How to load data from Lokalise to Kafka

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

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Set up a Lokalise 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 Lokalise 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 Lokalise 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: Set Up Lokalise API Access

Begin by obtaining API access from Lokalise. Log in to your Lokalise account and navigate to the API tokens section. Generate a new API token, ensuring it has the necessary permissions to access the data you want to move. Note the token for use in subsequent steps.

Plan the logic to extract data from Lokalise. Identify the specific data you need, such as translations or project details. Use Lokalise API documentation to understand the endpoints available and how to structure your API requests to retrieve the necessary data.

Write a script in a programming language of your choice (e.g., Python, Java) to connect to Lokalise using the API token. Use HTTP requests to fetch the data. Parse the JSON response to extract the relevant information. This script should be able to run independently and be scheduled if regular updates are needed.

Data extracted from Lokalise may need transformation to fit Kafka's message format. Define the structure of your Kafka messages, typically in JSON or Avro format. Modify your extraction script to transform the Lokalise data into this format, ensuring that the keys and values meet the schema you plan to use in Kafka.

Install and configure Apache Kafka on your local machine or server. Ensure Kafka is running properly by starting the Kafka server and ensuring the required topics are created. Use the Kafka command-line tools to create topics that will receive data from Lokalise.

Develop a Kafka producer script using a Kafka client library compatible with your chosen programming language. This script should read the transformed data and send it to the appropriate Kafka topic. Handle errors and retries to ensure data is sent successfully.

Conduct thorough testing to ensure data is correctly extracted from Lokalise, transformed, and sent to Kafka. Use sample data to verify each step of the process. Once testing is successful, deploy the solution. Set up a cron job or similar scheduling tool to automate the process if ongoing data transfer is required. Monitor the solution for any issues and adjust as needed.

By following these steps, you can efficiently move data from Lokalise to Kafka without relying on third-party connectors.