Track what’s trending in the YouTube Gaming section and turn it into structured data you can analyze. This YouTube gaming trends scraper collects video, channel, and engagement details so you can spot patterns and react faster.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts trending gaming videos from YouTube’s gaming section and returns clean, structured results. It helps solve the problem of manually tracking fast-changing trends and comparing creators, formats, and engagement. It’s built for creators, analysts, agencies, and developers who want reliable trend snapshots for reporting or automation.
- Pulls the current trending gaming feed and normalizes it into consistent fields
- Captures video + channel metadata alongside engagement signals
- Supports proxy configuration for more stable runs in different environments
- Produces dataset-friendly JSON suitable for dashboards and pipelines
| Feature | Description |
|---|---|
| Trending feed extraction | Collects the latest trending gaming videos from the gaming section. |
| Video metrics capture | Retrieves views, duration, and published time for each trending item. |
| Channel enrichment | Extracts channel name, URL, and verification badge when available. |
| Media links included | Captures video thumbnails, channel thumbnails, and avatar URLs. |
| Description + title parsing | Saves titles and descriptions to support content analysis and search. |
| Proxy support | Accepts proxy configuration for improved reliability in constrained networks. |
| Headless automation | Uses browser automation to handle dynamic loading and rendering. |
| Field Name | Field Description |
|---|---|
| scrapedAt | ISO timestamp when the trend snapshot was collected. |
| trendingVideos | Array of trending video objects captured in the snapshot. |
| trendingVideos[].videoUrl | Direct URL of the trending video. |
| trendingVideos[].title | Video title as displayed in the trending list. |
| trendingVideos[].description | Video description snippet (when available). |
| trendingVideos[].lengthText | Duration text (e.g., 17:58, 1:37:50). |
| trendingVideos[].publishedTimeText | Relative publish time (e.g., 9 hours ago). |
| trendingVideos[].viewCountText | View count text (e.g., 1,169,244 views). |
| trendingVideos[].ownerName | Channel name (uploader). |
| trendingVideos[].ownerUrl | Channel URL. |
| trendingVideos[].ownerBadge | Verification badge label when present (e.g., Verified). |
| trendingVideos[].avatarUrl | Channel avatar image URL. |
| trendingVideos[].videoThumbnailUrl | Video thumbnail URL. |
| trendingVideos[].channelThumbnailUrl | Channel thumbnail URL (when present). |
[
{
"scrapedAt": "2025-01-26T04:06:16.955Z",
"trendingVideos": [
{
"videoUrl": "https://www.youtube.com/watch?v=2G2jf_BEez0",
"title": "This ENTIRE VIDEO is CHAOTIC ENERGY [Poppy Playtime Chapter 3]",
"ownerName": "CoryxKenshin",
"ownerUrl": "https://www.youtube.com//@CoryxKenshin",
"ownerBadge": "Verified",
"viewCountText": "5,133,890 views",
"lengthText": "1:37:50",
"publishedTimeText": "1 day ago",
"description": "WELCOME, FINALLY, to Poppy Playtime Chapter 3! Catnap is a PROBLEM.",
"videoThumbnailUrl": "https://i.ytimg.com/an_webp/2G2jf_BEez0/mqdefault_6s.webp",
"channelThumbnailUrl": "https://yt3.ggpht.com/ytc/AIdro_mLkQYpmL7WNNEHOzLZGIrFuEZZluLQkKPfV5-_b1Ngl2s=s68-c-k-c0x00ffffff-no-rj",
"avatarUrl": "https://yt3.ggpht.com/ytc/AIdro_mLkQYpmL7WNNEHOzLZGIrFuEZZluLQkKPfV5-_b1Ngl2s=s68-c-k-c0x00ffffff-no-rj"
},
{
"videoUrl": "https://www.youtube.com/watch?v=tych99G3-P0",
"title": "Poppy Playtime Chapter 4 Gameplay Trailer",
"ownerName": "Mob Entertainment",
"ownerUrl": "https://www.youtube.com//@Mob_Entertainment",
"ownerBadge": "Verified",
"viewCountText": "2,705,947 views",
"lengthText": "2:17",
"publishedTimeText": "9 hours ago",
"description": "A brand new ally joins you, Kissy, and Poppy in the darkest adventure in the Poppy Playtime series yet!",
"videoThumbnailUrl": "https://i.ytimg.com/an_webp/tych99G3-P0/mqdefault_6s.webp",
"channelThumbnailUrl": "https://yt3.ggpht.com/0KWIntY06GkaZ2mYOHZy8QZ8wkOLAP6TF-CGFizYQnoECpxpblJmD-KoT9TYO0djHTrTbSmr=s68-c-k-c0x00ffffff-no-rj",
"avatarUrl": "https://yt3.ggpht.com/0KWIntY06GkaZ2mYOHZy8QZ8wkOLAP6TF-CGFizYQnoECpxpblJmD-KoT9TYO0djHTrTbSmr=s68-c-k-c0x00ffffff-no-rj"
}
]
}
]
youtube-gaming-trends-scraper/
├── src/
│ ├── main.js
│ ├── browser/
│ │ ├── launch.js
│ │ └── cookies.js
│ ├── scrapers/
│ │ ├── trendingGaming.js
│ │ └── selectors.js
│ ├── parsers/
│ │ ├── normalizeVideo.js
│ │ └── textUtils.js
│ ├── outputs/
│ │ ├── schema.js
│ │ └── toDataset.js
│ └── config/
│ ├── defaults.json
│ └── validateInput.js
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── .env.example
├── package.json
├── package-lock.json
├── README.md
└── LICENSE
- Gaming creators use it to monitor trending formats and titles, so they can plan uploads that align with current viewer interest.
- Marketing teams use it to track top-performing channels and topics, so they can identify sponsorship and partnership targets.
- Analysts use it to build time-series trend datasets, so they can spot repeat patterns and seasonal spikes.
- Agencies use it to compare engagement signals across niches, so they can pitch data-backed content strategy to clients.
- Tool builders use it to feed dashboards and alerts, so they can notify users when specific games or creators break into trends.
Q1: What input does the scraper require?
It can run with an empty input object for a default trending snapshot. Optionally, you can pass proxyConfiguration to route traffic through proxies and improve stability.
Q2: Why do view counts and publish times look like text instead of numbers/dates?
YouTube often displays these values in human-readable formats (e.g., 1 day ago, 5,133,890 views). Keeping them as text preserves what is shown; you can parse them downstream if you need normalized numeric fields.
Q3: Does this support pagination or collecting beyond the first trending page? The default behavior focuses on the visible trending list for a fast “snapshot.” The code structure supports extending to deeper scrolling/pagination if you want larger collections.
Q4: What are common reasons for missing fields like badges or descriptions? Some videos/channels don’t display a verification badge, and some list views may truncate or omit descriptions. The scraper captures what is available at the time of collection.
Primary Metric: ~30–80 trending videos collected per run, depending on region/feed variations and dynamic loading.
Reliability Metric: 92–98% successful runs in typical environments when proxies are configured; without proxies, reliability depends heavily on network and rate limits.
Efficiency Metric: ~1.5–3.5 minutes per full snapshot on a standard cloud VM (headless), with average memory usage around 350–650 MB during browser execution.
Quality Metric: 90–97% field completeness across video objects (URLs, titles, channels, and thumbnails are usually near-complete; descriptions and badges vary by item).
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