Capture any LinkedIn user’s recent comments to reveal what they care about right now. Built for B2B sales and ABM teams (with value for recruiters and comms), this scraper pulls the user’s comment text, the posts they engaged with, post content and date, author details, timestamps, profile links, and post IDs—ideal for personalizing outreach, spotting buying signals, and syncing insights to Google Sheets, Airtable, Notion, or your CRM. Maintained and updated by Bardeen for reliable, high‑quality data.
This template is tailored for global B2B sales reps, SDRs, and ABM marketers who research prospects on LinkedIn, with additional value for recruiters and communications teams monitoring executives or influencers. It extracts structured data from any LinkedIn user’s Recent Activity → Comments page, including the profile owner’s name and headline, profile URL, each post they commented on (post content and date), the user’s comment, time commented, other commenters where available, post IDs, and the source page URL. Use it to build prospect dossiers, map interests and pain points, and create engagement timelines that power highly personalized outreach.
Once scraped, you can enrich and operationalize the data directly with the Bardeen extension: summarize themes with AI, extract topics and intent signals, compute recency and frequency of engagement, set alerts when key prospects comment, and merge with company technographics or firmographics. Send results to Google Sheets, Airtable, Notion, HubSpot, or Salesforce, and even auto-generate icebreakers that reference specific comments and posts to boost reply rates.
Maintained and updated by Bardeen, this high-quality scraper is actively monitored to reflect LinkedIn UI changes, ensuring stable, accurate extraction for your workflows.
With Bardeen, you can do much more than just web scraping. After extracting data from any 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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