Before extracting data, familiarize yourself with Gong's API documentation. Gong typically offers RESTful APIs that allow you to programmatically access data. Identify the specific endpoints that provide the data you need, such as call records, transcripts, or analytics.

Log in to your AWS Management Console and navigate to S3. Create a new bucket where you will store your data exported from Gong. Ensure you configure the bucket with appropriate permissions to allow data uploads, and decide on a naming convention for your files.

Write a script in a programming language like Python to interact with Gong's API. Use libraries such as `requests` to send HTTP GET requests to the necessary API endpoints. Ensure your script handles authentication, which might involve API keys or OAuth tokens, as specified by Gong.

Once you have retrieved data from Gong, parse the JSON responses into a structured format like CSV or JSON lines. This step is crucial for ensuring the data is organized and ready for storage in S3. Use Python libraries like `pandas` for CSV formatting or `json` for handling JSON data.

To upload data to S3, install the AWS SDK for your chosen programming language. For Python, this is Boto3. You can install it using pip:
```bash
pip install boto3
```

Using the AWS SDK, write a function within your script to upload the parsed data to your S3 bucket. This function should specify the bucket name, desired file name, and data content. Example using Boto3:
```python
import boto3
s3_client = boto3.client('s3')
def upload_to_s3(file_name, bucket, object_name=None):
if object_name is None:
object_name = file_name
try:
response = s3_client.upload_file(file_name, bucket, object_name)
except Exception as e:
print(f"Error uploading to S3: {e}")
```

To ensure data is regularly updated, automate your script using a task scheduler. For Linux systems, use cron jobs, and for Windows, use Task Scheduler. Schedule the script to run at desired intervals, such as daily or weekly, depending on your data freshness requirements.
By following these steps, you can successfully move data from Gong to S3 without relying on third-party connectors or integrations.