Send data from Nuvemshop (Tiendanube) to Excel

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Send Nuvemshop (Tiendanube) Data to Excel Automatically

Connect your Nuvemshop (Tiendanube) store to Excel through Kondado and automate your ecommerce reporting without manual exports. Our platform replicates your store data directly into Excel workbooks on a schedule you configure, from every 5 minutes to daily intervals. Transform raw sales, inventory, and customer information into actionable insights using familiar spreadsheet formulas and pivot tables.

Eliminate tedious CSV downloads and manual data entry by automating the flow of your ecommerce metrics directly into spreadsheets. Whether you manage multiple client stores for agency clients or run a single growing shop, keep your financial models, inventory trackers, and sales performance dashboards current with automated data refreshes. Your team will always work with the latest numbers while saving hours previously spent on data preparation and formatting tasks.

Kondado provides automated replication of Nuvemshop (Tiendanube) data to Excel, offering 25 distinct pipelines including Sales, Customers, Products, and Abandoned Carts with 981 total fields available for analysis.

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

Access comprehensive Sales pipelines to build dynamic revenue reports that track daily performance, identify top-selling products, and analyze discount effectiveness using Excel’s charting capabilities. Combine detailed Customer data with purchase history to segment your audience and create targeted marketing lists directly within your spreadsheets. Monitor inventory levels through Products and Distribution Center Inventory pipelines to prevent stockouts and optimize reorder points using conditional formatting. With Abandoned Carts data, calculate recovery rates and identify revenue opportunities by analyzing incomplete checkouts alongside completed transactions to improve your store’s conversion funnel.

Try out all the features for free for 14 days

Nuvemshop (Tiendanube) data available for Excel

25
available pipelines
981
extractable fields

Available integrations

Integration Description
Custom Fields Includes fields such as id, created_at, and description, allowing customization of information related to specific resources.
Abandoned Carts Contains data such as id, billing_address, and completed_at, enabling tracking of unfinished checkouts.
Promotion Discount Settings Includes information on discount, discount_coupon, and discount_gateway, detailing discount settings applied to abandoned carts.
Abandoned Cart Coupons Presents data on coupons used, allowing analysis of promotions that encourage purchase completion.
Abandoned Cart Products Provides information on products included in the cart, such as id and has_stock_available, essential for understanding abandonment.
Applied Promotions for Abandoned Carts Includes details on promotions applied, allowing analysis of the impact of offers on unfinished carts.
Categories Contains information about product categories, facilitating the organization and search for items in the store.
Distribution Centers Presents data on distribution locations, allowing efficient management of inventory and logistics.
Distribution Center Inventory Includes information on available stock, facilitating control and replenishment of products.
Customers Contains data such as id, contact_email, and created_at, essential for customer relationship management.
Customers: Custom Fields Includes fields such as id, created_at, and value, enabling customization of customer information based on specific needs.
Coupons Contains information about coupons, including id, code, and discount value, facilitating the management of promotions and offers.
Shipping Methods Presents data on shipping methods, such as id, name, and cost, allowing analysis of available delivery options.
Products Includes details about products, such as id, name, and price, essential for inventory and sales management.
Products: Custom Fields Provides fields such as id, created_at, and value, allowing customization of product information as needed.
Products: Variations Includes information about product variations, such as id, type, and price, facilitating management of different product options.
Products: Variations: Custom Fields Presents fields such as id, created_at, and value, allowing customization of specific information for product variations.
Sales Contains data on sales, including id, total value, and date, essential for performance analysis and financial reporting.
Sales: Custom Fields Includes fields such as id, created_at, and value, allowing customization of sales information as needed.
Sales: Promotion Discount Settings Presents information on discount settings, such as id, discount type, and value, facilitating promotion management.
Sales: Coupons View information about coupons used in sales, including fields such as id, discount, and created_at.
Sales: Shipments Track details of sales shipments, with fields such as tracking_number, shipping_address, and created_at.
Sales: Shipping Events Examine events related to shipping, including fields such as event_type, event_timestamp, and tracking_number.
Sales: Products Explore information about sold products, with fields such as product_id, quantity, and price.
Sales: Applied Promotions Analyze promotions applied in sales, including fields such as promotion_id, discount_value, and created_at.
Custom Fields
Includes fields such as id, created_at, and description, allowing customization of information related to specific resources.
Abandoned Carts
Contains data such as id, billing_address, and completed_at, enabling tracking of unfinished checkouts.
Promotion Discount Settings
Includes information on discount, discount_coupon, and discount_gateway, detailing discount settings applied to abandoned carts.
Abandoned Cart Coupons
Presents data on coupons used, allowing analysis of promotions that encourage purchase completion.
Abandoned Cart Products
Provides information on products included in the cart, such as id and has_stock_available, essential for understanding abandonment.
Applied Promotions for Abandoned Carts
Includes details on promotions applied, allowing analysis of the impact of offers on unfinished carts.
Categories
Contains information about product categories, facilitating the organization and search for items in the store.
Distribution Centers
Presents data on distribution locations, allowing efficient management of inventory and logistics.
Distribution Center Inventory
Includes information on available stock, facilitating control and replenishment of products.
Customers
Contains data such as id, contact_email, and created_at, essential for customer relationship management.
Customers: Custom Fields
Includes fields such as id, created_at, and value, enabling customization of customer information based on specific needs.
Coupons
Contains information about coupons, including id, code, and discount value, facilitating the management of promotions and offers.
Shipping Methods
Presents data on shipping methods, such as id, name, and cost, allowing analysis of available delivery options.
Products
Includes details about products, such as id, name, and price, essential for inventory and sales management.
Products: Custom Fields
Provides fields such as id, created_at, and value, allowing customization of product information as needed.
Products: Variations
Includes information about product variations, such as id, type, and price, facilitating management of different product options.
Products: Variations: Custom Fields
Presents fields such as id, created_at, and value, allowing customization of specific information for product variations.
Sales
Contains data on sales, including id, total value, and date, essential for performance analysis and financial reporting.
Sales: Custom Fields
Includes fields such as id, created_at, and value, allowing customization of sales information as needed.
Sales: Promotion Discount Settings
Presents information on discount settings, such as id, discount type, and value, facilitating promotion management.
Sales: Coupons
View information about coupons used in sales, including fields such as id, discount, and created_at.
Sales: Shipments
Track details of sales shipments, with fields such as tracking_number, shipping_address, and created_at.
Sales: Shipping Events
Examine events related to shipping, including fields such as event_type, event_timestamp, and tracking_number.
Sales: Products
Explore information about sold products, with fields such as product_id, quantity, and price.
Sales: Applied Promotions
Analyze promotions applied in sales, including fields such as promotion_id, discount_value, and created_at.

Try out all the features for free for 14 days

How to send Nuvemshop (Tiendanube) data to Excel

Sync data automatically — no code, no manual exports.

1
Connect Nuvemshop to Kondado

Authenticate your Nuvemshop (Tiendanube) store by providing your API credentials in the Kondado platform to establish the data source connection.

2
Configure Excel Destination

Set up your Excel workbook location and specify how incoming data should structure itself within your spreadsheets, including sheet naming conventions.

3
Select Pipelines and Schedule

Choose from 25 available pipelines such as Sales, Customers, and Products, then define your automated update frequency to keep reports current.

Try out all the features for free for 14 days

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Frequently Asked Questions (FAQ)

Answers about sending Nuvemshop (Tiendanube) data to Excel automatically

How does Kondado replicate Nuvemshop data to Excel workbooks?
Kondado connects directly to your Nuvemshop store via API and automatically replicates selected data into Excel on your configured schedule. The platform updates your spreadsheets with fresh data from available pipelines without requiring manual exports or copy-paste operations.
What specific Nuvemshop data can I analyze in Excel?
You can replicate Sales transactions, Customer profiles, Product catalogs, Abandoned Carts, Coupons, and Shipping information among the available pipelines. Each dataset contains specific fields such as order values, inventory levels, customer emails, and promotion details that arrive structured for immediate analysis.
How frequently can I schedule Nuvemshop data updates in Excel?
Choose intervals ranging from every 5 minutes for high-frequency monitoring to daily updates for periodic reporting. This configurability ensures your inventory trackers reflect current stock levels while historical sales reports update at appropriate intervals for trend analysis.
Can I combine Nuvemshop data with other sources in the same Excel file?
Yes, Kondado supports multiple data sources simultaneously, allowing you to blend Nuvemshop sales data with information from Google Sheets, BigQuery, or PostgreSQL databases. Create unified reports that correlate ecommerce metrics with advertising spend, inventory management systems, or financial data from other platforms.
What format does Nuvemshop data take when it arrives in Excel?
Data arrives as structured datasets with properly formatted columns for dates, currencies, and text fields, ready for pivot tables and formulas. Each pipeline populates separate sheets within your workbook, maintaining relationships between orders, customers, and products for seamless analysis.
Do I need technical skills to set up Nuvemshop to Excel replication?
No coding is required to establish the connection, select your desired pipelines, and configure update schedules through Kondado's interface. The setup process involves authenticating your Nuvemshop account and mapping data fields to your preferred Excel structure without writing API queries or scripts.
Can I send Nuvemshop data to destinations other than Excel?
Absolutely, Kondado enables you to replicate the same Nuvemshop data to Power BI, Looker Studio, BigQuery, or Google Sheets simultaneously. This allows your team to work with the same dataset across different tools while maintaining consistency between your Excel reports and business intelligence dashboards.

Try out all the features for free for 14 days