How to load data from Recruitee to S3 Glue

Learn how to use Airbyte to synchronize your Recruitee data into S3 Glue 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 S3 Glue 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 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: Extract Data from Recruitee

Begin by accessing Recruitee's API to extract the necessary data. You will need to authenticate using your API key, which you can find in the Recruitee admin settings. Use HTTP GET requests to fetch data from the relevant endpoints. You can use Python with the `requests` library to automate this process.

Once you've fetched the data, transform it into a CSV or JSON format. This step is crucial for ensuring compatibility with AWS services. Use Python's `pandas` library to convert the data into a DataFrame and then export it to CSV using `DataFrame.to_csv()` or to JSON using `DataFrame.to_json()`.

Set up an AWS S3 bucket to store the data. Go to the AWS Management Console, create a new S3 bucket, and configure the necessary permissions. Ensure the bucket policy allows for data upload and access from your environment.

Use the AWS SDK for Python (Boto3) to programmatically upload your CSV or JSON files to the S3 bucket. Install Boto3 and use the `upload_file` method to transfer the data. Make sure you have configured your AWS credentials locally to allow Boto3 to authenticate.

In the AWS Management Console, create a new Glue Crawler to catalog the data stored in your S3 bucket. Define the data source as the S3 bucket and specify the IAM role that Glue can assume to access it. Run the crawler to populate the AWS Glue Data Catalog with table definitions.

After the data is cataloged, create an AWS Glue Job to process or transform this data further if needed. Choose the appropriate ETL script, define job properties, and select the IAM role for execution. You can script transformations using PySpark or Scala as per your requirements.

Finally, execute the Glue Job and monitor its progress through the AWS Management Console. Check the logs and output files to ensure the data has been moved and processed correctly. You may also use AWS CloudWatch for detailed logging and monitoring to troubleshoot any issues that arise.

By following these steps, you will be able to move data from Recruitee to AWS S3 and further process it using AWS Glue without relying on third-party connectors.