First, familiarize yourself with the Whisky Hunter website and identify the specific data you need to extract. Check if the site provides a public API or if you will need to scrape the data from the web pages.

Use your browser’s Developer Tools (usually accessible by pressing F12) to inspect the elements on the Whisky Hunter page. Identify the HTML structure and locate the data points you want to extract. This could be within tables, lists, or specific tags.

Create a script using a programming language like Python. Use libraries such as `requests` to download the web page content and `BeautifulSoup` from `bs4` to parse the HTML. This script should navigate the HTML structure to extract the desired data.

```python
import requests
from bs4 import BeautifulSoup

url = 'http://whiskyhunter.net/samplepage' # Replace with the actual URL
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

# Example: Extracting data from a table
data = []
table = soup.find('table')
for row in table.find_all('tr')[1:]:
columns = row.find_all('td')
data.append({
'Column1': columns[0].text.strip(),
'Column2': columns[1].text.strip(),
})
```

Once the data is extracted, transform it into a JSON-compatible format. This involves organizing the data into dictionaries and lists that reflect the structure you wish to save.

```python
import json

json_data = json.dumps(data, indent=4)
```

Create a new JSON file on your local system and write the transformed data into it. Ensure you specify the correct encoding to handle special characters.

```python
with open('whisky_data.json', 'w', encoding='utf-8') as file:
file.write(json_data)
```

After writing to the JSON file, open it to verify the data’s accuracy and integrity. Ensure that all necessary data points have been captured correctly without any loss or unwanted characters.

If you need to update the JSON file regularly, automate the script using a task scheduler like `cron` for Unix-based systems or Task Scheduler for Windows. This will enable periodic data extraction and updating.

```bash
# Example of a cron job running every day at midnight
0 0 * * * /usr/bin/python3 /path/to/your_script.py
```

Following these steps will allow you to successfully move data from Whisky Hunter to a local JSON file without relying on third-party connectors or integrations.