How do I connect Mercado Livre to Looker without technical knowledge?

Simply add Mercado Livre as a data source in your Kondado account and select Looker as your destination. The setup requires no coding or database configuration, so marketing and operations teams can start replicating data immediately without IT support.

What ready-made dashboards are available for Mercado Livre data?

Kondado offers pre-built report templates including the Mercado Libre Looker Studio Report and Mercado Libre Power BI Report to help you get started quickly. These templates provide immediate visualizations of sales performance, inventory levels, and advertising metrics that you can customize to match your specific business needs.

How often does my Mercado Livre data update in Looker?

You control the update frequency and can configure replication to run every 5 minutes, 15 minutes, hourly, or daily depending on your operational requirements. This keeps your dashboards current without manual refreshes, ensuring your team always works with the latest sales and inventory information.

Which Mercado Livre metrics should I track in Looker for sales growth?

Focus on the Items: daily performance pipeline to monitor sales velocity and the Ads pipeline to measure campaign effectiveness and return on ad spend. Combining these with Order Reviews data helps you identify which products generate the highest customer satisfaction and drive repeat business.

Can I share Mercado Livre dashboards with my team in Looker?

Yes, once your data flows into Looker, you can distribute dashboards to stakeholders across your organization using Looker's native sharing features. Team members can view updated business metrics without needing direct access to your Mercado Livre seller account.

Do I need to hire a developer to set up the Mercado Livre connection?

No developer is required because Kondado handles all the technical complexity behind the scenes. Business users can complete the entire setup in minutes by following the guided connection process and selecting their preferred data pipelines from the available options.

What specific insights can I get from Mercado Livre order data in Looker?

You can analyze purchasing patterns using the Orders and Order Items pipelines to see which products are frequently bought together, identify peak sales periods, and track average order values. This helps you optimize product bundling strategies and inventory planning for maximum profitability.

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Visualize Mercado Livre Data in Looker for Better Insights

Connect your Mercado Livre store to Looker using Kondado to start visualizing sales performance, inventory levels, and customer metrics without writing a single line of code or managing complex infrastructure. Our platform replicates your marketplace data on a configurable schedule, delivering fresh insights to your dashboards every 5 minutes, hourly, or daily based on your specific business requirements. Marketing and operations teams can track advertising results, monitor stock availability, and analyze purchasing trends directly in Looker to identify growth opportunities, optimize pricing strategies, and improve customer satisfaction with data-driven decisions. Whether you manage a single store or multiple seller accounts, you can consolidate all your Mercado Livre data into unified dashboards that help you understand buyer behavior and market trends at a glance, making it simple to spot top-performing products and adjust your commercial strategy quickly.

Kondado connects Mercado Livre to Looker directly without intermediate databases or complex configuration, allowing business users to visualize 19 different data pipelines including orders, inventory, and advertising metrics with 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 Kondado, you can combine Mercado Livre’s Items: daily performance data with Order Reviews in Looker to understand exactly which products drive customer satisfaction and generate repeat purchases over time. Analyze your Ads pipeline alongside Store: daily performance metrics to see how promotional campaigns directly impact revenue, visitor engagement, and conversion rates across your entire product catalog. These combined insights help you optimize inventory allocation, adjust pricing strategies based on actual sales velocity, and identify your best-performing product categories without switching between multiple platforms or waiting for manual reports.

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Mercado Libre data available in Looker

available pipelines

716

extractable fields

Available integrations

Integration	Description
Ads	Table presents published ads with fields such as id, title, price, and description, along with metrics like total_visits_last_90_days.
Items	Table contains item details, including id, catalog_product_id, and attributes such as brand and model, along with pricing information.
Items: stock	Table provides information on available stock, including user_product_id, item_id, and quantity, along with availability type.
Items: daily performance	Table presents daily performance metrics of items, allowing analysis of sales and interactions over time.
Items: prices	Table displays pricing information for items, including id, selling price, and sale conditions, essential for marketing strategies.
Items: selling prices	Table provides details on the selling prices of items, including id and values, fundamental for market analysis.
Items: variations	Table presents variations of items, including attributes such as color and size, allowing better customer segmentation.
Store: daily performance	Table provides daily performance metrics of the store, including total sales and interactions, essential for evaluating results.
Payments Mercado Pago	Table contains information on payments, including id, status, and values, fundamental for financial management.
Orders	Table presents order details, including id, status, and information about buyers, essential for sales management.
Order Invoices	Includes fields such as id, seller_id, and total_amount, allowing detailed analysis of transactions and billed amounts.
Order Reviews	Contains information such as order_id, rating, and comment, facilitating the assessment of customer satisfaction and feedback on orders.
Order Buyers	Presents data such as buyer_id, buyer_email, and buyer_name, allowing analysis of buyer profiles and their contact information.
Order Context	Includes fields such as order_id, context_type, and context_value, providing insights into the conditions and circumstances of orders.
Order Shipments	Contains information such as shipment_id, tracking_number, and shipping_status, allowing tracking and management of shipments made.
Order Items	Includes data such as item_id, quantity, and price, facilitating the analysis of purchased products and their quantities.
Order Payments	Presents fields such as payment_id, payment_method, and payment_status, allowing analysis of payment methods and statuses for orders.
Order Sellers	Includes information such as seller_id, seller_name, and seller_rating, allowing analysis of seller performance and reputation.
Complaints	Contains fields such as complaint_id, order_id, and resolution_status, facilitating tracking and management of customer complaints.

Ads

Table presents published ads with fields such as id, title, price, and description, along with metrics like total_visits_last_90_days.

Items

Table contains item details, including id, catalog_product_id, and attributes such as brand and model, along with pricing information.

Items: stock

Table provides information on available stock, including user_product_id, item_id, and quantity, along with availability type.

Items: daily performance

Table presents daily performance metrics of items, allowing analysis of sales and interactions over time.

Items: prices

Table displays pricing information for items, including id, selling price, and sale conditions, essential for marketing strategies.

Items: selling prices

Table provides details on the selling prices of items, including id and values, fundamental for market analysis.

Items: variations

Table presents variations of items, including attributes such as color and size, allowing better customer segmentation.

Store: daily performance

Table provides daily performance metrics of the store, including total sales and interactions, essential for evaluating results.

Payments Mercado Pago

Table contains information on payments, including id, status, and values, fundamental for financial management.

Orders

Table presents order details, including id, status, and information about buyers, essential for sales management.

Order Invoices

Includes fields such as id, seller_id, and total_amount, allowing detailed analysis of transactions and billed amounts.

Order Reviews

Contains information such as order_id, rating, and comment, facilitating the assessment of customer satisfaction and feedback on orders.

Order Buyers

Presents data such as buyer_id, buyer_email, and buyer_name, allowing analysis of buyer profiles and their contact information.

Order Context

Includes fields such as order_id, context_type, and context_value, providing insights into the conditions and circumstances of orders.

Order Shipments

Contains information such as shipment_id, tracking_number, and shipping_status, allowing tracking and management of shipments made.

Order Items

Includes data such as item_id, quantity, and price, facilitating the analysis of purchased products and their quantities.

Order Payments

Presents fields such as payment_id, payment_method, and payment_status, allowing analysis of payment methods and statuses for orders.

Order Sellers

Includes information such as seller_id, seller_name, and seller_rating, allowing analysis of seller performance and reputation.

Complaints

Contains fields such as complaint_id, order_id, and resolution_status, facilitating tracking and management of customer complaints.

See all available data →

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How to create Mercado Libre dashboards in Looker

Visualize your data automatically — no spreadsheet exports or custom scripts.

Add Mercado Livre as data source

Select Mercado Livre from our available sources and authenticate your seller account to access the 19 data pipelines including orders, inventory, and advertising metrics.

Choose Looker destination

Select Looker as your destination and configure the connection to send your replicated data directly to your existing Looker environment without any intermediate databases.

Configure refresh and visualize

Set your preferred update frequency from 5 minutes to daily, then start building dashboards in Looker to track sales performance, monitor inventory levels, and analyze customer behavior patterns.