Scrape YouTube Comments for Audience & Market Research
Zebu Data
This actor turns a YouTube video's comment section into an audience-research dataset. Provide the video URL and it returns each comment with comment_user, comment_content, comment_like_count, and comment_time, plus nested replies. Use it for social listening, brand-mention tracking, product feedback, and audience-reaction analysis. Set max_comments to control how many comments you collect.
Input
Output fields
Sign up on Apify or log in
The YouTube Comments Scraper - Replies, Likes & Shorts Actor is ready to run with the inputs already set for "Scrape YouTube Comments for Audience & Market Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Scrape YouTube Comments for Audience & Market Research" task
The YouTube Comments Scraper - Replies, Likes & Shorts Actor will start running based on the input automatically. You can also change all the input fields, like youtube video links, max top-level comments per video, and more, to match your specific use case.
Receive the "Scrape YouTube Comments for Audience & Market Research" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as row type, comment, reply, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape YouTube Comments for Audience & Market Research" task via API.
Integrate "Scrape YouTube Comments for Audience & Market Research" into your workflow
Connect "Scrape YouTube Comments for Audience & Market Research" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay