Research lens
Conversation context
Keep replies, timestamps, source links, and available engagement fields connected to the discussion you are reviewing.
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Ways to investigate
Use one public URL to move from an audience conversation to evidence you can search, compare, and share with your team.
Bring one public video into a focused workspace with replies, reactions, authors, and timestamps intact.
Turn a conversation into CSV, Excel, JSON, HTML, or TXT for reporting, research, and AI-assisted review.
Narrow a conversation by keyword, author, engagement, reply count, or metadata before you export.
Capture timestamped replay chat to understand reactions as a stream unfolds.
Follow the conversation, isolate the pattern, and bring defensible context into your next decision.
Move audience research into spreadsheets, dashboards, archives, or an AI workflow without reformatting it by hand.
Bring channel, playlist, or URL-list conversations together when one video cannot answer the whole question.
Use a readable HTML view when stakeholders need to trace an insight back to the original discussion.
Go from a public link to an analysis-ready dataset in a few steps, without an API client or custom scraper.
Spend time interpreting audience feedback instead of copying it, cleaning it, or waiting on a queue.
Search mentions, themes, authors, timestamps, and engagement signals before committing your findings to a report.
Research sources
Every YouTube surface has its own audience behavior. Begin with the source that best matches your research question so each finding keeps its context.
Study one audience conversation in full.
Track fast-moving reactions around a Short.
Read the room with timestamps and badges.
Compare reactions and discussion around a post.
Bring a course or series conversation into one view.
Look for recurring themes across public videos.
Use a hand-picked list when your sources span channels.
Compare public conversations around a search term.
Need a starting point?
Paste any supported YouTube URL and commentstools guides it into the closest research path.
Research workspace
commentstools turns public conversations into a source-backed research record for social listening, campaign review, and audience understanding.
Start from the audience exchange most relevant to the decision in front of you.
Capture the available thread structure, source context, and engagement signals in one record.
Bring the record into a spreadsheet, archive, database, report, or external AI workflow.
A public YouTube source tied to a research question: one video, a live replay, a series, a channel, or a curated source list.
A structured export that retains available conversation detail and lets you examine patterns outside the YouTube interface.
Threads, source links, timestamps, authors, and engagement fields remain available where YouTube provides them.
You need grounded audience evidence for editorial planning, campaign review, community research, social listening, or reporting.
A source-backed record you can examine, share, and bring into the next layer of research.
Choose a working view
Inspect the structure before you begin
Start with the public video, live stream, Short, community post, playlist, or channel behind the question you are investigating.
Choose the format that fits the next decision: spreadsheet review, a database, an archive, a shareable record, or an external AI analysis.
Work from a clean record of authors, threads, timestamps, reactions, replies, and source links when you turn findings into action.
Use one source-backed dataset to examine context, compare audiences, prepare working evidence, and explain findings.
Research lens
Keep replies, timestamps, source links, and available engagement fields connected to the discussion you are reviewing.
Research lens
Move from one video to playlists, channels, or curated source lists when a single conversation is not enough.
Research lens
Choose a structured format for spreadsheets, records, reporting, or further processing in the tools your team already uses.
Research lens
Return to the original source context when you need to substantiate a theme, quote, or audience signal.
Public comments and live chat from videos, Shorts, community posts, playlists, channels, and custom URL lists. Each source keeps the available conversation context.
Available records can include comment text, authors, timestamps, likes, replies, thread relationships, source links, and source metadata. The exact fields depend on the YouTube source.
Use CSV or Excel for review, JSON for structured processing, HTML for a readable conversation view, and TXT when you want a compact text record.
Choose prepaid credits for flexible use or a subscription for ongoing work. Current inclusions and prices are shown on the pricing page and confirmed at checkout.
Yes. Download the format that fits your workflow, then analyze it in the external AI tool you choose. commentstools does not perform that analysis for you.
commentstools works with public, enabled conversations. Private and age-restricted content is not supported; unlisted sources may vary with YouTube settings.
Start with free credits, then follow the conversations that matter to your work.
BEGIN WITH FREE CREDITS