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.
- What’s the def function?
- Create a custom defined function
- Import a custom module
- Set up and Run a Multi-functional Bot, for completing the whole process of outreaching a potential partner
- Full Python Script of Multi-functional Bot (ContactOut + Linkedin)
- Task-based Multi-functional Bot Options
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.
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)
- 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:
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
- Best Selling Products & Brands Scraper
- Competitor and Product Pricing Monitor
- Amazon SERP Product Scraper
- Post Photo & Video Scraper
- Automate Increasing Followers
- KOLs and Users’ Email Scraper
- Content Idea and KOL Profile Scraper
- Google Analytics Data Scraper via API
- Search Console Data Scraper via API
- SERP Data Scraper via API
- Google Trends Data Scraper via API
- Google Sheets Database Bot via API
Basic Python Knowledge
- Crontab – Schedule the application running in local
- Tkinter – GUI App
- Flask & Heroku – Web Application Development
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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.
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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.