Ensure your data is stored in a Google Cloud Storage bucket. You’ll need to have access to this bucket, so make sure your Google Cloud account has the necessary permissions to read from it. You will also need to generate a service account key in JSON format to authorize programmatic access.

Install the Google Cloud SDK on your local machine or server. This will allow you to use `gsutil`, the command-line tool for interacting with GCS. Follow the installation instructions available on the [Google Cloud SDK installation page](https://cloud.google.com/sdk/docs/install).

Use `gsutil` to download the data from your GCS bucket to your local machine or the server where ClickHouse is installed. Execute a command like:
```bash
gsutil cp gs://your-bucket-name/your-file.csv /local/path/to/store/
```
Replace `your-bucket-name` and `your-file.csv` with your actual bucket name and file name.

Ensure ClickHouse is installed and running on your machine. Create a database and table in ClickHouse that matches the schema of your data. You can do this using the ClickHouse client with a command like:
```sql
CREATE DATABASE IF NOT EXISTS your_database;
CREATE TABLE IF NOT EXISTS your_database.your_table (
column1 DataType,
column2 DataType,
...
) ENGINE = MergeTree()
ORDER BY (column1);
```
Replace `your_database`, `your_table`, and the column definitions with your actual database, table, and schema.

Ensure the data file you downloaded is in a format compatible with ClickHouse, such as CSV or TSV. Make any necessary transformations or cleaning using tools like `awk`, `sed`, or Python scripts, ensuring that the data types and delimiters match those expected by your ClickHouse table schema.

Use the ClickHouse client to import the data from your local file into your ClickHouse table. Run a command similar to:
```bash
clickhouse-client --query="INSERT INTO your_database.your_table FORMAT CSV" < /local/path/to/store/your-file.csv
```
Adjust the command to match your database and file format if necessary.

Once the data is loaded, run some queries in ClickHouse to verify that the data transfer was successful and accurate. For example:
```sql
SELECT COUNT(*) FROM your_database.your_table;
```
Check the results to ensure they match your expectations regarding row count and data integrity.
By following these steps, you can move data from Google Cloud Storage to ClickHouse without relying on third-party connectors or integrations.