Dashboards in minutes

Connect Mercado Libre to Airtable: Dashboards in Minutes

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Connect Mercado Libre to Airtable

To visualize Mercado Livre data in Airtable, connect your Mercado Livre store to Kondado and select Airtable as your destination. Kondado replicates your ecommerce data directly into Airtable on a configurable schedule, giving your marketing and operations teams updated records for sales tracking and inventory management. There is no intermediate database to configure and no code to write, so business users can set up the connection in minutes and start building views right away. Once your data is available in Airtable, you can group orders by status, filter ads by performance, and share dashboards with stakeholders to keep everyone aligned on store results. This direct approach helps small and medium businesses turn raw marketplace information into structured visual data that drives faster decisions.

19
available pipelines
716
extractable fields
  • ✓No code, no spreadsheets
  • ✓Auto-refreshed data
  • ✓14-day free trial
Connect Mercado Libre now →

Try out all the features for free for 14 days

Kondado provides 19 Mercado Livre pipelines with 716 fields, covering orders, ads, stock, and store performance, enabling teams to build custom Airtable views that support daily decisions without any technical expertise.

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

Try out all the features for free for 14 days

Available data

Mercado Libre data available in Airtable

Each item below is automatically replicated by Kondado from Mercado Libre into Airtable — no schema setup, no manual mapping.

19
available pipelines
716
extractable fields
∞
Auto-refresh

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.
Full docs on the wiki → Start free trial →

Try out all the features for free for 14 days

With Kondado, your Mercado Livre information becomes a flexible workspace inside Airtable. The Orders pipeline delivers buyer details and payment status, while Items: daily performance and Store: daily performance let you compare sales trends and visitor activity side by side. By combining these datasets in Airtable, you create a single source of truth that helps your team decide which products to promote, when to restock, and how to improve customer satisfaction without switching between multiple tools or managing spreadsheets manually.

Try out all the features for free for 14 days

How to create Mercado Libre dashboards in Airtable

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

1
Add Mercado Livre to Kondado

In your Kondado account, choose Mercado Livre as your data source and authenticate your store credentials to open the available pipelines.

2
Pick Airtable as destination

Select Airtable from the destination list and define which base will receive your Mercado Livre data, with no intermediate database required.

3
Build views and set refresh

Create Airtable views and dashboards using your replicated data, then choose a refresh schedule such as every 15 minutes or daily to keep insights current.

Access Mercado Libre data in Airtable and combine it with dozens of other data sources

If the source you want is not listed, drop us a chat message. We love to add new sources!

55pbx
55pbx
ActiveCampaign
ActiveCampaign
Google Ads
Google Ads
Amazon S3
Amazon S3
api4com
api4com
Apple App Store
Apple App Store
ASAAS
ASAAS
AWS CloudWatch Metrics
AWS CloudWatch Metrics
Azure Table Storage
Azure Table Storage
BigQuery
BigQuery
Bing
Bing
Bitrix24 CRM
Bitrix24 CRM
Bling!
Bling!
Blip (take)
Blip (take)
ClickUp
ClickUp
Clockify
Clockify
ContaAzul
ContaAzul
Criteo
Criteo
E-goi
E-goi
EADBOX
EADBOX
Exact Sales
Exact Sales
Facebook Ads
Facebook Ads
Facebook
Facebook
Fatura Simples
Fatura Simples
Freshdesk
Freshdesk
FTP
FTP
Google Analytics GA4
Google Analytics GA4
Google Cloud Storage
Google Cloud Storage
Google Play Store
Google Play Store
Google Search Console
Google Search Console
Google Sheets
Google Sheets
Granatum
Granatum
Hi Platform
Hi Platform
Hotmart
Hotmart
Hubspot
Hubspot
Huggy
Huggy
InfluxDB v1
InfluxDB v1
Infusionsoft (Keap)
Infusionsoft (Keap)
Instagram Ads
Instagram Ads
Instagram
Instagram
Jira
Jira
Linkedin
Linkedin
Loja Integrada
Loja Integrada
MailChimp
MailChimp
Mandrill
Mandrill
Mautic
Mautic
Meetime
Meetime
Mercado Libre
Mercado Libre
Meta Ads
Meta Ads
Microsoft Ads
Microsoft Ads
Microsoft Advertising
Microsoft Advertising
Mixpanel
Mixpanel
monday.com
monday.com
MongoDB
MongoDB
Movidesk
Movidesk
MySQL (& MariaDB)
MySQL (& MariaDB)
NectarCRM
NectarCRM
Notion
Notion
Nuvemshop (Tiendanube)
Nuvemshop (Tiendanube)
Olist Tiny
Olist Tiny
Omie
Omie
Oracle
Oracle
Pagar.me
Pagar.me
Pinterest Ads
Pinterest Ads
Pipedrive
Pipedrive
Pipefy
Pipefy
PipeRun
PipeRun
Ploomes
Ploomes
PostgreSQL
PostgreSQL
Pushwoosh
Pushwoosh
RDStation CRM
RDStation CRM
RDStation
RDStation
Recruiterbox
Recruiterbox
Salesforce Marketing Cloud (Exact Target)
Salesforce Marketing Cloud (Exact Target)
Salesforce
Salesforce
SenseData
SenseData
Shopify
Shopify
SQLServer
SQLServer
Stilingue
Stilingue
Superlogica
Superlogica
Sympla
Sympla
Taboola
Taboola
Tangerino
Tangerino
TikTok Ads
TikTok Ads
TikTok Organic
TikTok Organic
Tiny ERP
Tiny ERP
Toggl
Toggl
Tray
Tray
Trello
Trello
Twilio
Twilio
VNDA
VNDA
VTEX
VTEX
Wake Commerce
Wake Commerce
Webhook
Webhook
Wootric
Wootric
WordPress
WordPress
X Ads
X Ads
YouTube
YouTube
Zeeng
Zeeng
Zendesk Chat (Zopim)
Zendesk Chat (Zopim)
Zendesk
Zendesk

Visualize Mercado Libre data in other BI tools

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

Airtable
Mercado Libre > Airtable
Alteryx
Mercado Libre > Alteryx
Amazon Quicksight
Mercado Libre > Amazon Quicksight
BIMachine
Mercado Libre > BIMachine
Cortex
Mercado Libre > Cortex
Data Studio
Mercado Libre > Data Studio
Geckoboard
Mercado Libre > Geckoboard
Grafana
Mercado Libre > Grafana
IBM Cognos Analytics
Mercado Libre > IBM Cognos Analytics
Klipfolio
Mercado Libre > Klipfolio
Looker Studio
Mercado Libre > Looker Studio
Looker
Mercado Libre > Looker
Looqbox
Mercado Libre > Looqbox
Metabase
Mercado Libre > Metabase
Microstrategy
Mercado Libre > Microstrategy
Pentaho
Mercado Libre > Pentaho
Power BI
Mercado Libre > Power BI
Qlik Cloud Analytics
Mercado Libre > Qlik Cloud Analytics
Qlik Sense
Mercado Libre > Qlik Sense
Qlik
Mercado Libre > Qlik
QlikView
Mercado Libre > QlikView
Redash
Mercado Libre > Redash
Superset
Mercado Libre > Superset
Tableau
Mercado Libre > Tableau
BI TOTVS
Mercado Libre > BI TOTVS
Zoho Analytics
Mercado Libre > Zoho Analytics

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Why Kondado?

Focus on extracting value from your data and leave the rest to us

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Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

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From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

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Predictable pricing

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Frequently Asked Questions (FAQ)

Answers about visualizing Mercado Libre data in Airtable automatically

How do I connect Mercado Livre to Airtable using Kondado? ▼
Start by adding Mercado Livre as a data source in your Kondado account and authenticate your store. Then choose Airtable as the destination, pick the pipelines you want to replicate, and set your update schedule. The connection runs through Kondado directly, so no intermediate database is needed.
What Mercado Livre information can I visualize in Airtable? ▼
You can replicate 19 pipelines with 716 fields, including Orders, Items: daily performance, Store: daily performance, Ads, and Items: stock. This means you can track sales, inventory, buyer details, and advertising metrics inside Airtable views that match your workflow.
How frequently does my Mercado Livre data update in Airtable? ▼
You choose the schedule that fits your business, with options ranging from every 5 minutes to daily updates. Kondado runs automated refreshes on that timetable, so your Airtable bases stay current without manual imports.
Can I build a sales performance dashboard in Airtable with this data? ▼
Yes. By combining the Orders, Items: prices, and Store: daily performance pipelines in Airtable, you can create views that show revenue trends, top products, and conversion patterns. You can also share these views with your marketing and operations teams for faster alignment.
Are there ready-made dashboards available for Mercado Livre data? ▼
Yes. Kondado offers a ready-made Mercado Libre Looker Studio Report that you can use immediately. You can also send data to Looker Studio directly, or build custom reports in Airtable and other destinations such as Power BI.
Can I share my Mercado Livre dashboards in Airtable with my team? ▼
Absolutely. Airtable makes it easy to share bases and views with teammates, so everyone from logistics to marketing can see the same numbers. You can set permissions by role and comment directly on records to coordinate next steps.
Do I need technical skills to replicate Mercado Livre data into Airtable? ▼
No coding is required. Kondado handles the data replication through a direct connection, and the setup is designed for business users. You simply select your pipelines, map them to Airtable, and define how often you want updates to run.
Can I send Mercado Livre data to tools other than Airtable? ▼
Yes. Besides Airtable, Kondado supports destinations such as Google Sheets, BigQuery, PostgreSQL, and Looker Studio, so you can use the same data source across multiple platforms.

Try out all the features for free for 14 days