How to load data from Alpha Vantage to MySQL Destination
Learn how to use Airbyte to synchronize your Alpha Vantage data into MySQL Destination within minutes.


Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes



Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say

Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Chase Zieman

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Begin by signing up for a free account on the Alpha Vantage website. After registration, you will receive an API key via email, which you will use to authenticate your requests to Alpha Vantage's API.
Install Python on your local machine if you haven't already. You'll also need to install the `requests` library, which will help you make HTTP requests to the Alpha Vantage API. You can install it using pip:
```bash
pip install requests
```
Use the `requests` library in a Python script to fetch the desired data from Alpha Vantage. Below is a sample code snippet to get stock data:
```python
import requests
API_KEY = 'your_alpha_vantage_api_key'
SYMBOL = 'AAPL'
URL = f'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol={SYMBOL}&apikey={API_KEY}'
response = requests.get(URL)
data = response.json()
```
Once you've fetched the JSON data, parse it to extract the specific data points you need. For instance, you might want to extract the daily time series data:
```python
time_series = data.get('Time Series (Daily)', {})
prepared_data = [
(date, values['1. open'], values['2. high'], values['3. low'], values['4. close'], values['5. volume'])
for date, values in time_series.items()
]
```
Ensure that you have a MySQL server running and create a database and table to store the data. Here’s an example SQL command to create a table:
```sql
CREATE DATABASE stock_data;
USE stock_data;
CREATE TABLE daily_prices (
date DATE PRIMARY KEY,
open FLOAT,
high FLOAT,
low FLOAT,
close FLOAT,
volume BIGINT
);
```
Use Python’s `mysql-connector-python` library to connect to your MySQL database. Install the library using pip:
```bash
pip install mysql-connector-python
```
Then, establish a connection in your Python script:
```python
import mysql.connector
conn = mysql.connector.connect(
host='your_mysql_host',
user='your_username',
password='your_password',
database='stock_data'
)
cursor = conn.cursor()
```
Iterate over your prepared data and insert it into the MySQL table using SQL INSERT statements:
```python
insert_query = """
INSERT INTO daily_prices (date, open, high, low, close, volume)
VALUES (%s, %s, %s, %s, %s, %s)
ON DUPLICATE KEY UPDATE
open=VALUES(open), high=VALUES(high), low=VALUES(low), close=VALUES(close), volume=VALUES(volume);
"""
cursor.executemany(insert_query, prepared_data)
conn.commit()
cursor.close()
conn.close()
```
By following these steps, you can effectively move data from Alpha Vantage to a MySQL database without relying on third-party connectors or integrations.