Robotic Process Automation (RPA) has been a powerful tool for automating repetitive tasks and streamlining workflows. However, traditional RPA often operates in silos, requiring dedicated platforms and separate deployments. This can make integration with existing applications and systems challenging.
Enter rpa.do – a platform designed to revolutionize how you access and utilize RPA. By offering RPA capabilities as simple API calls and SDK functions, rpa.do is making automation a seamless part of your software development workflow.
rpa.do takes RPA to the next level with its AI-powered approach. Instead of just following rigid rules, rpa.do leverages intelligent agents that can:
This means you can automate more complex and less predictable processes, unlocking new levels of efficiency and capability within your business.
One of the most significant advantages of rpa.do is its "business-as-code" approach. Imagine treating business processes like software components that you can simply invoke with a line of code. With rpa.do, this is a reality.
You can define and execute workflows using familiar programming languages and development environments. This bridges the gap between business operations and IT, allowing teams to collaborate more effectively and build automation directly into their applications.
The core of rpa.do's innovation lies in its developer-friendly API and SDK. This allows you to:
Here's a simple example using TypeScript to demonstrate how easy it is to use the rpa.do SDK to extract data from a webpage:
const rpaAgent = new Agent('rpa.do');
interface DataExtractionInput {
url: string;
selector: string;
}
interface DataExtractionOutput {
extractedData: string[];
}
const extractedData = await rpaAgent.do<DataExtractionInput, DataExtractionOutput>({
action: 'extractDataFromWebpage',
input: {
url: 'https://example.com',
selector: '.product-title'
}
});
console.log(extractedData);
This snippet illustrates how you can invoke a powerful data extraction agent with minimal code, treating 'extractDataFromWebpage' simply as an API call.
With rpa.do, you can automate a wide range of processes, including:
rpa.do represents a significant shift in how we think about and implement robotic process automation. By making RPA capabilities accessible through simple APIs and SDKs, it empowers developers and business users alike to build more intelligent, integrated, and scalable automation solutions.
Ready to experience the future of RPA integration? Explore the power of rpa.do's API and SDK and see how you can automate anything, simply.
What is rpa.do?
rpa.do is an AI-powered platform that transforms traditional Robotic Process Automation (RPA) capabilities into simple API calls and SDK functions. It allows you to integrate intelligent automation directly into your applications and workflows, treating business processes as code.
How does AI enhance RPA with rpa.do?
AI agents on rpa.do go beyond simple rule-based automation. They can handle unstructured data, adapt to changes, make intelligent decisions based on context, and learn over time, making your automation more robust and capable of handling complex scenarios.
What kind of processes can I automate with rpa.do?
You can automate a wide range of repetitive and rule-based processes, including data entry and migration, web scraping, report generation, form filling, system integrations, and interacting with legacy applications – all powered by intelligent agents.
How do I integrate rpa.do into my existing systems?
Integrating with rpa.do is designed to be straightforward. You can integrate by making simple API calls directly from your existing applications or by using our developer-friendly SDKs in your preferred programming language.
How is rpa.do different from traditional RPA tools?
Unlike traditional standalone RPA tools, rpa.do provides RPA capabilities as simple APIs and SDKs, enabling seamless integration into software development workflows. Our agentic AI approach allows for more intelligent, adaptable, and scalable automation that can be invoked programmatically as 'business-as-code' or 'services-as-software'.