Amazon SP-API to Snowflake – Made Easy
Replicate Amazon Selling Partner API (SP-API) to Snowflake in minute
Are you looking for a quicker way to transfer data from Amazon SP-API to Snowflake? Here is an easy solution for this data migration process using an ETL tool: Daton.
E-commerce is a competitive space as everyone is embarking on a new journey to start selling online. They can sell their products online in any eCommerce platform or an established marketplace. Marketplaces like Amazon simplify the selling process by providing the entire infrastructure needed for sellers. But online selling requires other tools like payment, accounting or inventory management systems.
Hence, they need to consolidate and tally the data from Amazon and other tools for a comprehensive picture. The data insights will help them track problems, trace any issues back through the workflow to the source, and optimize the operation of various teams.
Why integrate Amazon SP-API to Snowflake?
Amazon sellers are heavily dependent on analysts for daily reports from Amazon. A channel analyst usually uses reports from Amazon to build channel performance reports for Team Managers. Relying on manual reporting leads to an underperforming channel. The more time people spend on enhancing business performance, the more chance they will improve their company’s performance. Manual reporting leaves little time for strategizing on improving business performance. Amazon recognizes this problem and has come up with a way for businesses to get their data access easily. Amazon SP API offers a set of APIs that allow developers to extract data from Amazon easily. This will enable them to submit reports on behalf of the seller by leveraging code.
For Amazon sellers,
Profits/Losses = (sales data from seller central – advertising expenses incurred in Amazon Ads).
To perform the above calculation, sellers need Amazon Advertising Reports and sales data from Amazon Seller Central. Then the data should be processed in excel to obtain the profit. For global sellers, analysts manually build reports every day on every channel for each country. The impact of manual work is that analysis infrequently happens, limiting how quickly sellers can respond with improved pricing, discounts, stopping campaigns that are not working, and others. Analysts can automate critical reporting tasks and free up their time for in-depth data analysis by automating data extraction from Amazon SP-API to Snowflake. Insights from analysts enable decision-makers to evaluate the impact of their decision but also helps them in taking better decisions.
Amazon SP-API Overview
Amazon Selling Partner API (SP-API) is the latest version of the Amazon Marketplace Web Service (MWS). The SP API is a REST-based system to programmatically access data on listings, orders, payments and reports. It will allow sellers to automate data access to increase selling efficiency, obtain insights, automate manual processing, optimize ad spend and simplify inventory management decisions. SP API will also help them target special offers and promotions when customers are more likely to purchase. It has JSON-based REST API design standards, improved security and a sandbox for testing. Amazon Selling Partner developers will find it easier to integrate the APIs and extract Amazon store data directly. If you developed apps in-house for your Amazon business, you need to migrate from Amazon MWS. The Amazon SP API can be broadly classified into:
- Feeds Api
- Reports API
- Catalog API
- Product Pricing API
- Authorization API
The Snowflake platform enables users to have a petabyte database and an infinite computation scale without database management. You can only extract data from Snowflake through SQL query operations. Snowflake’s cloud data platform breaks down barriers that prevent organizations of various sizes from producing actual value from their data. Thousands of users leverage Snowflake to advance their companies beyond their ability by drawing all their relevant insights from all data generated by the business. Snowflake gears up the enterprises with a single, integrated platform that is the only cloud-built data warehouse. It is instant, secure and has controlled access to their entire data network. A core architecture also exists that facilitates various kinds of data workloads, including a framework to build modern data applications. Snowflake manages all aspects of data storage: organization, metadata, structure, compression and statistics.
How to replicate Amazon SP-API to Snowflake?
There are two major ways in which you can transfer data from Amazon Selling Partner API (SP-API) to Snowflake.
Build Your Own data pipeline
Building an in-house data pipeline needs a lot of experience, time and manpower with higher chances of errors. You need to extract data using Amazon Selling Partner API (SP-API) APIs & then connect it properly with the Snowflake data warehouse.
Use Daton to integrate Amazon Selling Partner API (SP-API) and Snowflake
Using Daton to integrate Amazon Selling Partner API (SP-API) & Snowflake is the fastest & easiest way to save your time and efforts. Leveraging a cloud data pipeline like Daton simplifies and accelerates the time to build automated reporting to a great extent.
Configuring data integration on Daton only takes a few clicks. Analysts do not have to write any code or manage any infrastructure, yet they can get access to their Amazon Selling Partner API (SP-API) ads data in a few hours. Daton’s simple and easy to use interface enables analysts and developers to use UI elements to configure data replication from Amazon Selling Partner API (SP-API) data into Snowflake.
Daton takes care of:
- Rate limits,
- Table creation, deletion & reloads
- Refreshing access tokens,
- Historical data load,
- Incremental data load,
and many more important features to help analysts focus on analysis rather than worry about the data replication process.
Steps to Integrate Amazon Selling Partner API (SP-API) with Daton
- Sign in to Daton
- Select Amazon SP-API from the Integrations page
- Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later
- You will be redirected to Amazon Selling Partner API (SP-API) login for authorizing Daton to extract data periodically
- Post successful authentication, you will be prompted to choose from the list of available Amazon Selling Partner API (SP-API) accounts
- Select required tables from the available list of tables
- Then select all required fields for each table
- Submit the integration
Here are more reasons to explore Daton for Amazon Selling Partner API (SP-API) to Snowflake Integration.
- Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. There is no infrastructure to manage or no code to write.
- Faster Integration of Amazon Selling Partner API (SP-API) to Snowflake– Amazon Selling Partner API (SP-API) to Snowflake is one of the integrations Daton can handle very fast and seamlessly. By following few steps, you can easily connect Amazon Selling Partner API (SP-API) to snowflake.
- Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus instead of analysis and insights!
- Robust Scheduling Options: allows you to schedule jobs based on their requirements using a simple configuration step.
- Enterprise-grade encryption gives your peace of mind.
- Support for 100+ data sources – In addition to Amazon Selling Partner API (SP-API), Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms and much more. Daton will ensure that you have a way to bring any data to Snowflake and generate relevant insights.
- You get an enterprise-grade data pipeline at an unbeatable price to help every business become data-driven. Get started with a single integration today for just $10 and scale up as your demands increase.
- Support for all major cloud data warehouses, including Snowflake, Google Bigquery, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL and more.
- Flexible loading options allow you to optimize data loading behaviour to maximize storage utilization and ease of querying.