How to load data from Exchange Rates Api to Postgres destination

First, ensure you have a PostgreSQL database set up and running. Create a table that will store the exchange rates data. For example, you might create a table named `exchange_rates` with columns for `currency`, `rate`, and `date`.

```sql
CREATE TABLE exchange_rates (
id SERIAL PRIMARY KEY,
currency VARCHAR(3),
rate DECIMAL,
date DATE
);
```

You'll need Python installed on your system. Install the `requests` library for API calls and `psycopg2` for PostgreSQL interaction.

```bash
pip install requests psycopg2
```

Write a Python script to retrieve exchange rates data using the `requests` library. Replace `YOUR_API_KEY` and `API_URL` with your actual API credentials and endpoint.

```python
import requests

response = requests.get('API_URL?access_key=YOUR_API_KEY')
data = response.json()
```

Extract and prepare the data for insertion into PostgreSQL. Ensure the data structure matches your database schema.

```python
exchange_rates = []
for currency, rate in data['rates'].items():
exchange_rates.append((currency, rate, data['date']))
```

Use `psycopg2` to establish a connection to your PostgreSQL database. Replace the placeholders with your actual database credentials.

```python
import psycopg2

conn = psycopg2.connect(
dbname='your_dbname',
user='your_username',
password='your_password',
host='localhost',
port='5432'
)
cursor = conn.cursor()
```

Insert the processed data into your PostgreSQL table using an `INSERT` statement. Use a loop to insert each record individually or use `executemany` for batch insertion.

```python
insert_query = "INSERT INTO exchange_rates (currency, rate, date) VALUES (%s, %s, %s)"
cursor.executemany(insert_query, exchange_rates)
conn.commit()
```

Once the data is successfully inserted, close the database connection to free up resources.

```python
cursor.close()
conn.close()
```

By following these steps, you'll be able to move data from an Exchange Rates API to a PostgreSQL database without relying on third-party connectors or integrations. Make sure to handle errors and exceptions in your code to ensure robustness and reliability.