Launching today
YouTube comments contain valuable feedback, product ideas, customer questions, and market research—but collecting them manually is slow. YouTube Comments Exporter by Veerexa lets you fetch comments from any public YouTube video and export them in multiple formats. Perfect for creators, agencies, SaaS founders, marketers, journalists, and researchers looking to analyze audience conversations quickly. Export, filter, search, and discover insights without writing any code.
How does it handle videos with thousands of comments, does it cap the export or pull everything in one go? Also wondering if the filtering works before or after the data is fetched.
@rukiyexemn Great question! Currently, the exporter is designed to fetch all available comments, including large comment sections, using pagination rather than trying to load everything in a single request. This keeps the process reliable even for videos with thousands of comments. Filters are applied during the export process wherever possible to reduce unnecessary data, and you can further refine the results before downloading.
Would love to see a sentiment analysis column added to the export, so I can quickly sort comments by positive, negative, or neutral without having to run them through another tool afterwards.
@ancacypedd50847 Thanks for the suggestion, Anurag! That's a great idea and definitely something I've been considering. An AI-powered sentiment analysis column (Positive, Neutral, and Negative) would make it much easier to analyze audience feedback without any extra steps. I'll add it to the roadmap—thanks for the valuable feedback! 🚀
Love how the export formats and filtering options are all laid out without burying them in menus. Most scraping tools make you dig through settings just to get the basics, this one just works right out of the gate.
@grkemhasanlmce Thank you, That was exactly the experience I wanted to create. I wanted the tool to be simple enough that you can paste a YouTube URL, apply filters if needed, and export your data without navigating through complicated settings. Really appreciate you noticing the focus on usability—it means a lot! 🙌
pulled comments from a few of my own videos and the CSV export was clean enough to drop straight into a spreadsheet, which saved me the usual copy-paste headache.
@mustafasobgmyg Thanks so much, Mustafa! I'm really glad to hear the CSV export worked smoothly for your workflow. One of my goals was to make the exported data ready to use immediately, without requiring any cleanup. Thanks for trying it out and sharing your experience—it means a lot! 🙌
Congrats on the launch! Genuinely curious about the technical side: are you pulling comments through the official YouTube Data API or scraping them? I'm asking because the API has pretty strict daily quotas, and scraping tends to break whenever YouTube changes their frontend. How are you handling rate limits for videos with tens of thousands of comments? Would love to hear how you've thought about the reliability side, that seems like the make-or-break factor for a tool like this.
skipping the API-vs-scraping question since Dennis already asked it and that's the one I'd want answered first too. separate question: does the export preserve reply threading (which comments are replies to which), or does it flatten everything into one list? that matters a lot for the "product ideas and customer questions" use case, a reply only makes sense in context of what it's replying to, and flattened it just reads as a random opinion.