This automation extracts comments from a LinkedIn post currently opened in your browser. Utilizing a combined scraper model, it's designed to scrape up to 100 comments efficiently.
The process begins by activating the scraper on the current tab where a LinkedIn post is opened. By specifying the model as "linkedin_comments" and setting a maximum item limit, the automation efficiently retrieves the desired comments. This tool is particularly useful for:
Note: This workflow is customizable to fit different scraping needs by adjusting the model specifications and item limits.
By leveraging this automation, users can save time and streamline the process of collecting comments for analysis, engagement tracking, or content creation purposes.
To start, ensure that you have the Bardeen app installed on your device.
With the Bardeen app ready, proceed to the Magic Box and input the following:
Get LinkedIn comments from the currently opened post
It's crucial to integrate the Scraper integration for the workflow, as it is necessary to extract comments from LinkedIn.
Now, you're set to run the workflow. This workflow is tailored to:
This process simplifies the task of gathering comments from a LinkedIn post without manually copying them.
Extracting comments from a LinkedIn post can be essential for understanding public sentiment, gathering feedback, or analyzing engagement. While LinkedIn does not offer a direct way to download comments from a post, there are manual methods to view and collect this information. Firstly, to view comments on a LinkedIn post, simply navigate to the post of interest. Below the post, you'll find the comment section where you can manually read through each comment. If you're looking to collect these comments for analysis, you might have to manually copy and paste the comments into a document. This method is feasible for posts with a smaller number of comments. Remember, engagement on LinkedIn is not just about viewing but also participating. Leaving a meaningful comment can boost your visibility and foster professional relationships.
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For professionals and businesses aiming to analyze comments on LinkedIn posts at scale, manual methods can be time-consuming. Automation tools like Bardeen offer a more efficient solution. By utilizing such tools, you can scrape comments from LinkedIn posts automatically. This not only saves time but also allows for the collection of larger datasets, which can be invaluable for sentiment analysis, market research, or tracking engagement over time. When setting up an automation, ensure you comply with LinkedIn's terms of service to avoid any potential issues.
Moreover, for developers or those with technical expertise, LinkedIn's API provides a programmable way to access comments. The Comments API allows for reading and writing comments on shares, although access is restricted and requires approval from LinkedIn. This method is suitable for creating custom solutions that integrate LinkedIn comment data into your applications or analytics platforms.
Regardless of the method chosen, extracting comments from LinkedIn posts can provide valuable insights into your audience's opinions and engagement levels. Whether manually or through automation, the key is to leverage this data to inform your content strategy, improve engagement, and build stronger connections on the platform.
With our new Bardeen version, you can easily extract data from any website and discover new leads across the web. After extracting data from a website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
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