No-code pipeline · Loja Integrada → Amazon S3

Send data from Loja Integrada to Amazon S3

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

sso google logo
Sign up with Google
sso facebook logo
Sign up with Facebook
sso microsoft logo
Sign up with Microsoft
sso linkedin logo
Sign up with Linkedin

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

From Loja Integrada to Amazon S3: managed, scheduled, no code.
Creating a pipeline that sends data from Loja Integrada to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from Loja Integrada to Amazon S3 is managed and executed by our platform. With Kondado, you can focus on extracting value from Loja Integrada data and combining it with other data in your Amazon S3 data lake
Connect Loja Integrada now →

Send Loja Integrada Data to Amazon S3 Automatically

How to send Loja Integrada data to Amazon S3? Kondado provides a no-code connection that replicates your Brazilian e-commerce data to scalable cloud storage. Simply authenticate your Loja Integrada account, configure your Amazon S3 bucket as the destination, and select which pipelines you want to replicate. The platform handles the data extraction and loading on a configurable schedule, whether you need updates every five minutes or daily batches, ensuring your data lake stays current without manual intervention. Once your data lands in S3, you can immediately analyze sales performance, inventory levels, and customer behavior using your preferred query engines.

Kondado automatically replicates Loja Integrada data including orders, products, customers, and inventory to Amazon S3 on a user-configured schedule, enabling analysts to query ecommerce data with Athena, Presto, or Dremio for business intelligence and operational analytics.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Loja Integrada Pipelines for Amazon S3

Replicate your Orders and Order Status History pipelines to track purchase patterns and fulfillment bottlenecks directly in your data lake. By combining Product Stock and Product Prices data in Amazon S3, you can build dynamic inventory valuation reports that update automatically as your catalog changes, helping you identify slow-moving items or pricing opportunities. With 17 available pipelines covering everything from Customer Groups to Shipping Methods, you can create comprehensive customer segmentation analysis or promotional effectiveness studies using SQL queries in BigQuery or visualization tools like Power BI connected to your S3 storage layer.

Try out all the features for free for 14 days

Replicated to Amazon S3

Loja Integrada data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

17
available pipelines
397
extractable fields
Amazon S3
Destination

Available integrations

Categories
Includes fields such as id, name, and description, allowing for the organization and hierarchy of products in the store.
Customers
Contains information such as id, name, and email, along with contact details and communication preferences.
Customer Groups
Presents fields such as id, name, and whether it is a default group, facilitating customer segmentation.
Coupons
Includes fields such as id, code, and application conditions, allowing management of discounts and promotions.
Labels
Provides information about labels used to categorize products or customers, facilitating organization.
Shipping Methods
Presents details about available shipping methods, including id, name, and associated costs.
Payment Methods
Includes information about payment methods, such as id, name, and applicable fees for transactions.
Brands
Contains fields such as id, name, and description, allowing for the identification and organization of product brands.
Orders
Includes information such as id, status, and creation date, allowing for tracking and management of orders.
Order Status History
Presents a record of order status changes, including id, status, and date of change.
Order Invoices
Includes fields such as id, creation_date, and total_value, allowing detailed tracking of invoices generated for each order.
Products
Contains information such as id, name, and description, along with data on price and category, essential for managing the product catalog.
Product Stock
Presents fields such as product_id, available_quantity, and reserved_quantity, allowing effective control of the stock for each product.
Product Variation Grades
Includes fields such as product_id, variation_name, and variation_value, facilitating the management of different variations of the same product.
Product Images
Presents fields such as product_id, image_url, and image_description, allowing visual organization and presentation of product images.
Product Prices
Includes fields such as product_id, sale_price, and promotional_price, essential for defining and managing the sale prices of products.
Order Statuses
Presents fields such as id, description, and last_updated, allowing monitoring of the different statuses of orders in processing.
See all available data → Send Loja Integrada to Amazon S3 →

Try out all the features for free for 14 days

How to send Loja Integrada data to Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect Loja Integrada Account

Authenticate your Loja Integrada store by providing your API credentials in the Kondado interface, allowing the platform to access your ecommerce data for replication.

2
Configure Amazon S3 Destination

Enter your S3 bucket name and desired prefix path where the Loja Integrada data should be stored, ensuring proper organization for your data lake architecture.

3
Select Pipelines and Schedule

Choose from the 17 available pipelines such as Orders, Products, and Customers, then set your preferred update frequency ranging from five minutes to daily intervals.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
arezzo
brf
Contabilizei
dpz
Experian
grupo_soma
inpress
multilaser
olist
unimed
v4_company
yooper

Why Kondado?

Focus on extracting value from your data and leave the rest to us

shape-data-to-dashboards icon-data-multiple-destinations

Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →
shape-data-to-dashboards icon-data-multiple-destinations

From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →
shape-data-to-dashboards icon-data-dollar

Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Send data from Loja Integrada to other destinations

Looker Studio

Loja Integrada > Looker Studio
Power BI

Loja Integrada > Power BI
Other visualizations
Other visualizations
Amazon S3

Loja Integrada > Amazon S3
BigQuery

Loja Integrada > BigQuery
Excel

Loja Integrada > Excel
Google Sheets

Loja Integrada > Google Sheets
MySQL

Loja Integrada > MySQL
PostgreSQL

Loja Integrada > PostgreSQL
Redshift

Loja Integrada > Redshift
SQL Server

Loja Integrada > SQL Server

Choose a tool to visualize your Loja Integrada data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Airtable
Loja Integrada > Airtable
Alteryx
Loja Integrada > Alteryx
Amazon Quicksight
Loja Integrada > Amazon Quicksight
BIMachine
Loja Integrada > BIMachine
Cortex
Loja Integrada > Cortex
Data Studio
Loja Integrada > Data Studio
Geckoboard
Loja Integrada > Geckoboard
Grafana
Loja Integrada > Grafana
IBM Cognos Analytics
Loja Integrada > IBM Cognos Analytics
Klipfolio
Loja Integrada > Klipfolio
Looker Studio
Loja Integrada > Looker Studio
Looker
Loja Integrada > Looker
Looqbox
Loja Integrada > Looqbox
Metabase
Loja Integrada > Metabase
Microstrategy
Loja Integrada > Microstrategy
Pentaho
Loja Integrada > Pentaho
Power BI
Loja Integrada > Power BI
Qlik Cloud Analytics
Loja Integrada > Qlik Cloud Analytics
Qlik Sense
Loja Integrada > Qlik Sense
Qlik
Loja Integrada > Qlik
QlikView
Loja Integrada > QlikView
Redash
Loja Integrada > Redash
Superset
Loja Integrada > Superset
Tableau
Loja Integrada > Tableau
BI TOTVS
Loja Integrada > BI TOTVS
Zoho Analytics
Loja Integrada > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Loja Integrada data to Amazon S3 automatically

What file format does Kondado use when storing Loja Integrada data in Amazon S3? ▼
Kondado stores your Loja Integrada data in Apache Parquet format by default, though JSON and CSV options are available depending on your analytics requirements. Parquet files provide columnar storage that optimizes query performance when using Athena or Presto directly against your S3 bucket. This format reduces storage costs while enabling fast SQL analysis without requiring additional database infrastructure.
How frequently can I schedule updates for my Loja Integrada data in Amazon S3? ▼
You can configure replication schedules ranging from every five minutes to daily intervals, depending on how current your analytics needs require. Near-real-time updates every five minutes work well for operational dashboards monitoring order flow, while hourly or daily schedules suit financial reconciliation and inventory planning. Each pipeline updates independently, so you can set different frequencies for high-volume Orders versus slowly changing Categories.
Can I merge Loja Integrada data with other ecommerce platforms in the same Amazon S3 environment? ▼
Yes, Kondado allows you to replicate data from multiple data sources into the same S3 bucket or prefix structure, creating a unified data lake. Combine your Loja Integrada sales data with information from other marketplaces or your PostgreSQL database to build cross-platform performance comparisons. This consolidated approach enables comprehensive business intelligence without maintaining separate storage silos for each data source.
Which specific Loja Integrada entities can I replicate to Amazon S3? ▼
Kondado offers 17 distinct pipelines including Orders, Products, Customers, Coupons, and Shipping Methods, covering 397 total fields across your ecommerce operation. You can select specific pipelines such as Order Invoices for financial analysis or Product Variation Grades for inventory management rather than replicating all data. This granular selection helps optimize storage costs while ensuring you have exactly the data needed for your analytics workflows.
Is coding required to start replicating Loja Integrada data to Amazon S3? ▼
No code is required to establish the connection between Loja Integrada and your S3 bucket, as Kondado provides a point-and-click interface for authentication and configuration. The platform handles API authentication, data type mapping, and schema evolution automatically when Loja Integrada updates its data structure. You simply provide your credentials, select your pipelines, and define your update schedule to begin replication immediately.
Can I analyze Loja Integrada data directly in Amazon S3 without loading it into a data warehouse? ▼
Yes, storing Loja Integrada data in S3 enables direct querying using Amazon Athena, Presto, or Dremio without moving data to BigQuery or Redshift first. This serverless approach allows analysts to run SQL queries against Parquet files in your bucket, paying only for the queries executed rather than maintaining persistent database infrastructure. Many users create Looker Studio or Power BI reports that connect directly to these S3-based datasets.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days