How to load data from xkcd to S3 Glue

Learn how to use Airbyte to synchronize your xkcd data into S3 Glue within minutes.

Try Airbyte Cloud Manual method (the hard way)

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Set up a xkcd connector in Airbyte

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

Set up S3 Glue for your extracted xkcd 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 xkcd to S3 Glue 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: Access xkcd Data

Start by fetching the data from xkcd. xkcd provides a JSON endpoint for each comic. You can fetch the latest comic using a simple HTTP GET request to `https://xkcd.com/info.0.json`, or for specific comics, use `https://xkcd.com/[comic_id]/info.0.json`. Use Python's `requests` library to automate the fetching of these JSON objects.

Step 2: Set Up an AWS S3 Bucket

Log in to your AWS Management Console and navigate to Amazon S3. Create a new bucket where you will store the xkcd JSON data. Ensure that the bucket name is unique and complies with AWS naming conventions. Configure the bucket permissions as needed, but make sure it's accessible for data writing.

Step 3: Install and Configure AWS CLI

Install the AWS Command Line Interface (CLI) on your local machine if you haven't already. Configure it with your AWS credentials using the command `aws configure`. Enter your AWS Access Key, Secret Key, default region, and output format. This setup allows you to interact with AWS services programmatically.

Step 4: Write a Python Script to Fetch and Upload Data

Develop a Python script that automates the process of fetching xkcd data and uploading it to S3. Use the `requests` library to get the JSON data and `boto3` to handle the S3 upload. The script should:
- Fetch data from xkcd.
- Save the JSON data to a local file.
- Use `boto3` to upload the file to your S3 bucket.

Step 5: Create an AWS Glue Crawler

In the AWS Glue console, create a new Glue Crawler. This crawler will catalog the data stored in your S3 bucket. During setup, specify the S3 path where your JSON files are stored. Configure the crawler to update the Glue Data Catalog with the structure of your data.

Step 6: Run the Glue Crawler

Execute the Glue Crawler you created. This process will scan the S3 data and automatically infer the schema, storing this information in the Glue Data Catalog. Verify that the crawler runs successfully and that it creates a table in your Glue Data Catalog.

Step 7: Create and Run an AWS Glue ETL Job

With your data cataloged, create an AWS Glue ETL (Extract, Transform, Load) job. This job can transform the data if needed and load it into another destination or further process it within AWS. Configure the job with the source as your Glue table and specify any transformations or destinations. Run the job to process your xkcd data as required.

By following these steps, you will successfully move data from xkcd to AWS S3 and catalog it using AWS Glue, without relying on third-party connectors or integrations.