How to load data from Lever Hiring to Kafka

Learn how to use Airbyte to synchronize your Lever Hiring data into Kafka within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Lever Hiring connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Kafka for your extracted Lever Hiring 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 Lever Hiring to Kafka 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 Lever Hiring API

Begin by accessing the Lever Hiring API. Lever provides a RESTful API that allows you to programmatically access the data stored in their system. You'll need to obtain API credentials (such as an access token) from Lever's developer portal to authenticate your requests.

Write a script in a programming language of your choice (such as Python) to interact with the Lever API. Use HTTP GET requests to retrieve the data you need, such as candidate information, job postings, or interview feedback. Make sure to handle pagination if Lever's API returns large datasets in multiple pages.

Once you have retrieved the data, parse the JSON responses into a structured format. Depending on your use case, you may need to transform the data to match the structure required by Kafka. This could involve converting date formats, normalizing text fields, or extracting specific attributes.

Install and configure Kafka on your local machine or server if you haven’t already. Create a Kafka producer using a Kafka client library available for your programming language. Configure the producer with the necessary broker details and topic information where data will be sent.

Serialize the transformed data into a format suitable for Kafka, such as Avro, JSON, or Protobuf. Ensure that your Kafka producer is capable of handling this serialization and that the data structure matches the schema expected by consumers.

Implement the logic in your script to send the serialized data to Kafka. Use the Kafka producer instance to send data to the specified topic. Handle any exceptions or errors that may occur during this process to ensure data integrity and continuity.

Continuously monitor the data flow from Lever to Kafka. This can be done by setting up logs in your script to track successful data transmissions and errors. Additionally, validate that the data is correctly published to Kafka by consuming it from the topic using a Kafka consumer and verifying the contents.

By following these steps, you can successfully move data from Lever Hiring to Kafka without relying on third-party connectors or integrations.