How to load data from Clockify to Convex

Learn how to use Airbyte to synchronize your Clockify data into Convex within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Clockify connector in Airbyte

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

Set up Convex for your extracted Clockify 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 Clockify to Convex 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 Clockify

Start by logging into your Clockify account. Navigate to the "Reports" section where you can generate a report containing the data you need. Customize the report to include the necessary fields and time frames. Once configured, export the report in a CSV format, which will allow for easier manipulation and import into Convex.

Step 2: Prepare Data for Import

Open the exported CSV file using a spreadsheet application like Excel or Google Sheets. Review the data to ensure accuracy and completeness. Remove any unnecessary columns and format the data columns to match the structure required by Convex. Ensure that date formats, time formats, and any identifiers are consistent with Convex's requirements.

Step 3: Access Convex Database

Log in to your Convex account and navigate to the database management section. Identify the target table or collection where you intend to import the Clockify data. Make note of the data schema, including field names and data types, to ensure compatibility with your prepared data.

Step 4: Transform Data to Match Convex Schema

Using your spreadsheet application, modify the column headers of your CSV file to match the field names in the Convex database. If necessary, create additional calculated fields or transform data to match the expected data types (e.g., converting text to numbers or dates).

Step 5: Create a Script for Data Import

Write a script using a programming language like Python, Node.js, or any language you are comfortable with that supports database operations. Use this script to read the CSV file and insert the data into the Convex database. Make sure to establish a direct database connection using Convex’s API or database credentials.

Step 6: Test the Import Script

Before performing a full-scale import, run your script with a small subset of data to test the connection and data insertion. Check the Convex database to ensure the data has been imported correctly, maintaining data integrity and structure.

Step 7: Execute Full Data Transfer

Once you have confirmed that the test import was successful, run the script to import the full dataset from Clockify into Convex. Monitor the process for any errors and verify the integrity of the data once the import is complete. Make adjustments to the script if necessary and re-run until all data is successfully transferred.