extracting-youtube-comments-for-researchExtracts and analyzes YouTube comments for audience research using apidojo's YouTube scraper on Apify. Triggers when the user asks to: extract YouTube comments for research, analyze what viewers say in YouTube comments, scrape comments from a YouTube video for sentiment analysis, find common questions in YouTube comments, research audience feedback from YouTube video comments, extract top comments from a YouTube channel for audience insights, or analyze viewer reactions from YouTube comment sections. Returns comment text, likes on comment, reply count, commenter username, and timestamp. Ideal for content creators, brand researchers, product teams, and audience insight analysts.
Install via ClawdBot CLI:
clawdbot install apidojo-io/extracting-youtube-comments-for-researchGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.apify.com/v2/acts/apidojo~youtube-comments-scraper/runs?token=$APIFYAudited Sep 9, 2026 · audit v1.0
Generated Sep 8, 2026
A YouTube creator wants to understand why a competitor's video is performing well. By extracting and analyzing comments from competitor videos, they can identify what viewers appreciate, common requests, and gaps they can fill in their own content.
A software company wants to gather user feedback on tutorial videos or product reviews. By scraping comments from relevant YouTube videos, they can identify recurring pain points, feature requests, and common questions to inform product development.
A marketing agency needs to gauge public sentiment towards a brand or campaign. By extracting comments from YouTube ads or influencer videos mentioning the brand, they can analyze sentiment trends, identify potential PR crises, and measure campaign effectiveness.
An online course provider wants to improve their educational videos. By analyzing comments on their YouTube tutorial videos, they can identify confusing parts, common student questions, and requests for additional topics to enhance their curriculum.
A news outlet wants to understand viewer reactions to their video reports. By scraping comments, they can identify topics that resonate most, detect misinformation or toxic discussions, and adjust their content strategy to increase engagement.
Provide a subscription-based service that regularly delivers YouTube comment analysis reports to content creators and brands, helping them track sentiment and trends over time. Revenue comes from monthly or annual subscription fees.
Offer custom research reports using YouTube comment analysis for clients in various industries. Charge a per-project fee or hourly rate for deep dives into specific topics, competitor landscapes, or customer feedback.
Build a web-based platform that allows marketers and researchers to input YouTube URLs and receive automated comment analysis dashboards. Monetize through tiered SaaS plans based on usage and additional features.
💬 Integration Tip
Start by setting the APIFY_TOKEN environment variable and testing with a single video URL. Use the run_actor.js script to simplify execution and focus on analyzing the output CSV.
Scored Sep 9, 2026
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