK. For Python, this involves installing the `boto3` library. Configure your AWS credentials to gain access to your AWS services. This can be done by setting environment variables `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` or using the AWS credentials file.

Log into the AWS Management Console and navigate to DynamoDB. Create a new table specifying a primary key (partition key and optionally a sort key) based on the data structure you’re transferring from Workable. Define the table's read and write capacity units if you're not using on-demand mode.

Convert the parsed Workable data into a format compatible with DynamoDB. This involves serializing the data into a structure that DynamoDB understands, such as lists of key-value pairs. Ensure data types are compatible with DynamoDB types (e.g., strings, numbers, and booleans).

Use the AWS SDK to interact with DynamoDB and insert the transformed data. For batch operations, use `batch_write_item` to efficiently load multiple records at once, ensuring you handle potential errors or throttling by implementing retry logic. For individual records, use `put_item`.

After loading the data, verify that it has been correctly inserted into DynamoDB. Use the AWS Management Console or a script to query the DynamoDB table and check sample data entries. Compare these entries with the original Workable data to ensure accuracy and completeness.

This guide outlines a direct approach to migrate data from Workable to DynamoDB without relying on third-party tools, focusing on using APIs and AWS services directly.