Collect YouTube videos, channel metadata, social links, and available transcripts, then export the dataset as CSV or JSON without maintaining a scraper.
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.
CSV is the practical choice for Google Sheets, Excel, basic dashboards, and teams that need one row per video. JSON is better when your workflow needs nested objects such as channelLinks, channelInfo, or downstream API processing.
Both exports come from the same Apify dataset. Run once, inspect the rows, then download the format that preserves the fields your destination can actually use.
For channel collection, add public handles or channel URLs to channel, keep keywords set to false, and use numberOfResults to cap videos per channel. Keep needVideoDetails true when you need complete metadata, engagement signals, channel profile data, publish dates, or transcript attempts.
For faster list-only collection, set needVideoDetails to false. That mode avoids opening every video detail page and is useful when title, URL, thumbnail, channel, duration, relative publish text, and visible views are enough.
Check scrapingStatus on every row and use transcriptStatus instead of assuming that every public video exposes captions. A null transcript can mean that YouTube exposed no caption track, a track could not be fetched, or the detail request failed.
Keep the first run small. Confirm that channelDescription, channelLinksText, publishedAt, viewCount, and any transcript fields needed by your workflow are present before increasing the channel list or scheduling recurring runs.
Open the run's default dataset in Apify and choose CSV for flat spreadsheet work or JSON for nested fields and programmatic processing. Preserve videoUrl or id as the stable record key and keep a run timestamp when comparing repeated exports.
For recurring monitoring, save the tested input as a Task, schedule it, and send completed datasets to a spreadsheet, database, webhook, or API consumer.
Use public YouTube data for legitimate research, monitoring, and analysis. Review YouTube terms, privacy expectations, and applicable laws, and do not use exported channel data for spam, harassment, or unlawful profiling.
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.
This input requests two normal videos from each channel and enables the detail fields needed for metrics and transcript attempts.
{
"channel": [
"https://www.youtube.com/@adidas/videos",
"zara"
],
"keywords": false,
"numberOfResults": 2,
"needVideoDetails": true,
"proxyMode": "auto"
}The exact values depend on what YouTube exposes for each video and channel.
{
"title": "Example video",
"videoUrl": "https://www.youtube.com/watch?v=example",
"author": "@example",
"publishedAt": "2026-04-30T00:00:00.000Z",
"viewCount": 103403,
"subscriberCount": 2330000,
"channelLinks": {"website": "https://example.com"},
"transcriptStatus": "available",
"scrapingStatus": "success"
}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.
Yes. Open the Apify dataset after a run and choose CSV or Excel. Use JSON when you need nested objects such as channel links.
No. YouTube does not expose caption tracks for every video. Check transcriptStatus and never treat a missing transcript as empty speech.
Yes. Add multiple handles or channel URLs to the channel array and keep the first run small enough to inspect the output.
Use the Newbs YouTube Channel Scraper to collect public channel and video fields in Apify, inspect the dataset, and export it as CSV, JSON, Excel, XML, RSS, or through the Dataset API.
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