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Kondado makes it simple to visualize your Mercado Livre data inside BIMachine without writing code or managing complex databases. You connect your store as a data source, select the information you want to replicate, and decide how often it should refresh. Within minutes, your orders, inventory, and advertising metrics become interactive charts and graphs that help marketing and operations teams spot trends quickly.
Business users can track daily performance, compare item prices, and monitor payment statuses directly from their reports to make faster commercial decisions. The setup requires no technical expertise, so your team can focus on analyzing results instead of preparing data.
Kondado provides a direct Via Kondado connection that replicates Mercado Livre data into BIMachine on a configurable schedule, offering 19 pipelines and 716 fields spanning orders, items, ads, store performance, and Mercado Pago payments.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
With the Mercado Livre data source in BIMachine, you can bring together store metrics that usually live in separate screens. For example, combining the Items: daily performance pipeline with the Ads pipeline lets you see how visits convert into actual sales and whether your advertising spend is driving inventory movement. You can also cross-reference the Orders pipeline with the Payments Mercado Pago pipeline to understand cash flow timing and recognize which payment methods your customers prefer most.
Adding the Store: daily performance pipeline reveals total interactions and revenue trends, so you adjust pricing and stock before demand shifts. These connected insights help teams align daily priorities without manual data preparation.
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 your data source by authenticating your store credentials.
Choose BIMachine as the destination for your replicated data. If your team also works with Power BI or Looker Studio, you can create additional destinations later from the same source.
Open BIMachine to design reports using your store metrics, then set a schedule so your charts stay updated automatically without manual work.
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Answers about visualizing Mercado Libre data in BIMachine automatically
Try out all the features for free for 14 days