This page provides you with instructions on how to extract data from Zapier and load it into Amazon S3. (If this manual process sounds onerous, check out Stitch, which can do all the heavy lifting for you in just a few clicks.)
What is Zapier?
Zapier lets non-programmers integrate multiple applications and services to automate repetitive tasks. It uses a graphical web interface – no coding involved.
What is S3?
Amazon S3 (Simple Storage Service) provides cloud-based object storage through a web service interface. You can use S3 to store and retrieve any amount of data, at any time, from anywhere on the web. S3 objects, which may be structured in any way, are stored in resources called buckets.
Getting data out of Zapier
Zapier exposes data through webhooks. You can use Zapier webhooks to push data to a defined HTTP endpoint as events happen. Zapier supports form-encoded, XML, and JSON webhooks.
It's up to you to parse the objects you catch via your webhooks and decide how to load them into your data warehouse.
Loading data into Amazon S3
To upload files you must first create an S3 bucket. Once you have a bucket you can add an object to it. An object can be any kind of file: a text file, data file, photo, or anything else. You can optionally compress or encrypt the files before you load them.
Keeping Zapier data up to date
Once you've set up the webhooks you want and have begun collecting data, you can relax – as long as everything continues to work correctly. You'll have to keep an eye out for any changes to Zapier’s webhooks implementation.
Other data warehouse options
S3 is great, but sometimes you want a more structured repository that can serve as a basis for BI reports and data analytics — in short, a data warehouse. Some folks choose to go with Amazon Redshift, Google BigQuery, PostgreSQL, Snowflake, Microsoft Azure SQL Data Warehouse, or Panoply, which are RDBMSes that use similar SQL syntax. If you're interested in seeing the relevant steps for loading data into one of these platforms, check out To Redshift, To BigQuery, To Postgres, To Snowflake, To Azure SQL Data Warehouse, and To Panoply.
Easier and faster alternatives
If all this sounds a bit overwhelming, don’t be alarmed. If you have all the skills necessary to go through this process, chances are building and maintaining a script like this isn’t a very high-leverage use of your time.
Thankfully, products like Stitch were built to move data from Zapier to Amazon S3 automatically. With just a few clicks, Stitch starts extracting your Zapier data, structuring it in a way that's optimized for analysis, and inserting that data into your Amazon S3 data warehouse.