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Python RPA Reviews

Vendor: Python RPA
4.2 out of 5
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What is Python RPA?

Python RPA leverages the power of Python to automate repetitive tasks and workflows, offering a flexible and scalable solution. It's designed for integration across business processes, aiming to enhance efficiency and operational productivity with its versatile capabilities.

Get the Robotic Process Automation (RPA) Buyer's Guide and find out what your peers are saying about Python RPA, UiPath Platform, Microsoft Power Automate and more!
Python RPA is the #14 ranked solution in best RPA tools. PeerSpot users give Python RPA an average rating of 8.4 out of 10. Python RPA is most commonly compared to UiPath Platform: Python RPA vs UiPath Platform. Python RPA is popular among the large enterprise segment, accounting for 67% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 18% of all views.
Buyer's Guide
Robotic Process Automation (RPA)
December 2025
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Helped 879,310 peers since 2012

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Python RPA mindshare

As of December 2025, the mindshare of Python RPA in the Robotic Process Automation (RPA) category stands at 1.6%, up from 1.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Market Share Distribution
ProductMarket Share (%)
Python RPA1.6%
Microsoft Power Automate14.5%
UiPath Platform14.2%
Other69.7%
Robotic Process Automation (RPA)
 
 
Key learnings from peers

Valuable Features

Python RPA offers strong automation capabilities, flexibility, and ease of integration. Users appreciate its ability to handle complex workflows, compatibility with various systems and tools, and the extensive library of pre-built modules. Its open-source nature allows for customization, while the active community support ensures continuous improvement and readily available resources. The intuitive design facilitates quick learning and efficiency in automating repetitive tasks.
  • "It's possible to use the solution with other tools. It's very agile."
  • "Keyword-driven automation has been beneficial in streamlining operations."
  • "Instead of writing multiple lines of code, we can do it in a single statement."

Room for Improvement

Python RPA experiences slow execution times and lacks comprehensive documentation. Users find it challenging due to limited integrations with other systems. Bugs in the scripts and an absence of real-time support contribute to frustration. Additionally, the learning curve is steep for beginners.
  • "It can be expensive to deploy a lot of models in the cloud, especially if there are large amounts of data."
  • "Support could be improved."
  • "When we call an API and there is an error, it doesn't tell you what the error is."

ROI

Python RPA significantly improved process efficiency, reducing manual effort by automating repetitive tasks. Users reported cost savings and faster turnaround times. Several noted a decrease in human error, enhancing the accuracy of their operations. A few highlighted an increase in productivity and better resource management. The integration with existing systems was seamless, and scalability allowed for broader application across various departments.

Pricing

Python RPA offers flexible pricing tailored to enterprise needs. Official pricing information remains undisclosed, but users highlight competitive rates, especially for larger implementations. Users report strong ROI and cost savings, with additional costs for customization and support. Licensing is typically annual, with scalable options based on bot usage and features.

  • "The tool is not expensive."
  • "I am using an open-source solution."

Popular Use Cases

Python RPA is primarily used for automating repetitive tasks and data processing. Users appreciate its ability to streamline workflows, enhance productivity, and minimize human error. It is noted for its easy integration with existing systems and flexibility in handling various automation scenarios. Python RPA is valued for its scripting capabilities and effective performance in office automation, including report generation and email management.

Service and Support

Customers note Python RPA's support team responds quickly and efficiently. They praise the team's helpfulness and expertise in resolving issues. Users mention that the customer service provides clear instructions and practical solutions. Python RPA receives high marks for being approachable and understanding user requirements. Feedback indicates that they make problem-solving easier and users appreciate the knowledgeable and friendly interactions. Some mention the guidance and follow-up from the support team as particularly valuable.

Deployment

Users find Python RPA's initial setup straightforward and manageable, appreciating its clear documentation and ease of integration. Some mention that while there is a learning curve, support resources are helpful. They feel that Python RPA's setup process is smooth and quick, enabling them to start automating tasks efficiently. Users express satisfaction with the minimal complexity involved in setting up Python RPA.

Scalability

Python RPA demonstrates excellent scalability, efficiently handling increasing loads and complex tasks. Users appreciate its ability to integrate seamlessly with existing systems and adjust to diverse business processes. Feedback highlights its flexibility and robustness, enabling large-scale automation projects while maintaining performance. It's praised for its adaptability in evolving environments and ease of scaling operations without compromising on speed or reliability. Users find it highly effective for extensive automation needs.

Stability

Python RPA offers robust stability, supporting complex automation tasks with high reliability. Users find it consistently performs well, even under heavy workloads. Though some notice occasional issues, regular updates enhance its performance. Technical support promptly addresses any complications, ensuring minimal downtime. Users appreciate its dependability for both small and large-scale operations. Python RPA effectively maintains consistent performance, making it a trusted choice for automation.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Robotic Process Automation (RPA) Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
12%
Government
6%
Computer Software Company
6%
Media Company
5%
Educational Organization
5%
Marketing Services Firm
5%
Non Profit
5%
Comms Service Provider
4%
Energy/Utilities Company
4%
Healthcare Company
4%
Outsourcing Company
3%
Transportation Company
2%
Construction Company
2%
Logistics Company
2%
Wholesaler/Distributor
2%
Legal Firm
2%
Insurance Company
2%
Recreational Facilities/Services Company
2%
University
2%
Hospitality Company
1%
Recruiting/Hr Firm
1%
Retailer
1%
Security Firm
1%
Performing Arts
1%
Sports Company
1%
Think Tank
1%
Engineering Company
1%
Pharma/Biotech Company
1%
Real Estate/Law Firm
1%

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Learn more about Python RPA

Python RPA is employed by businesses to streamline operations, reduce manual workload, and achieve cost savings. Combining Python's robust programming capabilities with automation, it appeals to companies looking to enhance their technology stack. Python RPA's strengths lie in its open-source nature that allows easy customization and a vast library of resources supporting automation tasks. This solution supports a wide range of applications, enabling seamless integration into existing systems and promoting innovation.

What are the key features of Python RPA?
  • Python Integration: Leverages Python’s extensive libraries for diverse automation tasks.
  • Open-Source Flexibility: Easily customizable to fit specific business requirements.
  • Scalable Architecture: Adaptable to both small and large scale operations.
  • Task Automation: Reduces manual workload across business processes.
What ROI should businesses expect from Python RPA?
  • Cost Efficiency: Decreases operational costs by automating repetitive tasks.
  • Increased Productivity: Frees up human resources for higher-value tasks.
  • Improved Accuracy: Reduces errors associated with manual processes.
  • Enhanced Scalability: Supports business growth without proportional resource increase.

Python RPA finds applicability in industries like finance for transaction processing, healthcare for patient record management, and manufacturing for supply chain automation. Its adaptability allows companies to fine-tune the tool to sector-specific challenges, ensuring that automation objectives align with business goals.

Python RPA customers

Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins

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Robotic Process Automation (RPA)

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Python RPA Reviews Summary
Author infoRatingReview Summary
Solutions Architect at MTN4.0I use Python RPA for test automation, specifically integrating with Jenkins and release pipelines. Its keyword-driven automation and error handling are beneficial, though support needs improvement. We switched from Micro Focus to save costs, and it helps our customers do the same.
Co - Founder & Chief Data Officer -CDO at Data3604.0In my team, we use Python RPA for constructing statistical models and predictive analytics, finding it agile and adaptable. However, improvements are needed in deep learning for security predictions. We've achieved a 40% ROI with this tool.
Full-Stack Python Developer at Optisol4.5I used Python RPA to transfer data between applications, appreciating its ease of package import and integration capabilities, allowing complex actions in single statements. However, API error feedback needs improvement as it doesn't specify the issue.