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Amazon Seller Partner
Amazon's Selling Partner API (SP-API) provides programmatic access to seller data such as orders, inventory, pricing, and reports. Key APIs include:
Reports API: For generating and downloading structured reports.
Orders API: For retrieving order details.
Catalog Items API: For accessing product information.
MSSQL Database
MSSQL requires structured data with defined schemas. You must design tables that match the data extracted from SP-API.
Register as a Developer:
- Register as a developer in Amazon Seller Central.
- Obtain SP-API credentials (Client ID, Client Secret, Refresh Token).
Set Up IAM Roles:
Create an IAM role in AWS with permissions for SP-API (e.g., AmazonSPAPIAccess policy).
Generate API Tokens:
Use OAuth 2.0 flow to exchange your refresh token for an access token via Amazon's authentication endpoints.
Test API Access:
Use tools like Postman or cURL to test SP-API endpoints and ensure proper configuration.
Choose the Relevant API Endpoint:
Use endpoints like /orders/v0/orders for order details or the Reports API for bulk data.
Request Data:
Send GET requests to retrieve entities based on filters such as date range or status.
Download Reports (if applicable):
Use the Reports API to request a report, poll its status until it is ready, and download the file from the provided URL.
Save Data Locally:
Save extracted data in JSON or CSV format for easier transformation.
Parse JSON Data:
Use programming libraries like json in Python or System.Text.Json in .NET to parse JSON responses.
Define MSSQL Schema:
Design tables that correspond to the data structure of SP-API responses (e.g., primary keys for identifiers).
Normalize Data:
Flatten nested JSON objects into separate relational tables if necessary.
Handle Null Values:
Map missing properties as nullable columns in MSSQL.
Save Transformed Data:
Export transformed data into CSV files or prepare SQL INSERT statements directly.
Set Up MSSQL Database:
Create a database instance and define tables based on your schema design.
Bulk Insert for Large Datasets:
- Save transformed data into CSV files.
- Use MSSQL's BULK INSERT command or SQL Server Management Studio's Import Wizard.
Insert Programmatically for Small Datasets:
- Write scripts using Python (pyodbc) or .NET (SqlCommand) for row-by-row insertion.
- Use parameterized queries to prevent SQL injection.
Verify Data Integrity:
Check row counts and validate constraints after insertion.
- Compare row counts between SP-API source data and MSSQL tables.
- Verify primary keys, foreign keys, and constraints.
- Test application functionality using migrated data.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Amazon Selling Partner’s API (SP-API) is a much-improved iteration of Amazon Marketplace Web Service (Amazon MWS) APIs. This next generation suite offers increased automation functionality, with many new features including state-of-the-art JSON-based REST API design standards and 0Auth2.0 selling partner authorization using Login with Amazon. With this generation of updates, Amazon Selling Partners continues to deliver reliable programmatic access to essential Amazon features, in the same tradition their customers have come to expect for over 10 years.
Amazon Seller Partner's API provides access to a wide range of data related to Amazon seller accounts. The API allows developers to retrieve data related to orders, products, inventory, and pricing. Here are the categories of data that the API provides access to:
1. Orders: The API provides access to order details such as order ID, order status, shipping address, payment information, and order items.
2. Products: The API provides access to product details such as product ID, product title, product description, product images, and product variations.
3. Inventory: The API provides access to inventory details such as inventory levels, inventory status, and inventory updates.
4. Pricing: The API provides access to pricing details such as product prices, discounts, and promotions.
5. Fulfillment: The API provides access to fulfillment details such as shipment tracking information, shipping labels, and fulfillment status.
6. Reports: The API provides access to various reports such as sales reports, inventory reports, and financial reports.
Overall, the Amazon Seller Partner's API provides a comprehensive set of data that can help sellers manage their Amazon business more effectively.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
