How to load data from Alpha Vantage to MongoDB

Begin by setting up your development environment. You will need Python installed on your system, as it will be used to interact with the Alpha Vantage API and MongoDB. Ensure that you have the `requests` and `pymongo` libraries installed. You can install them using pip:
```bash
pip install requests pymongo
```

Sign up for a free Alpha Vantage account at [alphavantage.co](https://www.alphavantage.co/). Once registered, you'll receive an API key. This key will be used to authenticate your requests to the Alpha Vantage API.

Utilize Python's `requests` library to fetch data from Alpha Vantage. Use the API key obtained in the previous step to make a request to the desired endpoint (e.g., stock data). Here�s a basic example to fetch daily adjusted stock data:
```python
import requests
api_key = 'your_alpha_vantage_api_key'
symbol = 'IBM'
url = f'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&symbol={symbol}&apikey={api_key}'
response = requests.get(url)
data = response.json()
```

Once you have the data, process it to ensure it's in the correct format for MongoDB. This might involve parsing JSON data, handling missing values, and transforming the data structure to match your MongoDB schema:
```python
time_series_data = data.get('Time Series (Daily)', {})
# Transform data into a list of dictionaries
processed_data = []
for date, daily_data in time_series_data.items():
record = {
"date": date,
"open": daily_data["1. open"],
"high": daily_data["2. high"],
"low": daily_data["3. low"],
"close": daily_data["4. close"],
"adjusted_close": daily_data["5. adjusted close"],
"volume": daily_data["6. volume"]
}
processed_data.append(record)
```

Ensure MongoDB is installed and running on your local machine or accessible via a remote server. If it�s not installed, download it from [mongodb.com](https://www.mongodb.com/try/download/community) and follow the installation instructions. Start the MongoDB server by running:
```bash
mongod
```

Use the `pymongo` library to establish a connection to your MongoDB instance. Create a database and a collection where you will store the Alpha Vantage data:
```python
from pymongo import MongoClient
client = MongoClient('mongodb://localhost:27017/')
db = client['alpha_vantage_data']
collection = db['daily_adjusted']
```

With the MongoDB connection established and data processed, insert the data into the specified collection. Use the `insert_many` method to add all records at once:
```python
result = collection.insert_many(processed_data)
print(f'Data inserted with record ids {result.inserted_ids}')
```
By following these steps, you can effectively move data from Alpha Vantage to a MongoDB database without relying on third-party connectors or integrations.