Export and analyze YouTube comments at scale. This template captures author name, channel link, published time, comment text, like count, and profile image so marketers, creators, and researchers can do audience analysis, sentiment research, and competitor benchmarking—then enrich, summarize, and send results to Sheets, Notion, Airtable, or your workflows.
Who is this for? Social media managers, YouTube creators, brand and product marketers, and research teams who need fast, structured access to YouTube comment data for audience research, social listening, and content strategy. It’s ideal for global teams tracking engagement across regions and languages.
What you can do with it: Extract author details, timestamps, comment text, likes, and profile images to build dashboards, identify common themes and FAQs, run sentiment and topic analysis with AI, find high-signal feedback, and benchmark competitors’ videos. Use Bardeen to enrich commenters, translate or summarize comments, rank by engagement, auto-tag themes, and route insights to Google Sheets, Airtable, Notion, Slack, or your CRM for reporting and follow-ups.
Maintained by Bardeen: This is an official, continuously updated template to keep up with YouTube changes, ensuring reliable scraping and high-quality, structured data you can trust.
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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