Run the Newbs YouTube Channel Scraper through the Apify API, retrieve its dataset, and build a repeatable JSON workflow with a tested input shape.
Opens the matching public Apify Store listing in a new tab.
Reviewed against the Newbs actor documentation and schema on August 17, 2026. Marketplace behavior and pricing can change, so confirm the live listing before a production run.
The fastest way to avoid API debugging is to run the exact JSON input once in the Apify Console. Confirm that the dataset contains the fields you need, then reuse the same input body in your API call.
Start with one channel and two results. Large channel lists make it harder to distinguish an input mistake from a source-specific data issue.
Store the Apify token in an environment variable or secret manager. Do not place a real token in browser code, a public repository, screenshots, or a client-side application.
The examples below use YOUR_APIFY_TOKEN as a placeholder. Replace it only in your local environment or server-side secret configuration.
An asynchronous run is the safer pattern for larger jobs: start the actor, poll the run until it reaches a terminal status, then read the default dataset ID returned by the run object.
For a tiny workflow, Apify also provides synchronous endpoints. Use the API tab on the live listing to confirm the current endpoint and client examples before production use.
YouTube does not expose every metric, About link, or transcript for every video. Your integration should accept null values, inspect transcriptStatus and scrapingStatus, and keep videoUrl or id as the stable record key.
Do not fail an entire batch because one channel has only Shorts or one video has no caption track. Handle those states explicitly in downstream code.
Validate the input and output on a small run first. Save a Task, schedule it, or connect the dataset only after the collected fields match the decision you need to make.
Use a server-side token. The request body matches the current actor input schema.
curl "https://api.apify.com/v2/acts/newbs~Youtube-Channel/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"channel": ["https://www.youtube.com/@adidas/videos"],
"keywords": false,
"numberOfResults": 2,
"needVideoDetails": true,
"proxyMode": "auto"
}'Use the defaultDatasetId returned by the completed run.
curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_APIFY_TOKEN&clean=true&format=json"These workflows benefit from repeatable cloud scraping, scheduling, dataset exports, and API access.
Scrape YouTube channel videos, metadata, profile links, and public signals for creator research, lead generation, and content intelligence.
View current listing on ApifyAfter the first run, save the input, schedule recurring runs in Apify, and connect the dataset output to your spreadsheet, CRM, dashboard, or AI workflow.
Continue with the matching actor page and closely related Newbs workflow guides.
No YouTube API key is required for this actor. You need an Apify account token when calling the actor through the Apify API.
No. Keep the token on a server, automation platform, or secret manager where visitors cannot inspect it.
Wait until the actor run reaches SUCCEEDED, then read the defaultDatasetId from the run and fetch its dataset items.
Open the current Newbs YouTube Channel Scraper listing, inspect its Input and API tabs, and validate a small run before adding the endpoint to production code.
Run this workflow on ApifyAffiliate disclosure: Newbs may earn a commission from an eligible referral, at no additional cost to you.