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BotFarm vs Python RPA comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

BotFarm
Ranking in Robotic Process Automation (RPA)
16th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
37
Ranking in other categories
No ranking in other categories
Python RPA
Ranking in Robotic Process Automation (RPA)
15th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Robotic Process Automation (RPA) category, the mindshare of BotFarm is 1.0%, up from 0.3% compared to the previous year. The mindshare of Python RPA is 1.0%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Python RPA1.0%
BotFarm1.0%
Other98.0%
Robotic Process Automation (RPA)
 

Featured Reviews

reviewer2797908 - PeerSpot reviewer
Senior Rpa Consultant at a computer software company with 51-200 employees
Automation has streamlined client data extraction and has improved reporting for business decisions
I work as a developer, and my manager is responsible for the research and analytics for the project with the client and business users. I am satisfied with BotFarm. I would rate my experience with BotFarm an eight out of ten. I do not see any room for improvement for BotFarm. I am using AI tools such as Amazon, Microsoft Azure, and ChatGPT. I am not using AI-powered bots in BotFarm. I am a partner with Automation Anywhere.
Natalia  Raffo - PeerSpot reviewer
Co - Founder & Chief Data Officer -CDO at Data360
Robust and good for data processing while being helpful for building data science use cases
The processing of data is good. We can use many different types of data, including images and videos. We can use different libraries to do better preprocessing of different types of data. We can do different models in recommendation systems for things like videos and sales strategy. We can do language processing or sentiment analysis to predict things for our clients. We can design and develop machine learning applications that can predict events. We can use these on libraries to solve complex problems when we have a lot of data. It's possible to use the solution with other tools. It's very agile. In the financial advisory and portfolio management space, several budget management applications are now available in the market. These have machine learning based functionality. In Python, I use different machine learning algorithms to enable customers to keep track of their expenses and provide recommendations on better savings. These are machine learning algorithms that customize financial portfolios by looking at income rate tolerance and preferences, et cetera.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"BotFarm is an easy solution to use and the interface is better than older versions."
"Last year I faced a problem and, subsequently, raised a ticket, and the support team is great and they helped me to resolve the issue within three or four days."
"I use it in my client project to extract data and communicate it for business purposes."
"The most valuable feature is the rapid deployment of multiple bots."
"The system is stable and very little maintenance is required, assuming the bots process is perfectly designed."
"Overall, this is a pretty good product and nobody else in the market is providing RPA at this level."
"There is at least a five or ten times reduction in the amount of time, and more people are free to do something else."
"Productivity increased far more than thirty percent."
"Keyword-driven automation has been beneficial in streamlining operations."
"Instead of writing multiple lines of code, we can do it in a single statement."
"It's possible to use the solution with other tools. It's very agile."
 

Cons

"It is too expensive and not worth the price."
"The solution automation is incapable of interacting with our Pega software application development. It is based on the nested table concept and it is unable to read these tables. Several projects have been put on hold because of that."
"The solution automation is incapable of interacting with our Pega software application development. It is based on the nested table concept and it is unable to read these tables."
"The tool must execute remedial actions to resolve problems before they cause significant incidents."
"Although I like the OCR technology, it could still be further improved."
"BotFarm newer version has been difficult to install, we have been in contact with the support on this matter."
"Sometimes I feel like it doesn't work properly and we are not able to provide the dexterity needed."
"We have connectivity and integration with pretty much every single tech stack across the table that we have in the world, and there are a few areas that they don't do that well yet."
"It can be expensive to deploy a lot of models in the cloud, especially if there are large amounts of data."
"When we call an API and there is an error, it doesn't tell you what the error is."
"Support could be improved."
 

Pricing and Cost Advice

"I think payment can vary but it's a re-occurring fee that needs to be paid every year."
"We are on an annual license for the solution and is priced well."
"Licenses are paid on a yearly basis and the cost is quite high."
"Its price is quite high as compared to other solutions, but it has a lot of features and good stability. They should reduce its price."
"Our licensing costs are approximately $3,000 USD annually."
"It is too expensive and not worth the price."
"The starter price is free."
"The product is slightly expensive"
"The tool is not expensive."
"I am using an open-source solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Construction Company
18%
Outsourcing Company
9%
Marketing Services Firm
7%
Financial Services Firm
14%
Manufacturing Company
12%
Construction Company
8%
Marketing Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise14
Large Enterprise18
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for BotFarm?
Licensing and other pricing matters are handled by my manager, so I am not able to fully describe the price and licensing. Automation Anywhere provides partner licenses free for six months and also...
What needs improvement with BotFarm?
More detailed error handling would be beneficial, especially since the AI feature was recently added.
What is your primary use case for BotFarm?
I use it in my client project to extract data and communicate it for business purposes. I summarize the data, and when a customer talks about their details, I extract the data from that point in th...
What needs improvement with Python RPA?
I've worked with file detection for secure transactions. I use a machine learning model to predict events related to security transactions by predicting possible routes in advance. They need to imp...
What is your primary use case for Python RPA?
In our team, we construct different statistical models to resolve things for clients. We do modelling and segmentation to determine a customer's lifetime value. We do deep learning and protective a...
What advice do you have for others considering Python RPA?
We're just a customer. It's a good tool. It's easy. I can use it in many different ways and for many different use cases. I'd recommend the product for data science use cases. It is a robust tool a...
 

Comparisons

 

Overview

 

Sample Customers

Cisco, CocaCola Bottlers Japan, Macy's, Whirlpool, Unilever
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about BotFarm vs. Python RPA and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.