Vk Email Scraper - Keyword & Location Targeting

Vk Email Scraper 🔍

Vk Email Scraper helps marketers, recruiters, and sales pros find emails faster by extracting contact addresses from Vk based on your chosen keywords. If you’ve ever spent hours manually hunting for a Vk email extractor, this actor streamlines email extraction and powers Vk lead generation at scale and speed—so you can build targeted outreach lists with less effort.

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🌟 Key Features of Vk Email Scraper

Feature	Benefit
✅ Targeted Keyword Search	Reach the exact Vk audience you need for B2B prospecting and outreach
✅ Location Filtering	Narrow results to a city, region, or country for more relevant Vk contacts
✅ Custom Domain Filter	Extract only emails matching your preferred domains (like @gmail.com or @yahoo.com)
✅ Bulk Export (JSON / CSV)	Use the output immediately in your CRM or email tool workflows
✅ Proxy-Ready	Built-in proxy support for reliable scraping in real-world conditions
✅ Real-Time Saving	Each discovered record is saved to the dataset as the run progresses

These capabilities make this VK email scraper a practical email address extraction tool for anyone doing OSINT email discovery, automated outreach list building, or general Vk contact scraping.

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📥 Input — Vk 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 Vk profiles that may contain contact emails
location	String	No	""	Optional location filter (e.g., a city or region) to focus the extraction
customDomains	Array	No	[]	Optional email domain list to filter results (such as @gmail.com)
maxEmails	Integer	No	20	Cap on the total number of emails to scrape per run to control runtime and cost

Use Vk email extractor keywords strategically (titles, roles, industries) and combine them with domain filters to improve the quality of extracted emails from Vk.

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📤 Output — What Vk Email Scraper Returns

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

{
  "keyword": "manager",
  "title": "Alexandra Petrova",
  "description": "Operations manager. Projects, partnerships, and consulting.",
  "url": "https://vk.com/id12345678",
  "email": "alexandra.petrova@gmail.com"
}

Field	Type	Description
keyword	String	The search term that surfaced this specific Vk contact
title	String	Vk profile name or business title associated with the result
description	String	The profile bio or summary text scraped from Vk
url	String	Direct link to the Vk profile for verification and follow-up
email	String	Extracted email address found in publicly available Vk content

This VKontakte email extractor output structure is designed to make it easy to turn contact data extraction into an actionable Vk email list for outreach.

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

1. Open the Actor — Find Vk Email Scraper on Apify Store
2. Enter Keywords — Add job titles, roles, or business terms relevant to your audience
3. Set Location (optional) — Filter results to a specific city or region
4. Filter by Domain (optional) — Choose domains to match your preferred inbox types (e.g., @gmail.com)
5. Set Max Emails — Control run size with maxEmails to manage scraping time
6. Run the Actor — Start the run and monitor progress in the logs
7. Export Results — Download the dataset (JSON/CSV) from the Apify dataset tab

That’s it—results are ready for lead list building without writing any code.

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💡 Best Use Cases for Vk Email Scraper

• 🎯 B2B Lead Generation — Build a Vk email list for outbound sales campaigns
• 📣 Email Marketing — Use scraped Vk contacts to power email outreach sequences
• 🤝 Recruitment — Find professionals and team-building candidates on Vk
• 🔬 Market Research — Discover active industry voices for your niche
• 📊 CRM Enrichment — Improve records with Vk contact scraping email data

If you’re looking for an email mining from VK profiles workflow, this email address extraction tool is a strong fit.

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Disclaimer

This actor extracts data from publicly available sources on Vk. It does not access private profiles, authenticated content, or password-protected pages. You are responsible for ensuring your use complies with Vk’s Terms of Service, GDPR/CCPA, and applicable anti-spam regulations. This compliance GDPR scraping approach is intended for legitimate use cases such as lead generation, research, and responsible outreach. For data-removal requests, contact 📧 scrapidocontact@gmail.com.

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🆘 Support & Feedback

Have a question or found an issue with the Vk Email Scraper? We’re here to help.

• 🐞 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 improves this Vk email scraper and helps us deliver better Vk email finder results over time.

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.