YouTube Get channel videos API

Get a list of videos from a YouTube channel. Supports paginated retrieval; use continuation_token to get more videos.

GET/v1/youtube/get_channel_videos

channel_idstringrequired

Channel ID How to obtain: Extract from the channel URL, e.g. https://www.youtube.com/channel/UCJHBJ7F-nAIlMGolm0Hu4vg For URLs with the @username format, visit the channel page first to obtain the actual channel ID

language_codestringoptional

Language display preference Options: "zh-CN", "en-US", "ja-JP", "ko-KR", etc. (IETF BCP 47 standard language codes)

country_codestringoptional

Region code Options: US, CN, JP, KR, GB, DE, FR, CA, etc. (ISO 3166-1 alpha-2 standard country codes)

continuation_tokenstringoptional

Pagination token, used to retrieve the next page of videos. How to obtain: taken from the previous response. Leave empty or null for the first request.

need_format booleanoptional

Whether to return cleaned and formatted structured data. Default: false

YouTube API Use Cases

Get channel videos Data Collection

Retrieve get channel videos data from YouTube at scale for analytics and research.

Competitive Intelligence

Monitor YouTube activity and benchmark against competitors using real-time data.

Automation & Integration

Integrate YouTube get channel videos data into your product, dashboard, or data pipeline.

Frequently Asked Questions

Is the YouTube API official?

No, KeyAPI provides an unofficial YouTube API that lets you access YouTube data through our platform. We handle the complexities of data collection so you can focus on building your application.

How current is the data?

We provide real-time data from YouTube. When you make a request, we fetch the latest information available.

How do credits work?

Each API endpoint consumes credits. Most endpoints cost just 1 credit. All pricing is transparent in our API documentation with no hidden fees.

Can I use this for AI model training?

Yes. KeyAPI provides structured, AI-ready data ideal for training datasets, fine-tuning LLMs, and building AI pipelines. Our historical archives are particularly valuable for large-scale training workloads.

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