How to load data from Recruitee to DynamoDB

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Recruitee 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 Recruitee 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 Recruitee 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: Access Recruitee API

To begin, obtain API access to Recruitee. Log into your Recruitee account, navigate to the settings, and generate an API key. This key will allow you to programmatically access the data within your Recruitee account. Familiarize yourself with the Recruitee API documentation to understand the endpoints available for data extraction.

Step 2: Set Up AWS SDK for DynamoDB

Install and configure the AWS SDK for the programming language you intend to use (e.g., Python, Node.js, Java). This SDK will enable you to interact with DynamoDB. For Python, for example, you can install `boto3` using pip. Make sure you have AWS credentials set up in your environment to allow access to DynamoDB.

Step 3: Extract Data from Recruitee

Utilize the Recruitee API to fetch the data you need. You can write a script to make HTTP GET requests to the relevant Recruitee API endpoints, such as those for candidates, jobs, or any other data entities you wish to migrate. Parse the JSON responses and store the data in a suitable data structure within your script.

Step 4: Transform Data for DynamoDB

DynamoDB requires data to be in a specific format and structure. Transform the data extracted from Recruitee into JSON format that aligns with the DynamoDB schema you plan to use. This might include converting data types, renaming fields, or restructuring nested data to fit the table design of DynamoDB.

Step 5: Create DynamoDB Table

Before inserting data, ensure your DynamoDB table is set up. Use the AWS Management Console or the AWS SDK to create a DynamoDB table with the necessary primary key schema and any secondary indexes needed for your queries. Define the capacity mode (provisioned or on-demand) based on your expected workload.

Step 6: Insert Data into DynamoDB

Write a script to insert the transformed data into the DynamoDB table. Use the `put_item` method for individual records or `batch_write_item` for multiple records to improve performance. Handle any exceptions or errors in the insertion process, such as duplicate keys or validation errors, to ensure data integrity.

Step 7: Verify Data Integrity

After the data has been inserted, verify the data integrity by querying the DynamoDB table. You can write scripts to perform sample queries and compare them with the original data from Recruitee. Check for data completeness, type consistency, and alignment with the intended schema to ensure a successful migration.

By following these steps, you can effectively transfer data from Recruitee to DynamoDB using a direct approach without relying on third-party connectors or integrations.