On LinkedIn, posts serve as a way to communicate updates, ideas, insights, and industry news with one’s professional network. Like other social media, you can learn expertise and the latest news from these posts. Meanwhile, analyzing how other LinkedIn users feel and react to this content can tell a lot. In this post, we’ll dig into workflow automation and figure out how to automate the extraction of LinkedIn post likers.
Workflow Automation 101
At its core, workflow automation streamlines repetitive tasks and processes, freeing up valuable time and resources. It involves using technology to execute a series of pre-defined actions, triggered by specific events. You can think of it as creating a digital assembly line for your business operations. From simple tasks like automated email responses to complex multi-step processes like invoice approvals, workflow automation can eliminate manual intervention, reduce errors, and improve efficiency. Ultimately, automation empowers businesses to operate more intelligently, consistently, and scalably.
What is Post Liker on LinkedIn
When you read a post on LinkedIn and engage with it by clicking the “Like” button, you can be considered a post-linker on LinkedIn. Also, users who click LinkedIn’s other reaction options, such as “Celebrate,” “Support,” “Love,” “Insightful,” or “Funny” under posts are likers as well. All these reactions are a form of engagement, indicating that the content resonates with the user group in some way, whether it’s informational, inspiring, or entertaining. At the same time, for companies or individuals who post content on LinkedIn, post-linkers contribute to enhancing their presence on the platform and fostering professional relationships.
Why Automate Extracting LinkedIn Post Likers
As one of the most powerful professional networking platforms, millions of active users engage in discussions and share content on LinkedIn. The “Like” or reaction to a post is one of the most straightforward forms of engagement, which not only signifies approval but also boosts the visibility of your content in the LinkedIn feed. With workflow automation for extracting LinkedIn post likers, you can leverage this engagement to its full potential and modify your strategy for improving lead generation, enhancing audience segmentation, and increasing engagement.
Streamline lead generation
For businesses and sales professionals, LinkedIn is a goldmine for lead generation. When someone likes your post, it typically means they’re interested in the topic you’ve shared. With LinkedIn Liker Scraper, you can quickly build a list of individuals who have shown interest in your content and then prioritize outreach to these users based on their engagement. Workflow automation, in this term, allows for personalized outreach, increasing the likelihood of turning those engaged individuals into potential clients or partners.
Segment audience with better data
Automating the extraction of LinkedIn post likers also offers valuable data about who is engaging with your content. After analyzing who engages with your posts over time, you can uncover patterns that help refine your audience segmentation strategy. For example, suppose you frequently share content on leadership development and find that many of your post-linkers are HR professionals or senior managers. In that case, you can tailor future content and messaging specifically for this group. Similarly, if your content appeals to a particular industry or role, automation can help you track this and adjust your strategy accordingly. Compared with manually compiling data or making assumptions based on anecdotal evidence, this method is more efficient with no doubt.
Increase engagement and post reach
On most social media platforms, algorithms tend to promote content that receives engagement, and so does LinkedIn. When a post gets a significant number of likes, shares, or comments, it’s more likely to appear in the feeds of others, because engagement signals to LinkedIn that the content is valuable and worth spreading. You can monitor which posts are driving the most engagement by scraping likers and applying such data to create more targeted content for specific audience groups. For instance, if a particular type of post – like an infographic, video, or article – consistently generates a lot of likes, you can prioritize producing similar content in the future.
Save time and effort
Manually extracting LinkedIn post likers is time-consuming, especially if you regularly post content and receive multiple interactions. It can take hours to go through your posts, collect data, and track each person who engaged with your content. Automation tools simplify data gathering, enabling you to quickly compile a neat and organized list of individuals who engaged with your post. As a result, you can free up valuable time and energy that could be better spent on other strategic tasks, such as creating new content or engaging with your network in other ways, especially when your posts start reaching a more diverse audience.
How to Automate LinkedIn Post Likers Exporting
To automate the process of extracting LinkedIn post likers, you need the help of workflow automation tools. Octoparse AI is a drag-and-drop solution that allows anyone to build a workflow with no code. It also offers a list of ready-to-use automation apps for diverse purposes.
LinkedIn Post Likers Export is a preset application for collecting detailed data on users who have left “Like” under a specified LinkedIn post via post URLs. You can find it on the Octoparse AI App Store. In the following part, we’ll walk you through how to grab LinkedIn liker data using this solution.
Step 1: Install Octoparse AI and browser extension
If you’re new to Octoparse AI, download Octoparse AI for FREE and install it on your device first. Next, create a new account or use an existing Google/Microsoft/Apple account to log in. Then, click your account avatar in the top right, and select Tools > Extensions to install browser extensions based on the browser you plan to run the application.
Tips:
Octoparse AI now offers several options for must-use browsers. To ensure the App can run properly on your computer, please install a corresponding browser plugin before launching the App.
Step 2: Obtain the App LinkedIn Post Liker Export
Go to the App Store, and search LinkedIn Post Liker Export in the search bar. Then, click “Try this app” to get the App and add it to the Project section. Or, you can get the App in the Online App Store and allow your browser to open Octoparse AI.
Step 3: Input required parameters
Click the “Run the app now” icon under the Action column. After that, the window “Run parameter settings” will show up and require you to input all required parameters and some optional parameters.
Tips
1. For PostUrl, please collect post URLs (up to 10 posts per workday) and format them into an Excel file as the image shows below.
2. For AdsPowerProfileId, if you’re using AdsPower, please open a profile first and enter its ID into the bar.
Step 4: Launch the App and get exported LinkedIn post liker data
Double-check all the parameters you entered, and click “Run application” to run the exporter. To monitor the running status, please check the Run Process Alert box in the bottom right. While the App is processing, the box will tell when the workflow is complete or an error occurs.
After the task is completed, you can find the document of exported data in the designated storage path you selected in Step 3. Then, you can get a dataset of information for each user who has reacted to the LinkedIn posts, including profile URL, full name, occupation, connection degree, reaction type, post URL, timestamp, etc.
Conclusion
Workflow automation is a powerful strategy for improving productivity and efficiency. When you apply it to extracting LinkedIn post likers, you can save time, scale your efforts, and build more personalized connections with your LinkedIn networks. Automated tools like Octoparse AI, in this term, can not only streamline your workflow but also amplify your presence on the platform, leading to stronger professional relationships and greater growth opportunities.
