Python Robotic Process Automation – Def Functions, Import Custom Modules to Create a Multi-functional Bot

Robotic process automation, or RPA is not only a technology, but also it’s a vital mindset to think of how to leverage bots that can do things like understand what’s on a screen, complete the right keystrokes, navigate systems, identify and extract data, and perform a wide range of defined actions. In Python, the def function is one of the key components to deploy, and create multi-functional bot to complete a whole process of task. So this is why the article is about today.

Def function basically is for developers and growth hackers to create and build custom functions, features to increase the script running efficiency. What’s more, it’s a great way to manage the script to avoid wastes and duplicates along with the project going bigger.

In this Python automation tutorial, I will walk you through what the basic components def functions offer, and how to use them to create a custom function. Eventually, you can learn how to create a task-based bot to complete a whole process of a job. It will take the outreach potential partners for the example.

Python Automation – What’s the def function

In Python, a function is a group of related statements that performs a specific task. For example, if we import the request module, it has a function called get(), which we use to interact with API endpoints or visit a website.
Also, functions help break our program into smaller and modular pieces instead of putting all modules into one script. As our program grows larger and larger, functions make it more organized and manageable. Furthermore, it makes code reusable and deducts duplicates.

Def is a keyword to define a custom function. You can create a function named by yourself, and combine features to finish a specific task.

For example, here I define a function called contactOut() by using def contactout( ). Within the function, there are positional arguments and parameters. I would talk more in a moment about how to use them. Basically, it’s a defined function to complete the specific brand key decision makers’ contact collection. The data includes her or his Linkedin profile URL, email, phone number. So once you import the module including this function, you just need to use contactOut() with updating the parameters you like to narrow down the scraping goal.

Python Automation – Create a custom defined function

One of the most popular reasons to use the def function is to better manage variables. Take the contactOut bot for example (I will have another article regarding contactOut bot). Basically, you need to input the location, company or brand name, data collection file name, or where to upload in Google sheet).

These are the variables that you need to customize later on in the multi-functional bot script.

def contactOut(location,company,fileName,GoogleCell):

You can name the variables in the related positional arguments you set in the defined functions. And the variables sit in different places, within the def function. It’s all up to you how to use them based on the specific tasks.

Then, input the value in the positional argument when you like to use the defined function to generate specific data or complete an action.

Import a custom module

In Python, a module is a single unit of Python code that you can import externally. It’s as well as you import the panda module after installation. A module can contain definitions like functions and constants, as well as statements that initialize those definitions. Like all other Python scripts I shared before, basically, they can be a module. It’s based on your needs and how they can be functioning based on your design. Module is reusable and a better way to organize and manage.

A common way to create a Python module is to create a file with a filename that ends in .py, and write the module code in there. Then the other common way to import the module is saving the module file in the same directory with your new multi-function Python script.

Eventually, you can import the module by using the file name, like import BotModules I use here.

Set up and Run a Multi-functional Bot, for completing the whole process of outreaching a potential partner

One of the most important to build a good multi-functional bot is to break down the flow simply and clearly first, instead of drilling down the technical part.

In terms of outreaching a potential partner, basically here is the flow:

  • Target brand or company name
  • Target key decision maker’s geographic
  • The saving path of the scrapable contact data (Linkedin profile, email, phone number)
  • Automatically outreach approach (For example Linkedin bot)
  • Custom the outreach message

Based on this flow, it can tell you what ingredients are needed:

Must-have main course:

  • Data Contact bot, such as contactOut bot
  • Linkedin bot (Custom messages)

Variable Value

  • List of brand name
  • Brand location

If the logic is ready, you can import the module and start writing the codes. For using the def functions from the imported modules, the format usually is like this:

ModuleName.defFunction name

For example, I create three def functions in this multifunction bot. contactOut() is for scraping the specific brand contact data, such as linkedin, email, phone number.

linkedinLogin() is for logging in the Linkedin account

linkedinNewAdds() is for adding the potential partners and custom the notes

Eventually, it just has a few lines of codes, and you can complete the whole process of outreaching potential partners automatically by clicking a button. That’s easy!

Full Python Script of the Multi-functional Bot

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Task-based Multi-functional Bot

If you have any practical ideas of creating a new multi-functional bot by referring these functions a listed below for the marketing and data scraping purpose, please subscribe to our newsletter by adding the message “Python RPA”. We would come back to you very soon!

Financials & Stock Bot

Linkedin Bot – Automate adding new connections and 1on1 messagings

Douyin Bot – Content idea and KOL profile scraper

Taobao Bot/Tmall Bot – eCommerce Product Data Scraper

Kickstarter Bot – Best Crowdfunding Projects & Brands Scraper

Indiegogo Bot – Scrape the most crowdfunded projects

Amazon Bot 

Instagram Bot

Google Bot

Youtube Bot

Shopify Bot

Basic Python Knowledge

Python Application

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Q1: What is Robotic Process Automation?

A: Robotic Process Automation (RPA) is a technology that uses software robots, also known as bots, to automate repetitive tasks and streamline business processes.

Q2: How can Robotic Process Automation benefit my eCommerce business?

A: Implementing Robotic Process Automation in your eCommerce business can lead to increased efficiency, reduced human error, improved customer experience, and cost savings.

Q3: Are there any specific tasks in eCommerce that can be automated using RPA?

A: Yes, RPA can automate tasks such as order processing, inventory management, data entry, customer support, and report generation in the eCommerce industry.

Q4: Is Robotic Process Automation compatible with my existing eCommerce platform?

A: Robotic Process Automation can be integrated with most major eCommerce platforms, including Shopify, Magento, WooCommerce, and BigCommerce.

Q5: How can I get started with implementing Robotic Process Automation in my eCommerce business?

A: To get started with RPA, you can consult with a professional RPA service provider who will assess your business needs and help you design and implement an automation strategy.

Q6: Will implementing Robotic Process Automation eliminate the need for human employees in my eCommerce business?

A: No, RPA is not meant to replace human employees but rather to augment their capabilities and free up their time from repetitive tasks, allowing them to focus on more strategic and value-added activities.

Q7: How secure is Robotic Process Automation in terms of protecting sensitive customer data?

A: Robotic Process Automation follows strict security protocols and can be configured to handle sensitive customer data securely. It is important to work with an experienced RPA provider to ensure data protection and compliance with privacy regulations.

Q8: Can Robotic Process Automation help in improving the accuracy of order fulfillment in my eCommerce business?

A: Yes, RPA can significantly improve order fulfillment accuracy by automating tasks such as order verification, inventory synchronization, and shipping label generation, reducing the chances of errors and delays.

Q9: What is the typical ROI (Return on Investment) of implementing Robotic Process Automation in eCommerce?

A: The ROI of implementing Robotic Process Automation in eCommerce varies depending on factors such as the complexity of processes automated, the volume of transactions, and the efficiency gains achieved. However, studies have shown that businesses can achieve ROI within months of implementing RPA.

Q10: Can Robotic Process Automation be customized to fit the specific needs of my eCommerce business?

A: Yes, Robotic Process Automation can be customized to fit the specific needs of your eCommerce business. Professional RPA service providers can tailor the automation solutions to align with your unique business processes and requirements.