No-code pipeline · Mercado Libre → BigQuery

Send data from Mercado Libre to BigQuery

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From Mercado Libre to BigQuery: managed, scheduled, no code.

Kondado is a data integration platform that automatically replicates information from Mercado Livre to BigQuery on a configurable schedule, offering 19 different pipelines with 716 fields available for analysis.

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Send Mercado Livre Data to BigQuery

How to send Mercado Livre data to BigQuery? Kondado provides a complete solution for automated data replication from your Mercado Livre store directly into BigQuery. Our platform connects to the Mercado Livre API and transfers sales, product, and advertising information to your Google Cloud data warehouse, enabling advanced analytics without requiring any code.

Traffic managers and data analysts can consolidate metrics from multiple Mercado Livre accounts into a single environment, creating unified reports in Looker Studio or Power BI. Operations teams track orders, inventory, and ad performance with automated updates based on your defined schedule.

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The Orders and Mercado Pago Payments pipelines allow sales leaders to track transactions and revenue on a configurable schedule within BigQuery. Data analysts use the Store Daily Performance and Items pipelines to identify sales trends and optimize pricing strategies. With Shipment and Order Review data available in BigQuery, you can correlate customer satisfaction with delivery times and service quality.

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Replicated to BigQuery

Mercado Libre data available for BigQuery

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

available pipelines

716

extractable fields

BigQuery

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.

See all available data → Send Mercado Libre to BigQuery →

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How to send Mercado Libre data to BigQuery

Sync data automatically — no code, no manual exports.

Connect your Mercado Livre account

Visit the Mercado Livre page on Kondado and authorize access to your store to start replicating data automatically.

Configure your BigQuery project

Enter your BigQuery project credentials as the destination, defining the dataset where pipelines will be created automatically in structured format.

Select pipelines and schedule

Choose which pipelines such as Orders, Items, or Payments you want to replicate and set the update frequency according to your analysis needs, keeping your data always updated.

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Send data from Mercado Libre to other destinations

Mercado Libre > Looker Studio

Mercado Libre > Power BI

Other visualizations

Mercado Libre > Amazon S3

Mercado Libre > BigQuery

Mercado Libre > Excel

Mercado Libre > Google Sheets

Mercado Libre > MySQL

Mercado Libre > PostgreSQL

Mercado Libre > Redshift

Mercado Libre > SQL Server

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

Mercado Libre > Airtable

Mercado Libre > Alteryx

Mercado Libre > Amazon Quicksight

Mercado Libre > BIMachine

Mercado Libre > Cortex

Mercado Libre > Data Studio

Mercado Libre > Geckoboard

Mercado Libre > Grafana

Mercado Libre > IBM Cognos Analytics

Mercado Libre > Klipfolio

Mercado Libre > Looker Studio

Mercado Libre > Looker

Mercado Libre > Looqbox

Mercado Libre > Metabase

Mercado Libre > Microstrategy

Mercado Libre > Pentaho

Mercado Libre > Power BI

Mercado Libre > Qlik Cloud Analytics

Mercado Libre > Qlik Sense

Mercado Libre > Qlik

Mercado Libre > QlikView

Mercado Libre > Redash

Mercado Libre > Superset

Mercado Libre > Tableau

Mercado Libre > BI TOTVS

Mercado Libre > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Mercado Libre data to BigQuery automatically

How does the Mercado Livre to BigQuery pipeline work on Kondado? ▼

You connect your Mercado Livre account to Kondado, select which pipelines you want to replicate, such as Orders, Items, or Payments, and set your update frequency. Data is automatically sent to tables in your BigQuery project, ready for SQL queries and dashboard creation.

What Mercado Livre data can I replicate to BigQuery? ▼

There are 19 pipelines available, including Orders, Items, Stock, Ads, Mercado Pago Payments, Shipments, Reviews, Complaints, and store performance metrics. Each pipeline contains specific fields such as IDs, status, values, and product attributes, totaling 716 fields.

How frequently is data updated in BigQuery? ▼

Kondado offers configurable replication frequency, allowing updates every 5 minutes, 15 minutes, hour, or day based on your analysis needs. You set the ideal interval to keep your reports updated automatically without manual intervention.

Does the data arrive in SQL-ready format in BigQuery? ▼

Yes, data is replicated in structured format directly into BigQuery tables, compatible with standard SQL. You can create views, joins with other sources, and connect tools like Looker Studio or Power BI directly to your tables.

Can I combine Mercado Livre data with other sources in BigQuery? ▼

Yes, Kondado allows you to replicate data from over 80 different sources into the same BigQuery project. You can cross-reference Mercado Livre information with data from Facebook Ads, Google Ads, Shopify, or Google Sheets in unified queries.

Are there ready-made dashboards available for this data? ▼

Yes, we offer ready-to-use report templates for Mercado Livre, including reports for Looker Studio and Power BI. You can start visualizing sales, inventory, and performance metrics immediately after the first replication.

Do I need technical knowledge to set up the pipeline? ▼

No coding or advanced API knowledge is required. Kondado's interface guides you through connecting your Mercado Livre account and configuring the BigQuery destination visually and intuitively, allowing traffic managers to set everything up in minutes.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days