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Get the Report →How to use SQLAlchemy ORM to access Amazon Marketplace Data in Python
Create Python applications and scripts that use SQLAlchemy Object-Relational Mappings of Amazon Marketplace data.
The rich ecosystem of Python modules lets you get to work quickly and integrate your systems effectively. With the CData Python Connector for Amazon Marketplace and the SQLAlchemy toolkit, you can build Amazon Marketplace-connected Python applications and scripts. This article shows how to use SQLAlchemy to connect to Amazon Marketplace data to query Amazon Marketplace data.
With built-in optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Amazon Marketplace data in Python. When you issue complex SQL queries from Amazon Marketplace, the CData Connector pushes supported SQL operations, like filters and aggregations, directly to Amazon Marketplace and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Connecting to Amazon Marketplace Data
Connecting to Amazon Marketplace data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.
To connect to the Amazon Marketplace Webservice (MWS), AWSAccessKeyId, MWSAuthToken, AWSSecretKey and SellerId are required. You can optionally set the Marketplace property. For more information on obtaining values for these properties, refer to the Help documentation.
Follow the procedure below to install SQLAlchemy and start accessing Amazon Marketplace through Python objects.
Install Required Modules
Use the pip utility to install the SQLAlchemy toolkit and SQLAlchemy ORM package:
pip install sqlalchemy
pip install sqlalchemy.orm
Be sure to import the appropriate modules:
from sqlalchemy import create_engine, String, Column
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
Model Amazon Marketplace Data in Python
You can now connect with a connection string. Use the create_engine function to create an Engine for working with Amazon Marketplace data.
NOTE: Users should URL encode the any connection string properties that include special characters. For more information, refer to the SQL Alchemy documentation.
engine = create_engine("amazonmarketplace:///?AWS Access Key Id=myAWSAccessKeyId&AWS Secret Key=myAWSSecretKey&MWS Auth Token=myMWSAuthToken&Seller Id=mySellerId&Marketplace=United States")
Declare a Mapping Class for Amazon Marketplace Data
After establishing the connection, declare a mapping class for the table you wish to model in the ORM (in this article, we will model the Orders table). Use the sqlalchemy.ext.declarative.declarative_base function and create a new class with some or all of the fields (columns) defined.
base = declarative_base()
class Orders(base):
__tablename__ = "Orders"
AmazonOrderId = Column(String,primary_key=True)
OrderStatus = Column(String)
...
Query Amazon Marketplace Data
With the mapping class prepared, you can use a session object to query the data source. After binding the Engine to the session, provide the mapping class to the session query method.
Using the query Method
engine = create_engine("amazonmarketplace:///?AWS Access Key Id=myAWSAccessKeyId&AWS Secret Key=myAWSSecretKey&MWS Auth Token=myMWSAuthToken&Seller Id=mySellerId&Marketplace=United States")
factory = sessionmaker(bind=engine)
session = factory()
for instance in session.query(Orders).filter_by(IsReplacementOrder="True"):
print("AmazonOrderId: ", instance.AmazonOrderId)
print("OrderStatus: ", instance.OrderStatus)
print("---------")
Alternatively, you can use the execute method with the appropriate table object. The code below works with an active session.
Using the execute Method
Orders_table = Orders.metadata.tables["Orders"]
for instance in session.execute(Orders_table.select().where(Orders_table.c.IsReplacementOrder == "True")):
print("AmazonOrderId: ", instance.AmazonOrderId)
print("OrderStatus: ", instance.OrderStatus)
print("---------")
For examples of more complex querying, including JOINs, aggregations, limits, and more, refer to the Help documentation for the extension.
Free Trial & More Information
Download a free, 30-day trial of the CData Python Connector for Amazon Marketplace to start building Python apps and scripts with connectivity to Amazon Marketplace data. Reach out to our Support Team if you have any questions.