Tiktok Comments Scraper

scrapers-hub/tiktok-comments-scraper

TikTok comments scraper to extract comments, replies, and user data from TikTok videos 💬📊 Perfect for sentiment analysis, audience insights, and content research. Fast, accurate, and scalable.

TikTok Videos/Comments Scraper

alien_force/tiktok-scraper-with-comments

Scrape TikTok videos data along with their comments and replies. This powerful tool helps you extract structured data from TikTok URLs, including the video details, user, comments, and replies.

TikTok Comments Scraper (No Cookies)

expected_knight/tiktok-comments-scraper-no-cookies

TikTok Comments Scraper is designed to quickly and accurately gather the comments under any TikTok videos.

Facebook Comments Scraper (All-in-One) Fast & cheap 💬⭐

scrapestorm/facebook-comments-scraper-all-in-one-fast-cheap

Collect comments from public Facebook posts effortlessly with this powerful tool! Automate the extraction of author info, comments, and timestamps ⏰. Scrape not only post comments but also comments from images and videos 🎥📸. Ideal for social media analysis and data insights 📊!

Tiktok Comments Scraper

logical_scrapers/tiktok-comments-api

Extract TikTok comments without limit. Extract valuable insights from TikTok comments at scale with our powerful, reliable, and easy-to-use scraping solution.

Tiktok Comments Scraper

scrapemesh/tiktok-comments-scraper

Scrape TikTok comments instantly with this powerful TikTok Comments Scraper 🚀 Extract user data, replies, timestamps, and engagement metrics at scale 📊 Perfect for sentiment analysis, competitor research, and social listening 🔍 Fast, reliable, and easy to use 💡

Tiktok Comment Scraper

sociavault/tiktok-comment-scraper

Scrape comments from TikTok videos with automatic pagination support. Extract user comments, engagement metrics, and interaction data.

Tiktok Comments Scraper

scraper-engine/tiktok-comments-scraper

TikTok Comments Scraper extracts comments from public TikTok videos at scale. Collect comment text, usernames, likes, replies, and timestamps. Ideal for sentiment analysis, audience research, moderation workflows, and social media insights.