No-code pipeline · Pagar.me → MySQL

Send data from Pagar.me to MySQL

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From Pagar.me to MySQL: managed, scheduled, no code.

Kondado provides a direct integration between Pagar.me and MySQL, replicating payment data through eight automated pipelines including Customers, Charges, Orders, and Receivables on a configurable schedule ranging from every five minutes to daily.

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Send Pagar.me Data to MySQL Automatically

Sending Pagar.me data to MySQL requires no coding or manual exports when using Kondado’s data platform. You connect your Pagar.me account as a data source, select MySQL as your destination, and choose which pipelines to activate from the eight available options covering customers, payments, and financial operations. The platform handles the schema creation and data transfer automatically based on your chosen schedule, eliminating the need for technical maintenance or API management.

Once your pipelines are active, your MySQL database contains fresh Pagar.me records ready for analysis through SQL queries or connected business intelligence tools. You can combine transaction data with other sources to build comprehensive financial reports that update automatically without manual intervention, enabling your team to track conversion rates, monitor receivables aging, and analyze customer payment behaviors using familiar SQL syntax.

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The Customers pipeline delivers comprehensive profile information including contact details and addresses directly into your MySQL database, enabling you to segment buyers by region or analyze customer lifetime value using standard SQL queries. Combined with the Charges pipeline, which captures transaction amounts, dates, and status updates, you can build automated reconciliation workflows that match payments to customer records without manual spreadsheet work.

For finance teams tracking cash flow, the Receivables pipeline provides due dates, amounts, and settlement status that feed directly into liquidity forecasts and aging reports built in MySQL. You can join this data with the Orders pipeline to correlate sales volumes with expected incoming funds, creating dynamic dashboards that refresh automatically as Pagar.me processes new transactions throughout the day.

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Replicated to MySQL

Pagar.me data available for MySQL

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

available pipelines

344

extractable fields

MySQL

Destination

Available integrations

Customers

Includes information such as customer name, email, and status, along with address and phone data like area code and number.

Customers: Cards

Records card details including brand, expiration date, and status, along with cardholder name and card digits.

Customers: Addresses

Contains address data such as city, state, and country, along with creation date and address status.

Charges

Includes information on charges made, such as amount, date, and status, along with details of the associated customer.

Balance Operations

Records operations related to balance, including operation type, amount, and transaction date.

Orders

Contains details of orders placed, such as total amount, status, and creation date, along with customer information.

Recipients

Includes information about recipients, such as name, document, and status, along with creation and update data.

Receivables

Contains information about receivables, including amount, due date, and status, along with details of the associated customer.

See all available data → Send Pagar.me to MySQL →

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How to send Pagar.me data to MySQL

Sync data automatically — no code, no manual exports.

Connect Your Pagar.me Account

Log into Kondado and add Pagar.me as a data source by entering your API credentials. The platform validates your connection and retrieves the available pipelines including Customers, Charges, and Receivables.

Set Up MySQL Destination

Enter your MySQL connection details including host, database name, and authentication credentials to establish the destination. Kondado tests the connection to ensure it can create the necessary structures for storing your Pagar.me payment data.

Choose Pipelines and Schedule

Select which of the eight Pagar.me pipelines to activate, such as Orders or Balance Operations, then set your preferred update interval from five minutes to daily. Once saved, Kondado begins the automated replication process and maintains your MySQL database with fresh transaction records.

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Send data from Pagar.me to other destinations

Pagar.me > Looker Studio

Pagar.me > Power BI

Other visualizations

Pagar.me > Amazon S3

Pagar.me > BigQuery

Pagar.me > Excel

Pagar.me > Google Sheets

Pagar.me > MySQL

Pagar.me > PostgreSQL

Pagar.me > Redshift

Pagar.me > SQL Server

Choose a tool to visualize your Pagar.me data

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

Pagar.me > Airtable

Pagar.me > Alteryx

Pagar.me > Amazon Quicksight

Pagar.me > BIMachine

Pagar.me > Cortex

Pagar.me > Data Studio

Pagar.me > Geckoboard

Pagar.me > Grafana

Pagar.me > IBM Cognos Analytics

Pagar.me > Klipfolio

Pagar.me > Looker Studio

Pagar.me > Looker

Pagar.me > Looqbox

Pagar.me > Metabase

Pagar.me > Microstrategy

Pagar.me > Pentaho

Pagar.me > Power BI

Pagar.me > Qlik Cloud Analytics

Pagar.me > Qlik Sense

Pagar.me > Qlik

Pagar.me > QlikView

Pagar.me > Redash

Pagar.me > Superset

Pagar.me > Tableau

Pagar.me > BI TOTVS

Pagar.me > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Pagar.me data to MySQL automatically

How do I connect Pagar.me data to MySQL using Kondado? ▼

Start by adding Pagar.me as a data source in your Kondado account using your API credentials, then select MySQL as the destination. Choose which of the eight available pipelines to activate, configure your update schedule, and the platform begins replicating your payment data automatically without requiring additional technical setup.

What specific Pagar.me information gets stored in MySQL? ▼

You can replicate data through eight pipelines including Customers with contact details, Charges containing transaction amounts and status, and Receivables tracking settlement dates. The 344 available fields cover everything from card brands and billing addresses to balance operations and order totals, allowing comprehensive payment analysis within your database.

How frequently does my Pagar.me data refresh in MySQL? ▼

You set the replication interval when configuring your pipelines, with options ranging from every five minutes for near-real-time monitoring to daily updates for periodic reporting. This configurable schedule ensures your financial dashboards display current transaction volumes while controlling the processing load on your MySQL server.

Can I merge Pagar.me data with information from other platforms in MySQL? ▼

Yes, Kondado enables you to replicate data from multiple sources into the same MySQL database alongside your Pagar.me pipelines. You can join payment records with customer support tickets, inventory levels, or marketing campaign data using standard SQL joins to create unified business intelligence views.

Does Pagar.me data arrive in MySQL ready for SQL queries? ▼

Kondado structures the data in relational format with appropriate data types for dates, currencies, and status fields, making it immediately queryable. You can calculate metrics like monthly recurring revenue or days sales outstanding using standard SQL without preprocessing raw JSON or handling API pagination manually.

Can I visualize Pagar.me data stored in MySQL? ▼

Once replicated to MySQL, you can connect your database to Power BI, Looker Studio, or Google Sheets to build charts and dashboards. This architecture keeps your data centralized in MySQL while enabling stakeholders to view payment trends through familiar visualization tools.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days