No-code pipeline · Mercado Libre → Amazon S3

Send data from Mercado Libre to Amazon S3

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From Mercado Libre to Amazon S3: managed, scheduled, no code.
Creating a pipeline that sends data from Mercado Libre to Amazon S3 data lakes takes only a few minutes with Kondado. And the whole integration from Mercado Libre to Amazon S3 is managed and executed by our platform. With Kondado, you can focus on extracting value from Mercado Libre data and combining it with other data in your Amazon S3 data lake

Send Mercado Livre Data to Amazon S3

How to send Mercado Livre data to Amazon S3? Kondado provides a direct integration that replicates your marketplace data on a configurable schedule. Simply connect your Mercado Livre account, configure your Amazon S3 bucket as the destination, and select which pipelines you want to replicate. The platform handles the data extraction and loading automatically, ensuring your S3 bucket stays updated with fresh marketplace data for analysis.

Kondado is a data integration platform that replicates Mercado Livre data to Amazon S3 on a configurable schedule, offering 19 pipelines including Ads, Orders, Items, and Payments Mercado Pago with 716 fields total, enabling automated data warehouse loading and compatibility with Athena, Presto, and Dremio for immediate query execution.

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

Once your data lands in Amazon S3, you can analyze Orders data alongside Items: daily performance metrics to track sales velocity and inventory turnover across your entire catalog. The Ads pipeline provides detailed campaign performance data including total_visits_last_90_days, enabling you to correlate advertising spend with actual sales outcomes stored in your scalable data lake. This combination allows you to build comprehensive business intelligence workflows using Athena, Presto, or Dremio without complex ETL development, powering data-driven decisions for your marketplace operations.

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Replicated to Amazon S3

Mercado Libre data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

19
available pipelines
716
extractable fields
Amazon S3
Destination

Available integrations

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.

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How to send Mercado Libre data to Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect your Mercado Livre account

Authenticate your Mercado Livre seller credentials in Kondado to establish the data source connection and authorize access to your marketplace data.

2
Configure your Amazon S3 destination

Set up your Amazon S3 bucket parameters including the target path and file organization structure to ensure optimal compatibility with your existing data lake architecture.

3
Select pipelines and schedule updates

Choose from the 19 available pipelines such as Orders, Ads, or Items: daily performance, then define your update frequency to automate the replication process according to your analytics requirements.

Try out all the features for free for 14 days

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Send data from Mercado Libre to other destinations

Choose a tool to visualize your Mercado Libre data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Frequently Asked Questions (FAQ)

Answers about sending Mercado Libre data to Amazon S3 automatically

What Mercado Livre data can I replicate to Amazon S3?
Kondado offers 19 distinct pipelines covering Ads, Orders, Items, Payments Mercado Pago, and store performance metrics. You can replicate detailed transaction data including order invoices, buyer information, shipment tracking, and item variations with their specific attributes like color and size.
How often does Kondado update my Mercado Livre data in S3?
You configure the replication schedule based on your business needs, with options ranging from every 5 minutes to daily updates. This flexibility ensures your Amazon S3 data lake reflects recent marketplace activity without overwhelming your API limits or storage costs.
What file format does the data arrive in when sent to Amazon S3?
The data is delivered in optimized formats compatible with AWS analytics services, allowing immediate querying through Athena or Presto. This structure supports efficient data virtualization and separation of storage and compute resources within your AWS environment.
Can I combine Mercado Livre data with other sources in my S3 data lake?
Yes, you can replicate data from multiple sources into the same Amazon S3 bucket to create unified datasets. Combine your marketplace data with information from BigQuery, PostgreSQL, or other platforms to build comprehensive cross-channel analytics.
Are there pre-built dashboards available for Mercado Livre data?
Yes, Kondado provides ready-made report templates including the Mercado Libre Looker Studio Report and Mercado Libre Power BI Report. These templates connect directly to your data destination, allowing you to visualize sales performance, inventory levels, and advertising metrics immediately without building reports from scratch. You can also send data to Looker Studio or Power BI directly.
How do I query Mercado Livre data once it is in Amazon S3?
Use standard SQL through AWS Athena, Presto, or Dremio to analyze your replicated marketplace data directly from S3 storage. This approach eliminates the need to load data into traditional databases before analysis, reducing infrastructure complexity and query costs.

Try out all the features for free for 14 days

Try out all the features for free for 14 days