YouTube Channel Scraper

No-Code

Point, click, download.

Use the dashboard to run any scraper without writing a single line of code.

API

Integrate with code.

Call the API from Python, Node, cURL, or any HTTP client.

Output

Get structured JSON and CSV back.

Every YouTube Channel Scraper run returns clean, structured data in both formats - ready to use.

Example JSON output using our YouTube Channel Scraper

[
  {
    "url": "https://www.youtube.com/@taylorswift",
    "handle": "@TaylorSwift",
    "handle_md5": "c0ba0a16acd7890d9eebcf7c462a1773",
    "banner_img": "https://yt3.googleusercontent.com/ZzqXdJOrwxJYqrI_4vQbD4aS6p-WhFpwYq3fJfE9KB60lUzc_UEzpyNBAX_hC3Uc7PsUmZ8D=w2560-fcrop64=1,00005a57ffffa5a8-k-c0xffffffff-no-nd-rj",
    "profile_image": "https://yt3.googleusercontent.com/HFEgZENJw23LuRb0ldBpDrQKscFUWSf4n2jqrNh-1EqpE3Uiy_IYwacuUXCjCruNUP3Ttq9N=s160-c-k-c0x00ffffff-no-rj",
    "name": "Taylor Swift",
    "subscribers": 63200000,
    "Description": "And, baby, that’s show business for you. New album The Life of a Showgirl. Available now ❤️‍🔥\n",
    "videos_count": 658,
    "created_date": "2006-09-20T00:00:00.000Z",
    "views": 45009104370,
    "Links": [
      "taylor.lnk.to/TSTheLifeofaShowgirl",
      "taylorswift.com",
      "instagram.com/taylorswift",
      "facebook.com/TaylorSwift",
      "x.com/taylorswift13",
      "tiktok.com/@taylorswift",
      "taylorswift.tumblr.com"
    ],
    "identifier": "UCqECaJ8Gagnn7YCbPEzWH6g",
    "id": "UCqECaJ8Gagnn7YCbPEzWH6g",
    "has_podcast": false,
    "top_videos": [],
    "featured_video": "https://www.youtube.com/watch?v=WqbJT_vC0rs&pp=0gcJCTcbAYcqIYzv",
    "featured_channels": null,
    "collaborations": null,
    "scrape_error_code": null
  }
]

Example CSV output using our YouTube Channel Scraper

url	handle	handle_md5	banner_img	profile_image	name	subscribers	Description	videos_count	created_date	views	Links	identifier	id	has_podcast	top_videos	featured_video	featured_channels	collaborations	scrape_error_code
https://www.youtube.com/@taylorswift	@TaylorSwift	c0ba0a16acd7890d9eebcf7c462a1773	https://yt3.googleusercontent.com/ZzqXdJOrwxJYqrI_4vQbD4aS6p-WhFpwYq3fJfE9KB60lUzc_UEzpyNBAX_hC3Uc7PsUmZ8D=w2560-fcrop64=1,00005a57ffffa5a8-k-c0xffffffff-no-nd-rj	https://yt3.googleusercontent.com/HFEgZENJw23LuRb0ldBpDrQKscFUWSf4n2jqrNh-1EqpE3Uiy_IYwacuUXCjCruNUP3Ttq9N=s160-c-k-c0x00ffffff-no-rj	Taylor Swift	63200000	And, baby, that’s show business for you. New album The Life of a Showgirl. Available now ❤️‍🔥	658	2006-09-20T00:00:00.000Z	45009104370	taylor.lnk.to/TSTheLifeofaShowgirl, taylorswift.com, instagram.com/taylorswift, facebook.com/TaylorSwift, x.com/taylorswift13, tiktok.com/@taylorswift, taylorswift.tumblr.com	UCqECaJ8Gagnn7YCbPEzWH6g	UCqECaJ8Gagnn7YCbPEzWH6g	false		https://www.youtube.com/watch?v=WqbJT_vC0rs&pp=0gcJCTcbAYcqIYzv

Pricing

Pay per output record. Nothing else.

One record returned, one credit charged. A scrape pulls 743 records, you pay for 743 records. No monthly fees. No per-request charges. Empty results cost you zero.

Pay per result

1 row of data returned = 1 credit charged. Nothing more.

No subscriptions

No monthly fees, no minimums, no commitments.

Multiple formats

Export as CSV, Excel, or JSON - whatever your pipeline needs.

Empty results are free

If a scrape returns zero rows, you pay zero credits.

Credits

2,000

Per credit

$0.028

Total

$55.00

Start for free

Free credits included - no credit card required

Volume tiers

YouTube Hashtag Search Scraper

Search YouTube videos by hashtag. Extract views, likes, transcript, tags, duration, and channel info for each video at scale.

YouTube Channel Search Scraper

Search YouTube channels by keyword. Scrape subscriber count, views, video count, top videos, and channel details in bulk.

YouTube Video Search Scraper

Search YouTube with custom filters. Scrape video title, views, likes, transcript, tags, duration, and channel data at scale.

YouTube Podcast Scraper

Scrape YouTube podcast episodes. Get views, likes, transcript, duration, chapters, tags, and channel details for podcast content.

YouTube Video Details Scraper

Scrape YouTube video data - views, likes, comments, transcript, tags, chapters, duration, and related videos. Full details from any URL.

FAQ

Common questions.

Pick the scraper you need, enter your input (a URL, keyword, or profile name), and hit run. You will get structured JSON or CSV back within seconds. If you want to automate it, every scraper also has a REST API endpoint that accepts the same inputs.

One row of data equals one credit. Credits start at $0.04 each and go down to $0.012 at higher volumes. You get free credits when you sign up, so you can test any scraper before spending a cent.

Yes. Through the API, you can set any scraper to run on a schedule you define. Set your inputs, pick a frequency, and get fresh data delivered automatically. Works well for price tracking, listing monitoring, or keeping any dataset current.

If a run returns no data due to an error on our side, you are not charged. Credits are only deducted for successful rows returned. If you see unexpected charges or missing data, reach out to our support team and we will sort it out.

Scroll down to the sample output section on this page to see real data from this scraper. Every run returns the same fields in structured JSON, and you can export to CSV from the dashboard.

Most runs finish in under 30 seconds for small inputs. Larger runs (hundreds or thousands of results) can take a few minutes depending on the platform and volume. You can track progress in the dashboard or poll the API for status.

Yes. Most scrapers accept bulk inputs. You can pass a list of URLs, keywords, or identifiers in one request and get all results back in a single structured dataset. Check the input fields on each scraper page for what it accepts.

The official API has strict daily quotas and does not give you access to transcripts, hashtag search results, or detailed channel analytics. Our scrapers have no quota limits and return fields the API does not expose, including full video transcripts, tags, chapters, and related video data.

Yes. Our video scrapers return the complete transcript when one is available. This covers both auto-generated captions and manually uploaded subtitles. The transcript comes back as structured text in the JSON output.

Video scrapers return views, likes, comments, transcripts, tags, chapters, and duration. Channel scrapers return subscriber counts, total views, video counts, descriptions, and featured channels. Search scrapers let you filter by keyword, hashtag, or podcast format.

Start collecting data in under five minutes.

Pick a scraper, enter your inputs, and download clean data. Free credits included.