First, you need to access the Pipedrive API to fetch data. Log into your Pipedrive account and navigate to the settings. Under the "API" section, you will find your API token. This token is essential for authenticating your API requests.

Set up a local development environment where you can write and execute scripts. Install Node.js, as it provides convenient packages for handling HTTP requests and MongoDB operations. Ensure you have a code editor like Visual Studio Code or Sublime Text.

Use Node.js to create a script that makes HTTP requests to the Pipedrive API. Install the `axios` package to handle HTTP requests efficiently. Use the API token to authenticate and fetch the required data (such as deals, contacts, or organizations). Here's a basic example:
```javascript
const axios = require('axios');

async function fetchData() {
const response = await axios.get('https://api.pipedrive.com/v1/deals?api_token=YOUR_API_TOKEN');
return response.data.data;
}
```

Once you have fetched the data, process and transform it as needed to fit the schema of your MongoDB database. This may involve renaming fields, changing data types, or filtering out unnecessary information. You can use JavaScript to iterate over the fetched data and apply the necessary transformations.

If you haven’t already, install MongoDB on your local machine or server. Ensure that the MongoDB service is running. Create a new database and collection where you will store the Pipedrive data. You can use the MongoDB shell or a GUI tool like MongoDB Compass to set this up.

Use the `mongodb` Node.js package to insert the processed data into your MongoDB collection. Connect to your MongoDB instance and use the `insertMany` method to add the data. Here's a basic example:
```javascript
const { MongoClient } = require('mongodb');
const uri = 'mongodb://localhost:27017';
const client = new MongoClient(uri);

async function insertData(data) {
try {
await client.connect();
const database = client.db('pipedrive_data');
const collection = database.collection('deals');
await collection.insertMany(data);
console.log('Data inserted successfully');
} finally {
await client.close();
}
}
```

To keep the MongoDB database updated with the latest data from Pipedrive, consider automating the process. You can use a task scheduler like `cron` on Linux or Task Scheduler on Windows to run your script at regular intervals. Ensure that your script handles errors gracefully and logs any issues for troubleshooting.

By following these steps, you'll be able to move data from Pipedrive to MongoDB manually and efficiently without relying on third-party connectors or integrations.