I’m looking for a simple, reliable way to collect public TikTok comments so I can feed them into my sentiment-analysis pipeline and an Algospeak detector I’m prototyping. The only pieces of each comment I really care about are the raw text and any emojis that appear alongside it; usernames, likes, or other metadata are optional and can be ignored unless they come free with your method. The workflow is up to you—official API, browser automation, or another approach—as long as it stays stable over time and does not violate TikTok’s terms of service. I’ll point you to a set of video or hashtag URLs for testing, and I need the script plus a short README so I can rerun the scrape on fresh links whenever I need new data. Deliverables • A runnable script (Python preferred, but I’m flexible) that scrapes all visible comments from a supplied list of TikTok URLs. • Output in CSV or JSON with two fields per row: comment_text and emojis (if present). • A brief README explaining setup, dependencies, and how to extend the scrape to new videos/hashtags. I’ll validate the job by running the script on my own machine and confirming that the exported file matches the comment stream shown in the app.