YouTube Profile Scraper

Youtube Profile Scraper ⚡ — Extract YouTube channel details in bulk

Scraping YouTube channel data one link at a time is slow and easy to mess up—especially when you need consistent fields like subscribers, views, and “joined” dates. Youtube Profile Scraper automates extraction of YouTube channel about-section details into structured records you can analyze or import. It’s a go-to youtube profile scraper and youtube channel scraper for marketers, analysts, and researchers who need youtube profile data scraper results fast. Use it when you want extract youtube profile information at scale from a list of channel URLs, not hours of manual copying. With one run, you can process multiple channel URLs and get clean, dataset-ready output within seconds of starting.

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See the Data: Sample Output

Here's a real record from a single run:

{
  "Description": "We make videos about AI, tools, and build logs.",
  "Details": {
    "location": "United States"
  },
  "Links": [
    "https://example.com",
    "https://twitter.com/example"
  ],
  "banner_img": "https://example.com/banner.jpg",
  "collaborations": null,
  "created_date": "2012-02-19T00:00:00.000Z",
  "featured_channels": null,
  "featured_video": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "handle": "@ExampleChannel",
  "handle_md5": "3a5f7d2c1e9b6f0f9e0f2d1c0a9b8c7d",
  "has_podcast": false,
  "id": "UC1234567890abcdef",
  "identifier": "UC1234567890abcdef",
  "input": {
    "url": "https://www.youtube.com/@ExampleChannel/about"
  },
  "name": "Example Channel",
  "profile_image": "https://example.com/profile.jpg",
  "subscribers": 475000,
  "timestamp": "2026-06-07T12:34:56.789Z",
  "top_videos": [],
  "url": "https://www.youtube.com/@examplechannel",
  "videos_count": 128,
  "views": 116712501993
}

Field	Type	What It Tells You
url	string	Canonical YouTube channel URL that ties the record back to the source channel
handle	string	Channel handle (useful as a stable identifier in your workflow)
name	string	Display name shown for the channel
subscribers	number	Subscriber count extracted from the channel about section
videos_count	number	Total videos count extracted from the channel about section
views	number	Total channel views extracted from the channel about section
created_date	string | null	The channel “joined” date formatted as an ISO timestamp
Description	string	Channel description from the about section (great for topic tagging)
Links	array	External links listed on the channel (often social or website links)
profile_image	string	Profile image URL for quick visual review or enrichment
banner_img	string	Banner image URL for branding context
featured_video	string | null	A featured video URL pulled from the channel home page
id	string	Channel ID (also appears as identifier)
timestamp	string	When the actor captured the record (useful for freshness tracking)

Export your full dataset as JSON, CSV, or Excel from the Apify dashboard.

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Setting It Up

Drop this into your input.json and you're ready to go:

{
  "startUrls": [
    {
      "url": "https://www.youtube.com/@MrBeast/about"
    },
    {
      "url": "https://www.youtube.com/@TechWithTim/about"
    }
  ]
}

Parameter	Required	What It Does
startUrls	✅	List of YouTube channel URLs you want to scrape, typically YouTube “about” pages
↳ startUrls[].url	✅	The full YouTube channel URL to scrape (example format: https://www.youtube.com/@ChannelHandle/about)

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What It Does

Youtube Profile Scraper scrapes YouTube channel details from the channel about information and returns structured JSON records for each URL you provide.

Extract key channel stats from the about section

You’ll get subscribers, videos count, views, and the channel joined date in a format that’s ready for analysis. This makes it a practical youtube profile data scraper when you need consistent metrics across many channels.

Capture channel identity and branding details

The output includes the channel handle, name, profile image, and banner image URLs. That’s useful for enrichment workflows when you’re building a shortlist of channels for campaigns or research.

Collect useful external links automatically

It extracts the channel’s external links (from the channel links area) into a Links array. This is helpful when you’re doing youtube channel link scraper style enrichment for outreach, partner research, or contact discovery workflows.

Provide structured, integration-ready output

Each record is pushed as a dataset row containing fields like Description, Details.location, featured_video, and canonical url. You can take the results straight into data pipelines without rebuilding schemas.

Includes resilience for batch scraping runs

The actor attempts multiple retries per channel when a scrape fails, so larger youtube channel scraper jobs don’t collapse on the first issue. If a URL can’t be scraped after retries, you’ll see it logged—so you can rerun only what’s needed.

Overall, Youtube Profile Scraper delivers automated youtube profile scraping you can trust for turning lists of channel URLs into clean, usable datasets.

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Why Youtube Profile Scraper?

There are plenty of ways to pull data from YouTube—here’s why Youtube Profile Scraper stands out.

Built for dataset-first workflows

Instead of leaving you with messy pages to interpret, Youtube Profile Scraper outputs consistent JSON fields you can export and analyze right away. That’s the difference between “I scraped something” and “I have a usable dataset.”

Designed for batch processing

You can send a list of channel URLs in one run and get results pushed per channel as it completes. This makes it a strong option for youtube channel data extraction when you need speed and repeatability.

Focused on channel about information

It specifically targets the channel about data you care about—subscribers, videos, views, joined date, description, and social links—so your research and reporting stay on-topic. That’s why it works well as a scrape youtube channel about section workflow.

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Real-World Use Cases

Here's how different teams put Youtube Profile Scraper to work:

Sales Teams
A sales team gets a spreadsheet of YouTube creators to prospect, but the stats are missing and the links are inconsistent. They run Youtube Profile Scraper on the provided channel about URLs, then use subscribers, views, and the Links array to prioritize outreach targets and enrich CRM records.

Marketing Analysts
An analyst is building a creator benchmarking report and needs repeatable extraction of youtube metadata scraper fields across many channels. They export the dataset and quickly compare channels by subscribers, videos count, and total views, while using created_date for cohort-style analysis.

Influencer Partnerships
A partnerships manager shortlists creators by niche and presence, then needs fast context about each channel’s branding and links. They pull Description, profile_image, banner_img, and Links for a clean handoff to the outreach team—no manual copy/paste.

Freelance Researchers
A researcher collecting evidence for a market study needs consistent fields like joined date and channel description. With Youtube Profile Scraper, they process multiple youtube user scraper inputs in one run and export the structured dataset for their final deliverable.

Automation & Data Engineering
A developer wants reliable ingestion into a downstream pipeline. They trigger Youtube Profile Scraper via the Apify API, then map the returned fields (like url, handle_md5, and Details.location) into their warehouse tables for refreshable reporting.

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How to Run It

No code required. Here's how to get your first results in under 5 minutes:

1. Open the actor on Apify
   Go to the actor page on Apify at: https://console.apify.com

2. Enter your startUrls
   Add one or more channel URLs in the startUrls array (use the url field for each item, like https://www.youtube.com/@ChannelHandle/about).

3. Configure proxy settings (optional, but recommended)
   If you expect larger batches or intermittent issues, enable the built-in proxy support option in your run settings.

4. Start the run and watch the live log
   The actor will process each provided URL and log progress as it goes.

5. Open the Dataset tab to see results
   Records are saved to the dataset as they’re scraped, with fields like subscribers, views, and Links.

6. Export in your preferred format
   Download your dataset from the dashboard as JSON, CSV, or Excel.

The whole setup takes under 5 minutes — results start appearing within seconds of launch.

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Export & Integration Options

Once your data is collected, Youtube Profile Scraper fits directly into your existing workflow.

You can export your dataset in JSON, CSV, or Excel from the Apify dashboard for analysis, sharing, or importing into tools that support spreadsheets.

If you’re building automation, you can integrate using the Apify API to fetch results programmatically. You can also connect your workflow with automation tools like Zapier or Make, and trigger downstream actions when runs complete via webhooks (based on your Apify setup).

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Pricing

Youtube Profile Scraper runs on Apify, which includes a free tier — no credit card needed to start. You’ll use Apify compute credits for runs, and you can scale up when you need to process more channels or run more frequently. For full details on credits, plans, and billing, check Apify pricing on the pricing page. Start free at apify.com — scale up when you need to.

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Reliability & Limitations

What We Handle	How
Rate limits	Retries and resilient request handling for smoother batch runs
Proxy support	Built-in proxy support can help improve reliability
Retries	Up to 3 attempts per URL before moving on
Partial run recovery	You keep successful records even if some URLs fail
Error handling	Failed channels are logged so you can diagnose and rerun
Batch scale behavior	Works best when you provide a list of channel URLs in startUrls

Limitations: Youtube Profile Scraper focuses on extracting publicly available channel details shown on the about section. If certain channel fields are missing or not available publicly, related fields may be empty or not returned. If a channel isn’t accessible, the actor may fail that record even after retries.

For enterprise-scale needs or custom configurations, reach out and we'll help.

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Frequently Asked Questions

Is there a free plan?

Yes. Apify offers a free tier with monthly usage credits, so you can run smaller tests before committing to larger extraction jobs.

Do I need to log in or create an account on YouTube?

No. This actor works from publicly accessible YouTube channel pages and does not require you to log in to YouTube.

How accurate is the extracted data?

The extracted values come from what’s publicly displayed on the channel pages, including subscriber count, views, videos count, joined date, and the about-section description. If a channel doesn’t publish a field, that field may be missing or empty in the output.

How many results can I get per run?

Your results depend on how many URLs you provide in startUrls and the runtime limits of your Apify run. The actor processes each URL you pass, pushing a dataset record for each successful scrape.

How fresh is the data?

The data freshness matches when the actor ran. Since it captures a timestamp per record, you can track when each channel’s metrics and description were collected.

Is this legal? Does it comply with GDPR / CCPA?

This actor scrapes publicly available data shown on YouTube channel pages. You are responsible for ensuring your use complies with GDPR, CCPA, YouTube’s Terms of Service, and any other applicable regulations.

Can I export to Google Sheets or Excel?

Yes. You can export from the Apify dashboard to CSV or Excel directly, then import into Google Sheets or Excel. For deeper automation, you can use Apify integrations with other tools.

Can I schedule this to run automatically?

Yes. In Apify, you can set scheduled runs depending on your plan and setup, so your youtube profile scraping tool can refresh results on a recurring basis.

Can I access results via the API?

Yes. You can access results programmatically using the Apify API and retrieve dataset items produced by the run.

What happens when the actor encounters an error?

When a URL fails to scrape, the actor logs the issue and retries up to 3 times per URL. If it still can’t scrape that channel, it will move on so the rest of your startUrls list can continue.

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Get Help & Use Responsibly

Got a question about Youtube Profile Scraper or a feature you'd like added? Contact us at dataforleads@gmail.com, and we’ll help you get the most out of your youtube channel scraper workflow. We’re actively maintaining this actor—feature ideas like better output enrichment or additional structured fields are always welcome.

This actor collects data only from publicly available data. It does not access private accounts, login-gated pages, or password-protected content. It’s your responsibility to follow GDPR, CCPA, and platform Terms of Service when using or storing results. For data-removal requests, email dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.