Learners will design, implement, and evaluate an end-to-end RPA solution for social media monitoring, automating account creation, profile management, engagement tracking, and marketplace analysis. By the end of this course, learners will be able to apply data-driven automation techniques, securely manage credentials, and extract actionable insights from likes, comments, reviews, and visual content across social platforms.
Implement RPA Bots for Social Media Monitoring
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Design and implement an end-to-end RPA bot for social media monitoring and automation tasks.
Automate data extraction and analysis of likes, comments, reviews, and engagement metrics securely.
Build reliable, production-ready RPA workflows using Excel data sources and dynamic UI interactions.
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
February 2026
Assessments
8 assignments
Taught in English
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There are 2 modules in this course
This module introduces learners to the end-to-end RPA project for social media monitoring by establishing a strong automation foundation. Learners explore project objectives, process design principles, and task documentation techniques before building scalable account creation and login workflows. Emphasis is placed on data-driven automation using Excel, secure credential handling, and validation-driven design to ensure reliable and maintainable bots.
What's included
8 videos4 assignments
This module focuses on automating social media engagement, content handling, and analytics using RPA bots. Learners automate profile setup, image uploads, brand searches, and engagement tracking while capturing actionable insights from likes, comments, and reviews. The module concludes with advanced automation techniques that integrate marketplace analysis and visual content automation for comprehensive social media monitoring.
What's included
8 videos4 assignments
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