Youtube Email Scraper - Keyword & Location Targeting

Youtube Email Scraper 🔍

Youtube Email Scraper helps marketers, recruiters, and sales pros quickly find business contact emails without manually hunting through channels one by one. It’s a YouTube email extractor designed to extract emails from YouTube using your keywords and domain filters—perfect for YouTube lead generation—so you can scale prospecting and speed up outreach with less manual work.

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🌟 Key Features of Youtube Email Scraper

Feature	Benefit
✅ Targeted Keyword Search	Reach the exact YouTube audience you need with keyword-led email extraction
✅ Location Filtering	Geo-target emails by city, region, or country when you add a location value
✅ Custom Domain Filter	Extract only the email domains you care about (for example @gmail.com or @yahoo.com)
✅ Bulk Export (JSON / CSV)	Use the Apify dataset to export results directly into your email tool or CRM workflow
✅ Proxy-Ready	Built for reliable scraping runs with Apify Proxy support
✅ Real-Time Saving	Each result is pushed to the dataset as it’s found—safer for long runs
✅ Run Control with Max Emails	Cap results using maxEmails to control run time and cost during bulk email extraction
✅ Resumable Progress	The actor saves progress so you can continue long-running YouTube email scraper jobs

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📥 Input — Youtube Email Scraper Parameters

{
  "keywords": ["manager", "founder"],
  "location": "",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20
}

Parameter	Type	Required	Default	Description
keywords	Array	✅ Yes	—	Search terms to find relevant YouTube profiles for email extraction
location	String	No	""	Location to filter results for more relevant YouTube channel lead generation
customDomains	Array	No	["@gmail.com","@yahoo.com"]	List of email domains to keep (e.g., only @gmail.com)
maxEmails	Integer	No	20	Maximum number of emails to collect per run; stops when reached to control scraping time

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📤 Output — What Youtube Email Scraper Returns

The actor saves each result as a JSON record in your Apify dataset.

[
  {
    "keyword": "manager",
    "title": "Acme Studio - Operations Manager | YouTube",
    "description": "Behind the scenes at Acme Studio. Contact for collaborations and bookings: hello@acmestudio.com",
    "url": "https://www.youtube.com/@acmestudio",
    "email": "hello@acmestudio.com"
  },
  {
    "keyword": "founder",
    "title": "NovaWorks Founder | YouTube",
    "description": "I share workflows and product updates. For business inquiries: founder@novaworks.io",
    "url": "https://www.youtube.com/@novaworks",
    "email": "founder@novaworks.io"
  }
]

Field	Type	Description
keyword	String	The search term that surfaced this result during your YouTube email extractor run
title	String	YouTube profile name or business title captured alongside the email
description	String	Bio or profile summary where the extracted email was found
url	String	Direct link to the YouTube profile for quick verification and follow-up
email	String	The extracted email address from the YouTube content

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💻 How to Use Youtube Email Scraper — Step-by-Step

1. Open the Actor — Find Youtube Email Scraper on Apify Store
2. Enter Keywords — Add job titles, roles, or business terms you want to target for YouTube email scraping
3. Set Location (optional) — Narrow results by a city or region if your YouTube email list needs geographic relevance
4. Filter by Domain (optional) — Add domains like @gmail.com or @yahoo.com to focus your YouTube channel contact email leads
5. Set Max Emails — Choose maxEmails to cap output and keep runs predictable for bulk email extraction
6. Run the Actor — Start the run and monitor progress in the logs
7. Export Results — Open the Apify dataset and export your scraped records as JSON/CSV for CRM enrichment

No coding required. Results are ready in your dataset.

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💡 Best Use Cases for Youtube Email Scraper

• 🎯 B2B Lead Generation — Build a focused YouTube channel contact email list for outbound sales
• 📣 Email Marketing — Enrich campaigns with fresh web scraping email addresses from YouTube
• 🤝 Recruitment — Identify relevant professionals for roles using targeted YouTube email finder results
• 🔬 Market Research — Compare who advertises contact details across niches and industries
• 📊 CRM Enrichment — Attach extracted emails to existing accounts to boost match quality

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Disclaimer

This actor extracts data from publicly available sources on YouTube. It does not access private profiles, authenticated content, or password-protected pages. You are responsible for ensuring your use complies with YouTube’s Terms of Service, privacy laws (for example GDPR/CCPA), and anti-spam regulations. Use this actor only for legitimate purposes such as lead generation, research, and marketing in compliance with applicable requirements. For data-removal requests, contact 📧 scrapidocontact@gmail.com.

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🆘 Support & Feedback

Have a question or need help with Youtube Email Scraper? We’re here to assist.

• 🐞 Bug Reports: Open a ticket in the repository’s Issues section
• ✨ Custom Solutions & Feature Requests: Reach out to our team
• 📧 Email: scrapidocontact@gmail.com

Your feedback helps improve future YouTube email extractor updates.

Multiple Email Types

Email Types replaces the old single Audience Type choice: select as many kinds of mailbox as you want and the run chases all of them together.

Type	What it matches
Personal / free webmail	Gmail, Outlook, Yahoo, iCloud, AOL, Proton, ...
Business / corporate	Company domains - free webmail and institutions excluded
Education (.edu / .ac)	.edu, .ac.uk, .edu.au, .ac.in and other academic suffixes
Government (.gov / .mil)	.gov, .mil, .gov.uk, .gc.ca, ...
Non-profit (.org)	.org, .ngo, .org.uk, ...

Each selected type contributes its own Google dork patterns and its own domain test, so a result is only kept if it genuinely belongs to the type that found it. Every row carries an emailType field recording which one that was.

Suffixes are matched as real domain suffixes, so cs.mit.edu counts as Education while notedu.com does not.

Setting Custom Email Domains still overrides everything: an explicit domain list is a manual override and replaces the type-driven patterns. The legacy audienceType value is still accepted, so saved inputs keep working.