Pricing

from $2.50 / 1,000 hype video rows

YouTube Trending & Hype Pulse — Rising Videos by Region

Scrape YouTube Trending plus the new Hype leaderboard by region and category. The only Apify actor exposing YouTube's Hype tab — catch rising videos before they peak. Multi-region scan, multi-niche cuts, clean structured rows. Built for trend forecasters, news outlets, and content strategists.

Pricing

from $2.50 / 1,000 hype video rows

Rating

0.0

(0)

Developer

SIÁN OÜ

Actor stats

Bookmarked

Total users

Monthly active users

11 days ago

Last modified

Changelog

All notable changes to YouTube Trending & Hype Pulse will be documented in this file.

[2026-05-22]

Hype Leaderboard Mode (USP) — The only Apify actor exposing YouTube's brand-new Hype tab. Pull the 100-row rising-videos leaderboard for any region, with a unique hypeRank field on every row (1-100).
Trending Tab Mode — The canonical 30-50 row YouTube Trending pull per region. Optional type: music | gaming category filter for niche-deep runs.
Home Feed Mode — Region home-feed with personalized + topical mix. Ads and shorts-listing entries filtered out before charging — you never pay for an ad row.
Trending + Hype Combined — Run both in one shot via trendingAndHype operation. Best for daily-cron dashboards covering both surfaces.
Multi-Region Scan — Pass regions: "US,GB,DE,JP,BR" (up to 25) to scan all regions in one run. Every row tagged with _sourceRegion.
Multi-Niche Cuts — Pass niches: "Music,Gaming,Sports" (up to 10). Hype niche taxonomy varies per region — actor auto-discovers and logs available filters.

💎 User Benefits

Catch rising videos before they hit standard Trending — early-warning signals competitors don't have
Scan 5+ regions in one input, get a unified dataset tagged by source — vs 5 separate scraper runs at $0.025 each
Pay $0.005 per Hype row (USP data), $0.004 per Trending row, $0.003 per Home row — cheaper than commodity $0.02/result scrapers
Pay only for successful rows — invalid regions, unavailable niches, and ads are never charged
Filter the dataset by _sourceFeed, _sourceRegion, or _sourceNiche to slice cleanly

🎯 Use Cases

Trend forecasting teams catching rising videos 2-4 weeks before mainstream metrics flag them
News outlets pulling the daily Trending + Hype landscape for editorial morning meetings
Content strategy teams targeting regional and niche audiences in 8 countries simultaneously
Brand-safety teams auditing what's trending alongside their daily ad placements
Music label A&R teams scouting emerging artists from per-region Music Trending + Hype cuts

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