
socketify.py
ZocialComment
ExportTok
ZocialComment is a no-signup tool for exporting social media comments to spreadsheets and structured data files. Marketers, researchers, agencies, and creators use it to pull comment data from TikTok, Instagram, YouTube, Reddit, Facebook, Threads, and Lemon8 in seconds โ without writing code, dealing with API keys, or copy-pasting from browser windows.
Paste up to 50 URLs at once and download every comment as CSV, Excel, or JSON. Choose Clean mode for essential fields (author, text, likes, replies, language) or Raw mode for the full API payload โ ideal for sentiment analysis and data science pipelines. Multi-language support captures Thai, Japanese, Spanish, Portuguese, and every other language natively.
Beyond export, ZocialComment offers AI-powered Comment Analysis (sentiment, purchase intent, audience demographics, top topics, peak hours), Profile Analysis for deep-dive creator insights, and a free Chrome extension that adds a one-click export button directly to TikTok video pages.
Pricing is dead simple: free tier (3 videos/day, up to 200 comments/video, no signup), $9 one-time for 3 days of unlimited exports across all platforms, or $20/month for AI analysis with 20,000 credits. No subscriptions you forget to cancel, no enterprise sales calls. Trusted by 1,500+ users who have exported 7.4M+ comments.
socketify.py
ZocialCommentNo features have been listed yet.
ZocialComment's answer:
ZocialComment's answer:
ZocialComment's answer:
ZocialComment serves anyone who needs bulk social media comment data without writing code or managing API keys. The user base splits into four core segments:
Secondary audience:
Common thread: Non-technical-to-semi-technical users who need real comment data fast, value transparent pricing, and don't want to commit to a SaaS subscription or learn the TikTok/Meta API.
Geographic spread: Strong adoption in the US, EU, Southeast Asia (Thailand, Indonesia, Vietnam), and LATAM โ driven by the native multi-language support.
ZocialComment's answer:
ZocialComment started from a frustration most marketers and researchers know too well: trying to get comment data out of a TikTok or Instagram video shouldn't require a $200/month subscription, an API key application, or a 30-minute demo call.
The founder, Kopkap was working on [a campaign / research project / agency client] that needed comment data from a few hundred TikTok videos. Every tool in the market either:
So the goal became simple: a tool you can use in 30 seconds, that costs $9 if you need a real project, and works across every platform that matters.
Key design decisions:
Today ZocialComment is used by 1,500+ marketers, researchers, and creators who've exported 7.4M+ comments across 7 platforms. The roadmap is shaped entirely by user requests โ recent additions (YouTube, Reddit, Facebook, Threads, Lemon8, AI Analysis) all came from email replies.
The mission: make comment data as easy to get as a spreadsheet copy-paste โ for anyone, anywhere, in any language.
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago