YouTube comments dataset for sentiment analysis
Joshua Smith
Build a privacy-friendly comment dataset for sentiment analysis or LLM training: top comments with likes and reply counts, authors replaced by stable pseudonymous IDs.
Input
Output fields
Sign up on Apify or log in
The Best Damn YouTube Comments Scraper Actor is ready to run with the inputs already set for "YouTube comments dataset for sentiment analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube comments dataset for sentiment analysis" task
The Best Damn YouTube Comments Scraper Actor will start running based on the input automatically. You can also change all the input fields, like youtube urls, videos per channel, and more, to match your specific use case.
Receive the "YouTube comments dataset for sentiment analysis" 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 video, author, comment, 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 "YouTube comments dataset for sentiment analysis" task via API.
Integrate "YouTube comments dataset for sentiment analysis" into your workflow
Connect "YouTube comments dataset for sentiment analysis" 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