How to load data from GitHub to Convex

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a GitHub 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 GitHub 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 GitHub 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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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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How to Sync to Manually

Step 1: Clone GitHub Repository Locally

Begin by cloning the GitHub repository that contains the data you wish to transfer. Use the command `git clone ` in your terminal. This will download all the files from the repository to your local machine, making it easier to access and manipulate the data.

Once the repository is cloned, navigate to the directory where the data is stored. Organize the files as needed and ensure they are in the correct format for importing into Convex. This may include cleaning the data, converting file formats, or renaming files to conform to Convex's requirements.

Access your Convex account and set up the necessary environment for data storage. This involves creating a new dataset or project where the data will reside. Ensure that you have the appropriate permissions and access configurations in place to upload data.

Create a script in a programming language like Python or JavaScript to automate the data transfer process. This script should read the data files from your local machine and use Convex's API to upload them. Make sure to include error handling to manage any potential upload issues.

In your script, implement authentication with the Convex API. This usually involves obtaining an API key from Convex and including it in your requests to ensure that you have the necessary permissions to upload data. Follow Convex's documentation for specific authentication methods.

Run your script to begin transferring data from your local machine to Convex. Monitor the script's progress and check for any errors or interruptions. If the dataset is large, consider implementing a progress tracker to keep track of upload status.

After the upload is complete, log into your Convex account and verify that the data has been transferred correctly. Check for completeness, accuracy, and any discrepancies. If issues are found, debug the script or re-upload the affected files as needed.

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