Sign in to your Apify account. Navigate to the dataset that contains the data you wish to export. Ensure you have the necessary permissions to access and download the dataset.

Each dataset in Apify has a unique API endpoint. Find the API URL by navigating to the dataset page and selecting the "API" tab. Copy the URL that ends with `.json` or `.csv` depending on the format you prefer to initially retrieve the data.

Use the API URL to download the dataset in JSON format. This can be done by pasting the URL into a web browser or using a command-line tool like `curl`. For example:
```
curl -o dataset.json "https://api.apify.com/v2/datasets//items?format=json"
```
This command saves the dataset as `dataset.json` on your local machine.

Use a programming language like Python to parse the JSON data. Load the JSON file into your script using a library such as `json` in Python. This will allow you to manipulate the data and prepare it for CSV conversion.
```python
import json

with open('dataset.json', 'r') as file:
data = json.load(file)
```

Convert the JSON data into CSV format. Use a library like `csv` in Python to handle the conversion. Define the CSV headers based on the keys in your JSON data.
```python
import csv

csv_file = "output.csv"
csv_columns = data[0].keys()

with open(csv_file, 'w', newline='') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
writer.writeheader()
writer.writerows(data)
```

Execute your script to save the parsed and transformed data into a CSV file. Ensure the CSV file is saved in your desired directory and that it is named appropriately for easy identification.

Open the CSV file using a spreadsheet application or a text editor to verify that the data has been correctly exported and formatted. Check for any discrepancies or formatting issues and correct them as needed.

By following these steps, you can efficiently move data from an Apify dataset to a CSV file without relying on third-party connectors or integrations.