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YouTube Gaming Trends Scraper

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Scrape trending gaming videos from YouTube Gaming section. Extracts video details, channel information, view counts, game names, and more. Perfect for gaming content analysis and market research.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

Coding Frontned

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

YouTube Gaming Page Scraper

Collect current video cards from YouTube's first-party Gaming page. The Actor preserves page section and order; it does not claim the records are a global or country-wide gaming-trends ranking.

It reads YouTube's embedded page data and follows a bounded number of first-party youtubei browse continuations with native HTTP. This removes the browser/scroll dependency while preserving renderer evidence and optional proxy routing.

Input

Field	Default	Description
`maxItems`	`30`	Maximum unique video records to write (1–50).
`maxContinuationRequests`	`3`	First-party continuation request cap (0–5).
`countryCode`	`US`	Two-letter country code passed to YouTube as `gl`.
`locale`	`en-US`	Language-country locale passed to YouTube as `hl` and request headers.
`proxyConfiguration`	—	Optional Apify/custom proxy configuration. Direct requests are the default.

Output

Records contain only values present in the YouTube renderer, plus deterministic identifiers and scrape context. Depending on the card, this can include:

rank, section, videoId, url, title, description, and thumbnailUrl
channelName, channelId, and channelUrl
viewCountText, parsed viewCount, publishedTimeText, duration
isLive, liveStatus, badges, plus game/category labels only when YouTube supplies them
countryCode, locale, source, sourcePage, sourceSearchUrl, and scrapedAt

Nulls, blank strings, empty arrays/objects, and non-finite values are removed. The run is atomic: request, configuration, continuation, and zero-result failures occur before any dataset write.

Notes

YouTube controls the exact content and ordering of /gaming; it can change by time, country, locale, and signed-out session.
Use a modest maxItems and optional Residential proxy configuration when operating at scale.

Example output record:

{
  "recordType": "youtube_gaming_video",
  "rank": 1,
  "section": "Popular gaming videos",
  "videoId": "dQw4w9WgXcQ",
  "title": "A public gaming video",
  "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "countryCode": "US",
  "locale": "en-US",
  "source": "youtube.com/gaming page ordering",
  "scrapedAt": "2026-08-16T10:00:00.000Z"
}

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