How to load data from News API to Firebolt

Learn how to use Airbyte to synchronize your News API data into Firebolt within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a News API connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Firebolt for your extracted News API data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the News API to Firebolt in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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How to Sync to Manually

Step 1: Set Up Your Environment

Ensure you have a development environment set up with necessary tools like Python or any preferred programming language. This will be used to interact with both the News API and Firebolt API directly. Install necessary libraries for HTTP requests, such as `requests` for Python.

Sign up for an account on News API to obtain your API key. This key will authenticate your requests to access data from News API. Similarly, ensure you have access credentials (username, password, and endpoint) for Firebolt to enable database interactions.

Use HTTP requests to interact with the News API. Construct your API request URL with necessary parameters such as query keywords, language, and date ranges. Use the API key in the request header to authenticate. Parse the JSON response and extract the data you need.

```python
import requests

url = 'https://newsapi.org/v2/everything'
params = {
'q': 'technology', # Example query
'apiKey': 'YOUR_NEWSAPI_KEY'
}
response = requests.get(url, params=params)
data = response.json()
articles = data['articles']
```

Once the data is retrieved, transform it into a suitable format for Firebolt. You might need to clean, filter, or restructure the data. For instance, convert timestamps to a format compatible with Firebolt or flatten nested JSON objects.

Log in to your Firebolt account and set up the necessary database and table structures to store your data. Define appropriate data types and structures that match the transformed data from News API.

```sql
CREATE TABLE news_articles (
title STRING,
description STRING,
content STRING,
published_at TIMESTAMP
);
```

Write a script to insert the transformed data into the Firebolt database. Use Firebolt's SQL interface to execute `INSERT` statements. You can use parameterized queries to efficiently and securely insert multiple records.

```python
import psycopg2

conn = psycopg2.connect("dbname='your_db' user='your_user' host='your_firebolt_endpoint' password='your_password'")
cursor = conn.cursor()
insert_query = """
INSERT INTO news_articles (title, description, content, published_at)
VALUES (%s, %s, %s, %s);
"""
for article in articles:
cursor.execute(insert_query, (article['title'], article['description'], article['content'], article['publishedAt']))
conn.commit()
cursor.close()
conn.close()
```

After inserting the data, run queries in Firebolt to verify that the data has been correctly inserted and is accessible as expected. Set up monitoring for the data transfer process to handle any errors or inconsistencies, ensuring data integrity and continuity.

By following these steps, you will be able to move data from News API to Firebolt, managing the process manually without relying on third-party connectors or integrations.