How to load data from Lokalise to MySQL Destination

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

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 MySQL Destination 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 MySQL Destination 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: Export Data from Lokalise

Begin by logging into your Lokalise account. Navigate to the project containing the data you wish to export. Use Lokalise's export feature to download the data in a compatible file format such as CSV or JSON. This will allow you to handle the data manually for further processing.

Step 2: Prepare the Data for Import

Once you have the exported file, open it using a text editor or spreadsheet application. Ensure that the data is clean and structured appropriately for your MySQL database. This may involve checking for any inconsistencies, unwanted characters, or formatting issues. If your data is in JSON format, you may need to convert it to CSV to simplify the import process.

Step 3: Set Up a MySQL Database

If you haven't already, set up a MySQL database where you will import the Lokalise data. Use a MySQL client or the command line to create a database and the necessary tables that match the structure of your Lokalise data. Define columns accurately to ensure data integrity during import.

Step 4: Configure MySQL for Data Import

Ensure your MySQL server is configured to accept data imports. This may involve setting the appropriate permissions for the user account you will use to execute the import. Additionally, check that the MySQL server has sufficient resources to handle the data volume you plan to import.

Step 5: Create a Data Import Script

Write a script to automate the data import process. You can use a scripting language like Python to read the CSV or JSON file and insert the data into your MySQL database. Use libraries such as `csv` for CSV files or `json` for JSON files, and libraries like `mysql-connector-python` to interact with the MySQL database.

Step 6: Execute the Import Script

Run the script to transfer data from the exported file into your MySQL database. Monitor the import process for any errors or warnings. Depending on the size of your data, this process may take some time. Ensure that all records are inserted correctly and verify the integrity of the data in your MySQL tables.

Step 7: Verify and Validate Data Integrity

After the import is complete, perform a thorough check to ensure that all data has been imported correctly. Compare a sample of the imported data against the original Lokalise data to verify accuracy. Use SQL queries to check for any discrepancies, missing records, or incorrect data types. Make any necessary corrections to ensure the data integrity of your MySQL database.

Following these steps will help you successfully move data from Lokalise to a MySQL destination without relying on third-party connectors or integrations.