First, ensure you have a working k6 setup. Write a k6 script to execute load tests and use JavaScript's built-in `console.log()` to print the data you want to capture. This data will be extracted from the k6 output after the test execution. Ensure your script collects the necessary metrics or custom data points during the test run.

Run your k6 test using the command `k6 run script.js > k6_output.txt`. This command will execute your test and redirect the output to a file named `k6_output.txt`. The file will contain all the logs and data printed by your k6 script, which you will later parse and process.

Use a script in a language like Python to parse the `k6_output.txt` file. The script should read the file, extract the relevant data you logged during the test, and store it in a structured format like JSON. This step involves identifying the data patterns in the k6 output and writing regular expressions or string manipulations to extract the necessary information.

Go to the Google Cloud Console and create a new Firestore database if you haven't already. Choose between native mode or Datastore mode based on your requirements. Set up Firestore rules to allow reads and writes during testing. Ensure you have the Firebase Admin SDK installed in your environment for programmatically accessing Firestore.

Install the Firebase Admin SDK in your project using `npm install firebase-admin` if you're using Node.js, or the equivalent in your chosen language. Initialize the Firestore client in your script by importing the Admin SDK and using your Firebase project credentials (typically a service account key JSON file) to authenticate and access Firestore.

In your Python, Node.js, or other language script, transform the parsed JSON data into a format suitable for Firestore. Use the Firestore client to iterate over your data and upload it to your Firestore database. Each data entry should be added as a document within a collection in Firestore. Handle any potential errors or exceptions during the upload process.

After the upload process, verify that the data has been correctly inserted into Firestore. You can use the Google Cloud Console to view your Firestore database and check if the documents and collections reflect the expected data. Additionally, you can write a simple script to read from Firestore and confirm the integrity and completeness of the data.

By following these steps, you can effectively move data from k6 cloud to Google Firestore without relying on third-party connectors or integrations.