YouTube

YouTube Channel Scraper

Scrape YouTube channel metadata and videos using Puppeteer. Extract channel info, subscriber counts, video titles, views, and more.

Run on Apify32 userson Apify, measured 2026-08-24

What it extracts

Every field below comes from the Actor’s published dataset schema.

FieldDescriptionType
titleTitletext
urlURLlink
subscriberCountSubscriber Counttext
videoCountVideo Counttext
viewCountView Counttext
joinedDateJoined Datedate
countryCountrytext
descriptionDescriptiontext
linksLinkstext
videosVideostext

Input parameters

Generated from the Actor’s input schema — the same fields the Apify console shows.

ParameterTypeRequiredDescription
startUrlsarrayRequiredYouTube channel URLs to scrape
maxVideosintegerOptionalMaximum number of videos to scrape from each channel.
sortBystringOptionalHow to sort the channel videos.
proxyConfigurationobjectOptionalProxy settings to avoid blocking.

API access

Run this Actor from your own code over the Apify API.

Inputjson
{
  "startUrls": [
    {
      "url": "https://www.youtube.com/@MrBeast"
    }
  ]
}
REST — run and get resultsbash
curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~youtube-channel-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.youtube.com/@MrBeast"}]}'
JavaScript — apify-clientjavascript
import { ApifyClient } from 'apify-client'

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' })

const run = await client.actor('logical_scrapers~youtube-channel-scraper').call({
  "startUrls": [
    {
      "url": "https://www.youtube.com/@MrBeast"
    }
  ]
})

const { items } = await client.dataset(run.defaultDatasetId).listItems()
console.log(items)
Python — apify-clientpython
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("logical_scrapers~youtube-channel-scraper").call(run_input={
    "startUrls": [
        {
            "url": "https://www.youtube.com/@MrBeast",
        },
    ],
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Runs are executed on Apify. Create an API token in your Apify account, then call the Actor over REST or with the official client for your language. The same input object works in the Apify console, so you can test interactively before automating.

Pricing

Data not currently verified. This Actor's pricing model is not declared in our source repository.

Current rates are published on the Apify listing and can change, so they are not duplicated here. See pricing on Apify

Reliability

99.4% run success rate

Measured across all public Goldmine Actors on Apify, 2026-08-24. This is an account-level figure, not a per-Actor benchmark — per-Actor speed and completeness benchmarks are not yet published. Source.

Field and input tables are generated from this Actor's published schemas. Usage figures measured 2026-08-24 from the Apify listing.