How does the Nuvemshop to Google Sheets data replication work?

Kondado extracts data from your Nuvemshop (Tiendanube) store and loads it into Google Sheets automatically. You select which pipelines to replicate and set the update schedule, ranging from 5 minutes to daily, based on your reporting requirements.

What pipelines are available from Nuvemshop (Tiendanube)?

There are 25 pipelines available including Orders, Customers, Products, Abandoned Carts, Coupons, and Shipments. Each pipeline contains specific fields such as id, created_at, discount values, and tracking information, totaling 981 fields for analysis.

How frequently does the data update in Google Sheets?

Updates occur on a configurable schedule, which can be set to every 5 minutes, 15 minutes, hourly, or daily. This flexibility allows traffic managers to monitor live campaigns or sales teams to prefer consolidated daily reports.

Can I combine Nuvemshop data with other sources in the same spreadsheet?

Yes, you can replicate data from multiple sources to different tabs or spreadsheets, including Power BI , BigQuery , or PostgreSQL . This enables blending Nuvemshop sales data with advertising campaign metrics or inventory from other systems.

What format does the data take in Google Sheets?

Data arrives in organized tabular format, with columns corresponding to the selected pipeline fields such as id, email, creation date, and monetary values. Each row represents an individual record, making it easy to build pivot tables and custom charts.

Do I need technical skills to set up the pipeline?

No coding or advanced API knowledge is required. Configuration happens through an intuitive visual interface where you authorize access to Nuvemshop, select Google Sheets as the destination, and choose your desired pipelines in just a few clicks.

Send data from Nuvemshop (Tiendanube) to Google Sheets

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Nuvemshop (Tiendanube) to Google Sheets Data Pipeline

Connect your Nuvemshop (Tiendanube) store to Google Sheets using Kondado’s automated data replication. Our platform copies your ecommerce data into spreadsheets on a configurable schedule, enabling traffic managers, data analysts, and operations teams to track sales metrics, inventory levels, and customer behavior without manual exports. Set up automated updates to run every 5 minutes, 15 minutes, hourly, or daily based on your reporting needs.

Kondado is a data replication platform that connects Nuvemshop (Tiendanube) to Google Sheets, automatically replicating Orders, Customers, Products, and 22 additional pipelines into shareable spreadsheets with user-configurable automated updates.

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

With the Orders and Customers pipelines available in Kondado, you can analyze sales performance and purchasing behavior directly in Google Sheets. The Products pipeline enables inventory tracking and variation management, while Abandoned Carts data helps marketing managers identify recovery opportunities. Use this information to build custom reports, blend metrics from multiple sources, and keep your sales team aligned with automatically updated numbers.

Try out all the features for free for 14 days

Nuvemshop (Tiendanube) data available for Google Sheets

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.