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Kondado helps business teams replicate Mercado Livre data directly into QlikView without any coding or technical setup. You simply connect your Mercado Livre account and select the data you want to visualize. The platform provides access to 19 pipelines covering everything from product listings to customer orders and payment information. This allows marketing and operations teams to create comprehensive dashboards that support daily decision making. Your data stays current through automated updates that you control.
Kondado connects Mercado Livre to QlikView using a Via Kondado connection, allowing you to replicate 716 data fields across 19 pipelines including orders, ads, inventory, and store performance metrics on a configurable schedule ranging from every 5 minutes to daily updates.
With Kondado, you eliminate manual data exports and complex spreadsheet work. Business users can focus on analyzing sales trends and customer behavior instead of wasting time on data preparation. The visual interface makes it simple to select exactly which Mercado Livre information you need for your QlikView reports.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Combining Mercado Livre data with QlikView visualization capabilities gives you powerful insights into your e-commerce performance. You can analyze the Items: daily performance pipeline to track how specific products trend over time, or use the Orders pipeline to monitor sales velocity and buyer behavior patterns. The Ads pipeline helps you understand which listings generate the most visits and conversions. By bringing these datasets together in QlikView, you can identify your best-selling products, optimize inventory decisions, and track marketing effectiveness through visual data rather than guesswork.
Try out all the features for free for 14 days
| 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. |
Try out all the features for free for 14 days
Visualize your data automatically — no spreadsheet exports or custom scripts.
Log into Kondado and add Mercado Livre as a new data source by entering your seller credentials to establish the connection.
Choose QlikView from the available destinations and configure which pipelines you want to replicate, such as Orders or Store performance data.
Set your preferred update frequency from every 5 minutes to daily, then start building visual reports in QlikView using your replicated Mercado Livre data.
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Try out all the features for free for 14 days