No-code pipeline · ASAAS → MySQL

Send data from ASAAS to MySQL

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

Replicate ASAAS Data to MySQL on Your Schedule

Kondado provides a direct integration between ASAAS and MySQL, allowing you to replicate your financial data automatically without writing code. Simply connect your ASAAS account as a data source, select MySQL as your destination, and choose which pipelines you need. The platform handles the data extraction and loading on a configurable schedule, ensuring your database stays current with your latest payment and client information. Whether you need near-real-time updates every five minutes or daily summaries, Kondado synchronizes your ASAAS data seamlessly into your MySQL database. Once configured, your financial data flows continuously into structured tables ready for analysis and reporting.

Kondado replicates ASAAS Clients and Payments data to MySQL automatically on a configurable schedule ranging from every 5 minutes to daily, requiring no coding or manual API configuration.

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

Available ASAAS Pipelines for MySQL

With the Clients pipeline, you can analyze customer demographics and track CPF/CNPJ information alongside geographic distribution to segment your market effectively and identify regional sales trends. The Payments pipeline delivers comprehensive transaction data including payment dates, values, statuses, and billing types directly into your MySQL database, enabling detailed cash flow analysis. By having both datasets available in MySQL, you can build custom SQL queries to calculate customer lifetime value, monitor payment delinquency rates, and create automated financial reports that update on your preferred schedule. Connect your MySQL data to Power BI or Looker Studio to visualize these insights.

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Replicated to MySQL

ASAAS data available for MySQL

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

2
available pipelines
128
extractable fields
MySQL
Destination

Available integrations

Clients
Table contains information about clients, including fields such as name, email, and CPF/CNPJ, along with details like city and state.
Payments
Table presents payment data, with fields such as payment date, value, status, and billing type, along with information on discounts and interest.

Try out all the features for free for 14 days

How to send ASAAS data to MySQL

Sync data automatically — no code, no manual exports.

1
Connect Your ASAAS Account

Add ASAAS as a data source by entering your API credentials in the Kondado interface to establish the initial connection.

2
Configure MySQL Destination

Enter your MySQL host, database name, and authentication details to designate where your ASAAS data should be replicated.

3
Select Pipelines and Schedule

Choose the Clients and Payments pipelines you want to replicate and set your update frequency from every 5 minutes to daily.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
arezzo
brf
Contabilizei
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Experian
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inpress
multilaser
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unimed
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yooper

Send data from ASAAS to other destinations

Choose a tool to visualize your ASAAS 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 ASAAS data to MySQL automatically

What specific ASAAS data can I replicate to MySQL?
Kondado offers two distinct pipelines for ASAAS: Clients and Payments. The Clients pipeline includes 128 fields covering names, emails, CPF/CNPJ, cities, and states, while the Payments pipeline contains transaction details like dates, values, statuses, billing types, discounts, and interest calculations. Both datasets arrive in MySQL as structured tables ready for immediate querying.
How frequently can I update ASAAS data in MySQL?
You can configure replication schedules ranging from every 5 minutes for near-real-time monitoring to daily updates for periodic reporting. This flexibility allows you to balance data freshness with system resources based on your specific business intelligence needs and operational requirements.
Can I combine ASAAS data with other business sources in MySQL?
Yes, you can replicate data from additional sources into the same MySQL database to create unified datasets. Consider combining ASAAS financial data alongside information from PostgreSQL or BigQuery to build comprehensive reports that connect payments with inventory or marketing metrics.
What format does ASAAS data take once in MySQL?
ASAAS data arrives as normalized relational tables with properly typed columns corresponding to the original API fields. The Clients and Payments pipelines maintain consistent schemas that support standard SQL operations, allowing you to perform joins, aggregations, and complex analytical queries directly on your financial data.
Do I need technical skills to set up ASAAS to MySQL replication?
No coding is required to establish the connection or maintain ongoing replication. Kondado handles the API authentication, data transformation, and schema management automatically, enabling analysts and business users to configure pipelines through a visual interface without writing SQL or Python scripts.
Can I visualize ASAAS data stored in MySQL?
Absolutely, MySQL serves as an excellent backend for business intelligence tools. Connect your database to Power BI, Looker Studio, or Google Sheets to create custom dashboards that display payment trends, client acquisition metrics, and cash flow analyses that refresh automatically on your configured schedule.
How do I start sending ASAAS data to MySQL?
Begin by adding ASAAS as a data source in your Kondado account and authenticating with your API credentials. Next, configure your MySQL connection parameters including host, database, and user credentials. Finally, select the Clients and Payments pipelines you wish to replicate and set your preferred update interval to activate automated data flow.

Try out all the features for free for 14 days

Try out all the features for free for 14 days