How to load data from Amazon Seller Partner to Google Firestore

Learn how to use Airbyte to synchronize your Amazon Seller Partner data into Google Firestore within minutes.

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Set up a Amazon Seller Partner connector in Airbyte

Connect to Amazon Seller Partner or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Google Firestore for your extracted Amazon Seller Partner data

Select Google Firestore where you want to import data from your Amazon Seller Partner source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Amazon Seller Partner to Google Firestore 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.

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TL;DR

set up Amazon Seller Partner as a source connector (using Auth, or usually an API key)
set up Google Firestore as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Amazon Seller Partner

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.

What is Google Firestore

Google Firestore is a cloud-based NoSQL document database that allows developers to store, sync, and query data for their web, mobile, and IoT applications. It is designed to provide real-time updates and offline support, making it ideal for applications that require fast and responsive data access. Firestore offers a flexible data model, allowing developers to store data in collections and documents, and supports complex queries and transactions. It also integrates with other Google Cloud services, such as Cloud Functions and Cloud Storage, to provide a complete backend solution for building scalable and reliable applications.

Integrate Amazon Seller Partner with Google Firestore in minutes

Try for free now

Prerequisites

A Amazon Seller Partner account to transfer your customer data automatically from.
A Google Firestore account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Amazon Seller Partner and Google Firestore, for seamless data migration.

When using Airbyte to move data from Amazon Seller Partner to Google Firestore, it extracts data from Amazon Seller Partner using the source connector, converts it into a format Google Firestore can ingest using the provided schema, and then loads it into Google Firestore via the destination connector. This allows businesses to leverage their Amazon Seller Partner data for advanced analytics and insights within Google Firestore, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Amazon Seller Partner as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.

2. Click on the "Amazon Seller Partner" source connector and select "Create new connection."

3. Enter a name for your connection and click "Next."

4. Enter your Amazon Seller Partner credentials, including your Seller ID, MWS Auth Token, and Marketplace ID.

5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Amazon Seller Partner account.

6. Once the test is successful, click "Save" to save your connection.

7. You can now select your Amazon Seller Partner connection from the list of sources and configure your sync settings, including selecting the tables you want to sync and setting up any filters or transformations.

8. Once you have configured your sync settings, click "Save" to save your configuration.

9. You can now run your sync manually or schedule it to run automatically at regular intervals.

Step 2: Set up Google Firestore as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Google Firestore" destination connector and click on it.
4. You will be prompted to enter your Google Cloud Platform project ID and a service account key. Follow the instructions provided to obtain these credentials.
5. Once you have entered your credentials, click on the "Test" button to ensure that the connection is successful.
6. If the test is successful, click on the "Save" button to save your configuration.
7. You can now use the Google Firestore destination connector to transfer data from your source to your Google Firestore database.
8. To set up a data integration pipeline, navigate to the "Sources" tab and select the source connector you wish to use.
9. Follow the instructions provided to configure your source connector and select the Google Firestore destination connector as your destination.
10. Once you have configured your pipeline, click on the "Run" button to start transferring data from your source to your Google Firestore database.

Step 3: Set up a connection to sync your Amazon Seller Partner data to Google Firestore

Once you've successfully connected Amazon Seller Partner as a data source and Google Firestore as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Amazon Seller Partner from the dropdown list of your configured sources.
Select your destination: Choose Google Firestore from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Amazon Seller Partner objects you want to import data from towards Google Firestore. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Amazon Seller Partner to Google Firestore according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google Firestore data warehouse is always up-to-date with your Amazon Seller Partner data.

Use Cases to transfer your Amazon Seller Partner data to Google Firestore

Integrating data from Amazon Seller Partner to Google Firestore provides several benefits. Here are a few use cases:

Advanced Analytics: Google Firestore’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Amazon Seller Partner data, extracting insights that wouldn't be possible within Amazon Seller Partner alone.
Data Consolidation: If you're using multiple other sources along with Amazon Seller Partner, syncing to Google Firestore allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Amazon Seller Partner has limits on historical data. Syncing data to Google Firestore allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Google Firestore provides robust data security features. Syncing Amazon Seller Partner data to Google Firestore ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Google Firestore can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Amazon Seller Partner data.
Data Science and Machine Learning: By having Amazon Seller Partner data in Google Firestore, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Amazon Seller Partner provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Google Firestore, providing more advanced business intelligence options. If you have a Amazon Seller Partner table that needs to be converted to a Google Firestore table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Amazon Seller Partner account as an Airbyte data source connector.
Configure Google Firestore as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Amazon Seller Partner to Google Firestore after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

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Sync with Airbyte

Step 1: Set up Amazon Seller Partner as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.

2. Click on the "Amazon Seller Partner" source connector and select "Create new connection."

3. Enter a name for your connection and click "Next."

4. Enter your Amazon Seller Partner credentials, including your Seller ID, MWS Auth Token, and Marketplace ID.

5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Amazon Seller Partner account.

6. Once the test is successful, click "Save" to save your connection.

8. Once you have configured your sync settings, click "Save" to save your configuration.

9. You can now run your sync manually or schedule it to run automatically at regular intervals.

Step 2: Set up Google Firestore as a destination connector

Step 3: Set up a connection to sync your Amazon Seller Partner data to Google Firestore

Once you've successfully connected Amazon Seller Partner as a data source and Google Firestore as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Amazon Seller Partner from the dropdown list of your configured sources.
Select your destination: Choose Google Firestore from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Amazon Seller Partner objects you want to import data from towards Google Firestore. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Amazon Seller Partner to Google Firestore according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google Firestore data warehouse is always up-to-date with your Amazon Seller Partner data.

How to Sync Amazon Seller Partner to Google Firestore Manually

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Step 8:

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.

What is Amazon Seller Partner?

What data can you extract from Amazon Seller Partner?

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.

How do I transfer data from Amazon Seller Partner?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:
1. Set up Amazon Seller Partner to Google Firestore as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Amazon Seller Partner to Google Firestore and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

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.

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Databases

Finance & Ops Analytics

How to load data from Amazon Seller Partner to Google Firestore

Learn how to use Airbyte to synchronize your Amazon Seller Partner data into Google Firestore within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is Amazon Seller Partner

What is Google Firestore

Prerequisites

Step 1: Setup Amazon Seller Partner

Step 2: Setup Google Firestore

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Amazon Seller Partner and Google Firestore

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Amazon Seller Partner as a source connector (using Auth, or usually an API key)
set up Google Firestore as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Amazon Seller Partner

What is Google Firestore

Integrate Amazon Seller Partner with Google Firestore in minutes

Try for free now

Prerequisites

A Amazon Seller Partner account to transfer your customer data automatically from.
A Google Firestore account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up Amazon Seller Partner as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.

2. Click on the "Amazon Seller Partner" source connector and select "Create new connection."

3. Enter a name for your connection and click "Next."

4. Enter your Amazon Seller Partner credentials, including your Seller ID, MWS Auth Token, and Marketplace ID.

5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Amazon Seller Partner account.

6. Once the test is successful, click "Save" to save your connection.

8. Once you have configured your sync settings, click "Save" to save your configuration.

9. You can now run your sync manually or schedule it to run automatically at regular intervals.

Step 2: Set up Google Firestore as a destination connector

Step 3: Set up a connection to sync your Amazon Seller Partner data to Google Firestore

Once you've successfully connected Amazon Seller Partner as a data source and Google Firestore as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Amazon Seller Partner from the dropdown list of your configured sources.
Select your destination: Choose Google Firestore from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Amazon Seller Partner objects you want to import data from towards Google Firestore. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Amazon Seller Partner to Google Firestore according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google Firestore data warehouse is always up-to-date with your Amazon Seller Partner data.

Use Cases to transfer your Amazon Seller Partner data to Google Firestore

Integrating data from Amazon Seller Partner to Google Firestore provides several benefits. Here are a few use cases:

Advanced Analytics: Google Firestore’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Amazon Seller Partner data, extracting insights that wouldn't be possible within Amazon Seller Partner alone.
Data Consolidation: If you're using multiple other sources along with Amazon Seller Partner, syncing to Google Firestore allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Amazon Seller Partner has limits on historical data. Syncing data to Google Firestore allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Google Firestore provides robust data security features. Syncing Amazon Seller Partner data to Google Firestore ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Google Firestore can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Amazon Seller Partner data.
Data Science and Machine Learning: By having Amazon Seller Partner data in Google Firestore, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Amazon Seller Partner provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Google Firestore, providing more advanced business intelligence options. If you have a Amazon Seller Partner table that needs to be converted to a Google Firestore table, Airbyte can do that automatically.