Youtube Profile Scraper

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Youtube Profile Scraper 🔍

Youtube Profile Scraper is a focused tool for scraping YouTube channel (profile) details—including subscribers, views, join date, and social links—from publicly available channel pages. Whether you're a marketer, researcher, or data analyst looking to scrape YouTube profiles or build a YouTube channel data scraper workflow, this actor helps you turn channel metadata into structured results at scale—saving you hours of manual work.

Why choose Youtube Profile Scraper?

Key features

• 📊 Channel metadata extraction: Pulls core channel metrics like subscribers, videos_count, and views.
• 🗓️ Join date parsing: Converts the channel’s “Joined …” date into created_date (ISO timestamp format).
• 🔗 Social and external links collection: Captures channel external links listed on the about page.
• 🧾 Comprehensive profile fields: Includes name, handle, Description, profile_image, banner_img, and more.
• 💾 Immediate structured saving: Each scraped channel result is pushed to the dataset as soon as it’s ready.
• 🔄 Resilient retries: Retries failed channel scrapes up to 3 times for better overall success rate.
• 🛡️ Built-in proxy support: Lets you run with proxy configuration for more stable batch scraping.
• 🧠 Consistent identifiers: Produces stable fields like id / identifier and handle_md5 for easier deduplication.

Input

Provide input via an input.json file. Example structure:

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

Input Fields

Output

The actor saves each scraped channel’s data in JSON format into the YouTube Channel Data dataset.

Example output

{
"Description":"Channel description text here",
"Details":{
"location":"Country text here"
},
"Links":[
"https://example.com",
"https://example.org"
],
"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=VIDEO_ID",
"handle":"@CHANNEL_HANDLE",
"handle_md5":"d41d8cd98f00b204e9800998ecf8427e",
"has_podcast":false,
"id":"CHANNEL_ID_HERE",
"identifier":"CHANNEL_ID_HERE",
"input":{
"url":"https://www.youtube.com/@MrBeast/about"
},
"name":"Channel name here",
"profile_image":"https://example.com/avatar.jpg",
"subscribers":1234000,
"timestamp":"2026-06-02T12:34:56.789Z",
"top_videos":[],
"url":"https://www.youtube.com/@channelhandle",
"videos_count":456,
"views":78900000
}

Output Fields

Note: Failure handling in this actor logs errors and retries; when a channel scrape succeeds, the actor pushes the result object shown above to the dataset. (There is no error_message field included in the pushed result schema.)

How to use Youtube Profile Scraper (via Apify Console)

1. Open Apify Console
   Log in at https://console.apify.com and go to the Actors area.

2. Find this actor
   Search for Youtube Profile Scraper and open the actor details page.

3. Go to the INPUT panel
   Paste your input JSON using the built-in form or upload an input.json file.

4. Provide startUrls
   Add one or more YouTube channel URLs to the startUrls array (for example, https://www.youtube.com/@MrBeast/about). This is the list the YouTube channel scraper tool will process.

5. (Optional) Configure proxies
   If you’re running larger batches or want more stable requests, use the proxy configuration options in the actor UI (the actor supports proxy configuration).

6. Click Run
   Start the run. Watch the logs for progress updates and retry messages when a channel scrape needs another attempt.

7. Open the OUTPUT dataset
   When the run completes, open the YouTube Channel Data dataset to view results in a table.

8. Export your data
   Export to JSON/CSV from the dataset view to use in your CRM, analytics workflows, or a YouTube channel data scraper pipeline.

No coding required—get accurate YouTube profile scraper results in minutes. 🚀

Advanced features & SEO optimization

• 🔍 Engineered for YouTube profile scraping: Specifically built for scrape YouTube profiles and return structured YouTube profile data extraction fields.
• 🔄 Resilience at runtime: Includes retries (3 attempts) and short delays for better success across batches.
• 🌐 URL-based automation: Works directly from provided channel URLs so you can run repeatable automated YouTube scraping workflows.
• 🧩 Cleaner identifiers for deduping: Uses identifier/id and handle_md5 to help you merge data across runs.
• 🧾 Structured output ready for analysis: Returns consistently shaped JSON objects ideal for analysts building YouTube metadata scraper datasets.

Best use cases

• 📈 Lead generation teams: Build a structured list of YouTube creators with channel metrics and links for faster outreach targeting.
• 🎓 Market researchers: Compare niches by subscriber counts, views, and join dates using a repeatable YouTube channel scraper API style workflow.
• ✉️ Growth marketers: Enrich campaign research with clean channel profile data to prioritize collaborations and sponsorships.
• 🧠 Data analysts: Load results into spreadsheets/warehouses to study channel growth patterns and content reach over time.
• 🛠️ CRM and data pipeline builders: Feed scraped channel metadata into automated pipelines as structured JSON for downstream processing.
• 🧾 Creator operations & partnerships: Quickly audit channel basics (name, handle, banner, avatar, external links) when shortlisting partners.
• 💻 YouTube channel URL crawler use: Turn a curated list of channel URLs into usable, table-ready data for review and export.

Technical specifications

• Supported Input Formats

  • ✅ startUrls as an array of objects containing url strings for YouTube channel pages

• Proxy Support

  • ✅ Supports proxy configuration (including a proxy workflow when enabled in input)

• Retry Mechanism

  • ✅ Up to 3 retries per start URL when scraping returns no result

• Dataset Structure

  • ✅ Writes results to the YouTube Channel Data dataset with fields including: url, handle, name, subscribers, videos_count, views, created_date, Description, identifier, id, handle_md5

• Rate Limits & Performance

  • ⚠️ Performance varies depending on channel page accessibility and request conditions; retries help resilience during temporary failures

• Limitations

  • ❌ If the actor cannot fetch or parse the necessary page data, a channel may fail after retries
  • ❌ Some fields may be empty or null depending on what is available on the channel page

FAQ

Can I scrape multiple YouTube channels in one run?

✅ Yes. Provide multiple entries in startUrls, and the actor will iterate through them, pushing each successful result into the YouTube Channel Data dataset.

What kind of YouTube profile data does Youtube Profile Scraper extract?

✅ It extracts channel-level details such as name, handle, subscribers, videos_count, views, created_date, Description, and social/external Links, plus assets like profile_image and banner_img.

Do I need to provide “about” URLs specifically?

✅ The example input uses channel “about” URLs (like https://www.youtube.com/@MrBeast/about). The actor’s scraping logic is built around fetching that “about” page view for channel details.

Does it support proxies for scraping reliability?

✅ Yes. You can configure proxies in the input, and the actor is designed to run with proxy support for more stable automated scraping.

Is the output stored automatically, or do I have to collect it manually?

✅ The actor pushes each successful result to the dataset as the run proceeds, so you can inspect and export the results from the YouTube Channel Data dataset afterward.

Can I use this for data analysis and exporting?

✅ Yes. The dataset is structured for table views and can be exported (for example to JSON/CSV from the dataset interface), making it suitable for analysis workflows.

Do you provide an API or code-first integration?

✅ This is an Apify actor, so it can be run via Apify tooling/integration patterns. The actor itself is designed around structured JSON results saved into the dataset—ideal for pipeline automation.

Is this tool legal to use for collecting publicly available YouTube data?

✅ Youtube Profile Scraper is intended to collect data from publicly available sources. It is still your responsibility to comply with applicable laws and the platform’s terms regarding scraping and reuse.

Support & feature requests

Want to improve Youtube Profile Scraper for your workflow? 🚀 Share feedback and feature requests—especially if you’re building a YouTube channel scraper tool for larger datasets.

• 💡 Feature Requests: Ideas like adding more output fields, enriching link handling, or improving export friendliness are welcome.
• 📧 Contact: Email us at dataforleads@gmail.com.

Your feedback helps shape the roadmap for future versions of this YouTube profile scraper.

Youtube Profile Scraper — final thoughts

If you’re looking for a reliable Youtube Profile Scraper that outputs structured YouTube profile data extraction results at scale, this actor is built for exactly that—so you can move faster from URLs to usable datasets. 🚀

Disclaimer

This tool accesses publicly accessible sources only. It does not access private profiles, authenticated content, or password-protected pages.

It’s your responsibility to ensure your usage complies with applicable laws (for example GDPR/CCPA), platform terms, and relevant spam or data-processing regulations.

For data removal requests, contact dataforleads@gmail.com. Always use Youtube Profile Scraper responsibly, ethically, and for legitimate purposes.