YouTube Comment Scraper

A YouTube comment scraper reads a video's comment section for you and returns it as structured, sortable rows instead of an endless scroll. AllyHub runs the same job built for research — at scale, and organized so the comment section becomes something you can work, not a page you skim.

Yes. Scraping a single video's comments runs on the free plan. Bulk pulls across many videos or a whole channel, scheduled reruns, and saved Recipes are covered by paid plans.

Shorts and standard videos work the same way — same comment structure, same pull. A past live stream keeps its comment section too, so those pull normally; the live chat during a broadcast is a separate, ephemeral stream and isn't the same thing as comments.

Yes. AllyHub preserves the full thread structure — top-level comments and the replies nested under them — along with pinned and creator-hearted flags, so you can reconstruct each conversation exactly as it appeared on the video.

Pulling publicly visible comments for research, analysis, and brand monitoring is common practice, and courts have generally upheld access to public web data. AllyHub reads only what any visitor can see and stays within YouTube's normal page access — it defeats no logins and touches no private data. Republishing identifiable users' comments can carry separate obligations, so check YouTube's terms and your local rules before you publish.

Yes, and you don't scrape twice. Send the same pull to AllyHub's YouTube Comment Downloader for a portable file, or to YouTube Sentiment Analysis to score mood and its drivers. This scraper's job is getting the comments and structuring them; those two take it the last mile.

Most scrapers re-solve the page on every run, charge a flat rate per pull, and hand back a raw file. AllyHub saves your pull as a Recipe, so the second run skips exploration and gets faster every time — and it frames the output around your next decision instead of leaving you a pile of rows to sort out yourself.