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Morgan Thomas
Morgan Thomas

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Master the Art of Scraping: Step-by-Step UiPath Tutorial for Facebook Posts

Ever since I dove into the world of automation with UiPath, I've found numerous ways to simplify tasks that seemed daunting at first. One such task was scraping Facebook posts. The need arose when I wanted to gather insights from conversations on a Facebook page, a request from a client who was keen on analyzing customer feedback. Today, I'll share how I tackled this challenge, hoping it'll serve as a stepping stone for anyone looking to do the same.

Getting Started

Initially, I thought scraping Facebook messages would be straightforward. I logged into Facebook, navigated to the desired page, and selected the conversations. It seemed like smooth sailing until I realized I needed to extract messages from each conversation separately and compile them into an Excel file. This task was more nuanced than I anticipated, and I needed a strategy.

The Approach

After some research and trial and error, I realized that UiPath offers tools that could significantly simplify this process. Here's how I approached the task, broken down into steps:

  1. Navigating to the Conversation: The first challenge was to reach the inbox of the Facebook page and select the conversations. This was crucial since the actual scraping would happen from these messages.

  2. Scraping the Messages: I needed to extract messages from both users and page admins separately. This required identifying the unique elements of the messages to differentiate between the two parties.

Screenshot of Facebook messages

As illustrated in the screenshot, I aimed to scroll up in the messages div till the first message, ensuring I capture the entire conversation.

  1. Using Facebook's API: A helpful suggestion came from NIVED_N on the UiPath forum, who recommended exploring Facebook API calls to extract messages. Though it veered a bit from pure UiPath scripting, integrating these API calls proved valuable in efficiently accessing the data.

Challenges and Solutions

One major hurdle was dynamically navigating through the conversations. Facebook's interface doesn't always play nicely with automation scripts, given its evolving structure and heavy reliance on JavaScript. To circumvent these issues, I combined UiPath’s data scraping capabilities with strategic pauses and element checks to ensure the automation didn't break amidst Facebook's unpredictable loading times.

The Outcome

After much tinkering, the solution began to take shape. I was able to scrape messages, segregate them based on the sender, and compile them into an Excel sheet for further analysis. The process, once manual and time-consuming, was now automated, saving hours of labor and minimising errors.


Scraping Facebook posts using UiPath might seem daunting at first, but with the right approach, it's not only feasible but also quite rewarding. The journey taught me the value of persistence and the power of community forums like UiPath's, where sharing knowledge can turn challenges into collective triumphs. Whether you're looking to gather customer feedback, analyze market trends, or simply back up conversations, automation via UiPath offers a robust solution. Happy Automating!

Remember, this tutorial was crafted based on my experience and guidance from the UiPath community. Specific steps might need adjustments based on updates to the Facebook interface or UiPath's capabilities. Always consider the ethical and legal implications of scraping data and ensure compliance with Facebook's terms of service.

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