How to load data from Freshcaller to S3 Glue

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

Try Airbyte Cloud Manual method (the hard way)

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.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Freshcaller 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 Freshcaller 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 Freshcaller 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.

Try Airbyte Cloud Manual method (the hard way)

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

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.

Try Airbyte Cloud Manual method (the hard way)

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Raman Singh

Tech Lead at Symend

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

Learn more

Chase Zieman

Chief Data Officer

“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.”

Learn more

Rupak Patel

Operational Intelligence Manager

"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."

Learn more

How to Sync to Manually

Step 1: Extract Data from Freshcaller using API

To begin, you'll need to extract data from Freshcaller. Freshcaller provides API endpoints to access your call data. First, authenticate with the Freshcaller API using your API key. Then, make HTTP GET requests to the relevant endpoints to retrieve the data. You may need to handle pagination if the data set is large.

Step 2: Format Data for AWS S3

Once you've extracted the data, format it into a structure suitable for storage. Common formats include JSON, CSV, or Parquet. This step involves parsing the API response and converting it into the chosen format. Ensure that the data is properly structured with the necessary fields.

Step 3: Install AWS CLI

If not already installed, download and install the AWS Command Line Interface (CLI) on your local machine or server where you performed the data extraction. The AWS CLI will allow you to interact with AWS services directly from the command line, which is essential for uploading files to S3.

Step 4: Configure AWS CLI

Configure the AWS CLI with your credentials by running `aws configure`. You will need your AWS Access Key ID, Secret Access Key, region, and output format. This configuration allows you to execute AWS commands that require authentication.

Step 5: Upload Data to AWS S3

Use the AWS CLI to upload the formatted data files to an S3 bucket. The command `aws s3 cp /path/to/your/file s3://your-bucket-name/your-file-path` uploads your local file to the specified S3 bucket. Ensure your bucket policy allows the upload operation.

Step 6: Set Up AWS Glue Crawler

In the AWS Management Console, navigate to AWS Glue and create a new crawler. The crawler will catalog the data in your S3 bucket. Configure the crawler to point to the S3 location where your data resides, set the IAM role with necessary permissions, and specify the database where the metadata should be stored.

Step 7: Run the AWS Glue Crawler and Query Data

Execute the crawler to populate the AWS Glue Data Catalog with metadata about your S3 data. Once the crawler has finished, your data is ready to be queried using AWS Glue or Amazon Athena. Athena allows you to run SQL queries on the data directly from S3, providing an easy way to analyze and transform your data as needed.

By following these steps, you can efficiently move data from Freshcaller to AWS S3 Glue using native APIs and AWS services without relying on third-party integrations.