How to load data from Gong to Kafka

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

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Bespoke pipelines are:
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Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Gong 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 Gong 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 Gong 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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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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Tech Lead at Symend

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How to Sync to Manually

Step 1: Understand Gong's API for Data Access

Begin by thoroughly reviewing Gong's API documentation. Gong provides an API that can be used to retrieve data such as call recordings, transcripts, and other insights. Ensure you understand how to authenticate and access the data you need. Identify the endpoints and data structures you will work with.

Step 2: Set Up Kafka Environment

Install and configure a Kafka environment on your server. This involves setting up a Kafka broker and configuring Zookeeper, which Kafka uses for distributed coordination. Ensure your Kafka server is running and accessible from the network where you plan to process and send data.

Step 3: Develop a Data Extraction Script

Write a script in a language such as Python, Node.js, or Java to interact with Gong's API. This script should handle authentication, perform API requests to fetch data from Gong, and handle any pagination or rate-limiting requirements. Test the script to ensure it can successfully retrieve the desired data.

Step 4: Transform Data for Kafka Compatibility

Once data is retrieved from Gong, transform it into a format that can be published to Kafka. This typically involves converting it into JSON or another serializable format. Ensure the data structure aligns with the topics and schemas defined in your Kafka setup.

Step 5: Set Up Kafka Producer

Develop a Kafka producer within your script. This producer will be responsible for sending the transformed data to the appropriate Kafka topic. Use Kafka's producer APIs to configure the producer with necessary parameters like the Kafka broker's address, topic name, and serialization format.

Step 6: Implement Error Handling and Logging

Enhance your script with robust error handling and logging mechanisms. This includes handling potential API failures, network issues, or Kafka broker unavailability. Implement logging to capture both successful data transmissions and errors for troubleshooting and auditing purposes.

Step 7: Schedule and Automate the Data Transfer

Use a scheduling tool such as cron (for Unix-based systems) or Task Scheduler (for Windows) to automate the execution of your script. Determine the frequency of data transfer based on your requirements (e.g., hourly, daily). Ensure that the scheduling tool can execute the script reliably and monitor its operation for any issues.

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