Scrape LinkedIn post comments into Google Sheets with Apify

📺 Full walkthrough video: https://youtu.be/y63F9leiU Who it's for This workflow is for marketers, growth hackers, and social media managers who want to collect and analyze comments from LinkedIn posts without manual copy-pasting. It is especially useful for community managers running outreach or sentiment analysis. How it works 1. A user submits a form providing the LinkedIn post URL to trigger the workflow. 2. A new Google Sheets spreadsheet is automatically created and named after the post URL to store the results for that session. 3. The workflow sends a POST request to Apify's LinkedIn comment scraper actor, which fetches all comments (including replies) from the given post. 4. The raw Apify response is transformed using a Set node, extracting four key fields: Comment, Author (as a clickable hyperlink), Author Headline, and Comment URL. 5. Each processed comment is appended or updated as a row in the newly created Google Sheet for easy review and export. How to set up - Configure the On form submission trigger with the Post URL field - Add your Apify API credentials in the HTTP Request node - Connect a Google account with Sheets and Drive access to both Google Sheets nodes - Set the target Google Drive folder in the 'Create spreadsheet' node - Verify the column mapping in the 'Set Comment Fields' node matches your sheet headers Requirements - Apify account with API key and access to the LinkedIn comment scraper actor - Google account with Google Sheets and Google Drive access How to customize - Extend the 'Set Comment Fields' node to capture additional Apify fields such as comment likes, timestamps, or reaction counts. - Add a Filter node after scraping to store only comments containing specific keywords or from specific authors. - Replace the form trigger with a scheduled trigger or a webhook to automate scraping for multiple posts in batch.