How to load data from Freshdesk to S3 Glue

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

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Set up a Freshdesk 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 Freshdesk 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 Freshdesk 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: Set Up Freshdesk API Access

To extract data from Freshdesk, you need to use their RESTful API. First, log into your Freshdesk account and navigate to the API settings. Ensure API access is enabled and note down your API key, which will be used for authentication in the subsequent steps.

Step 2: Prepare Amazon S3 Bucket

Go to the AWS Management Console and create an S3 bucket where you will store the Freshdesk data. Note the bucket name and region. Ensure that the bucket policy allows the necessary permissions for data upload.

Step 3: Create AWS IAM Role with Required Permissions

Create an IAM role in AWS with permissions to access both S3 and AWS Glue. Attach the policies `AmazonS3FullAccess` and `AWSGlueServiceRole`. This role will be used by AWS Glue to interact with your S3 bucket.

Step 4: Write Python Script for Data Extraction

Develop a Python script that uses the Freshdesk API to fetch the required data. Use the `requests` library to make API calls. Parse the JSON responses and write the data to a CSV or JSON format suitable for uploading to S3. Ensure the script handles pagination if the data set is large.

Step 5: Upload Data to Amazon S3

Incorporate boto3, the AWS SDK for Python, in your script to upload the formatted data to your S3 bucket. Use the `put_object` method to place the data file into your designated bucket. Ensure the file is named appropriately with a timestamp if necessary.

Step 6: Set Up AWS Glue Crawler

In the AWS Glue Console, create a new Glue Crawler. Configure it to crawl the data in your S3 bucket and specify the appropriate IAM role with the permissions created earlier. This crawler will catalog your data and create tables in the Glue Data Catalog for future querying.

Step 7: Run the AWS Glue Crawler and Verify Data

Execute the Glue Crawler to populate the Glue Data Catalog with metadata about your Freshdesk data. Once the crawler completes, navigate to the Glue Data Catalog to verify that the tables have been created correctly. Use AWS Athena to query the data to ensure it has been transferred and structured as expected.