Twitter Analytics Stack

### Social Media Monitoring with Airbyte

Extract recent tweets, hashtags, or user data from the Twitter API using Airbyte. Load the data into a warehouse and analyze trends, sentiments, or influencer activities.

You can use a tool like dbt for data transformation, and an orchestrator like Airflow or Dagster if needed.

How to get started:

- Check out the [README](https://github.com/airbytehq/quickstarts/tree/main) and the [Contribution instructions](https://github.com/airbytehq/quickstarts/blob/main/CONTRIBUTING.md) in this repo.
- Check one of the [existing quickstarts](https://github.com/airbytehq/quickstarts#list-of-available-quickstarts) and observe their structure.
- (Optional, but highly recommended) Implement one of the quickstarts by following the instructions in their README. I recommend starting with [E-commerce analytics in BigQuery](https://github.com/airbytehq/quickstarts/tree/main/ecommerce_analytics_bigquery)