YouTube Scraper API for Academic Researchers

• Accessing large-scale social media datasets
• Ensuring research reproducibility
• IRB approval for ethical data collection
• Processing unstructured social media content

Access structured social media data at scale for academic research. Collect transcripts, engagement metrics, and comments with timestamped data perfect for longitudinal studies and reproducible research.

Build data pipelines that extract YouTube video data at scale without managing scrapers, proxies, or handling blocked requests.

A research team collects data from 10,000+ videos monthly for sentiment analysis, using the API instead of brittle scraping scripts.

Monitor competitor YouTube channels, track their video performance, and analyze their content strategy without manual work.

Marketing agencies track 500+ competitor channels daily, extracting view counts, engagement rates, and posting frequency automatically.

Build applications that aggregate YouTube content, extracting metadata and transcripts for search, curation, or recommendation systems.

An e-learning platform scrapes educational YouTube videos, indexing transcripts to build a searchable knowledge base.

Track brand mentions, product reviews, and industry discussions across YouTube without building custom scrapers.

Brands monitor YouTube for product mentions, automatically extracting video details and sentiment from relevant content.