How to load data from Looker to MongoDB

Learn how to use Airbyte to synchronize your Looker data into MongoDB within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Looker connector in Airbyte

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

Set up MongoDB for your extracted Looker 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 Looker to MongoDB 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 Looker

In Looker, navigate to the dashboard or report you want to export. Use the export feature to download the data in a suitable format, such as CSV, Excel, or JSON. Ensure that the data is exported with all necessary fields and filters applied to meet your requirements.

Set up a local development environment with the necessary tools, such as Python or another programming language that supports data manipulation and MongoDB operations. Make sure you have MongoDB installed locally or have access to a MongoDB server where you can upload the data.

Write a script to read the exported data file. Depending on the format (e.g., CSV, JSON), use appropriate libraries to parse the data. For CSV files, you might use Python's `csv` module, and for JSON files, the `json` module. Ensure the script correctly handles data types and any special characters.

Transform the parsed data into a format suitable for MongoDB. This often involves converting data into dictionaries or objects, ensuring that the data structure matches how you plan to store it in MongoDB. Pay attention to nested structures if your data is hierarchical.

Establish a connection to your MongoDB instance using a MongoDB client library, such as PyMongo for Python. Ensure you have the correct connection string, which includes the host, port, and authentication details if necessary. Test the connection to confirm access to the MongoDB server.

Use your script to insert the transformed data into a MongoDB collection. You can use the `insert_one()` or `insert_many()` methods for inserting data, depending on the size of your dataset. Handle any errors or exceptions that may occur during the insertion process, such as duplicate key errors or validation errors.

After insertion, verify that the data in MongoDB matches the original data from Looker. You can perform queries to check the data counts and sample values to ensure accuracy. Additionally, set up logging within your script to record the success or failure of each operation, which can be useful for troubleshooting.
By following these steps, you can transfer data from Looker to MongoDB without relying on third-party connectors or integrations, ensuring a direct and controlled data workflow.