# Vk Email Scraper (`scraper-engine/vk-email-scraper`) Actor

VK Email Scraper extracts publicly available email addresses from VK profiles, pages, and groups. Build targeted contact lists by keyword or region. Ideal for marketers, agencies, and founders running social outreach campaigns.

- **URL**: https://apify.com/scraper-engine/vk-email-scraper.md
- **Developed by:** [Scraper Engine](https://apify.com/scraper-engine) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$19.99/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### **VK** Email Scraper 📱

**VK** Email Scraper allows you to **extract** email addresses from public **VK** profile and group pages efficiently. It focuses on gathering email addresses that users, businesses, and community pages have made publicly visible.

This tool is designed to provide accurate and up-to-date **data**, ensuring that you have reliable information for your campaigns. Whether you're building a marketing list or conducting research, the scraper can handle your needs effectively.

The **extract**ed **data** is organized and ready to use, saving you time and effort. By automating the process, this **VK** email harvesting tool eliminates the need for manual **data** collection.

It is ideal for businesses, marketers, and researchers who want to access publicly listed **VK** contact **emails** quickly and securely.

VK Email Scraper is a powerful tool designed to help you extract email addresses from public VK profiles and groups efficiently. With this scraper, you can gather valuable contact information for marketing, outreach, or research purposes.

VK (VKontakte) is one of the largest social networks in Russia and the CIS region, making it a valuable channel for businesses and marketers targeting that market. By using the VK Email Scraper, you can streamline your efforts and build a targeted email database.

Scraping emails from VK can save you hours of manual work while ensuring accuracy and reliability. This automated VK email extraction tool is built to handle large-scale data collection with ease.

### Support and feedback

- **Bug reports**: Open a ticket in the repository Issues section
- **Custom features**: Contact our enterprise support team
  *Email: dev.scraperengine@gmail.com*

### Extractable Data Table 📊

Each result row contains the following fields:

| Data Type | Description |
| --- | --- |
| network | Source domain the result was found on (vk.com or vk.ru). |
| keyword | The keyword that produced this result. |
| title | Title of the result (usually the profile/group/page name). |
| description | Snippet text from the result, which may contain contact info. |
| url | Direct URL to the VK page. |
| email | Publicly available email address extracted from the result. |

### Key Features of **VK** Email Scraper

Here are the **standout features** that make the **VK** Email Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**:

- ⭐ **Automated** email extraction from public **VK** pages for efficiency
- ⭐ Supports large-scale data scraping with high accuracy
- ⭐ User-friendly interface suitable for both beginners and experts
- ⭐ Keyword, location, and email-domain filtering for targeted results
- ⭐ **Customizable** scraping options to target specific content
- ⭐ **Fast** and reliable data processing for quick results
- ⭐ **Secure** and compliant with data privacy standards
- ⭐ Export data in various formats such as CSV or JSON
- ⭐ **Regular** updates to ensure compatibility with **VK**'s platform
- ⭐ **Advanced** filtering options to refine your data collection
- ⭐ 24/7 customer support for troubleshooting and assistance
- ⭐ Scalable solution for businesses of all sizes

### How to use **VK** Email Scraper 🚀

Follow this **simple, step-by-step guide** to start extracting **VK** emails today:

1. ✅ **Sign up** for an account on the platform hosting the **VK** Email Scraper
2. ✅ Log in to the dashboard and locate the **VK** Email Scraper tool
3. ✅ **Input** your search criteria such as keywords or location
4. ✅ Configure the email domain filter to target specific providers
5. ✅ Set any additional filters to narrow down your scraping results
6. ✅ Click on the start button to initiate the scraping process
7. ✅ Monitor the progress of the scraper through the dashboard
8. ✅ Once completed review the extracted data for accuracy
9. ✅ **Export** the data in your preferred format such as CSV or JSON
10. ✅ Use the data for your marketing research or outreach campaigns
11. ✅ Adjust your scraping settings for future extractions as needed
12. ✅ Contact support if you encounter any issues during the process

### Use Cases 🎯

Marketing Campaigns
🎯 Build a targeted email list for **VK**-focused marketing campaigns
🎯 Reach out to community managers and brand pages for collaborations

Business Development
🎯 **Identify** potential partners or clients active on **VK**
🎯 Expand your network by connecting with **VK** businesses and creators

Market Research
🎯 **Analyze** **VK** content trends relevant to your niche
🎯 Gather data to understand the Russian-speaking social media market

Content Promotion
🎯 Promote your products or services to **VK**-adjacent audiences via email
🎯 Leverage **VK** contact data to boost your outreach

### Why choose us? 💎

Our **VK** Email Scraper is designed to provide a seamless and efficient data extraction experience. With its **advanced** features, you can gather accurate and **reliable** email addresses from public **VK** pages effortlessly.

This tool is ideal for businesses, marketers, and researchers looking to save time and resources. We prioritize user satisfaction by offering a **user-friendly** interface and customizable options.

Our scraper is built to handle large-scale data collection, making it suitable for projects of any size. Additionally, we ensure compliance with data privacy regulations to protect your interests.

Regular updates and 24/7 customer support ensure that you have a smooth scraping experience. Choose our **VK** email extraction tool for its reliability, scalability, and ease of use.

### **VK** Email Scraper Scalability 📈

**VK** Email Scraper is built to handle projects of all sizes, from small-scale extractions to enterprise-level operations. Its robust infrastructure ensures that you can scrape large volumes of data without compromising on speed or accuracy.

Whether you're targeting a few keywords or many, the scraper adapts to your needs **seamless**ly. With **customizable** options and **advanced** filtering, you can refine your data collection process for optimal results.

Our tool is designed to grow with your business, providing a scalable solution for evolving requirements. By automating the data extraction process, you can focus on analyzing and utilizing the information effectively.

Experience unmatched scalability with our **VK** email harvesting tool.

### **VK** Email Scraper Legal Guidelines ⚖️

**Yes**—scraping **VK** is **legal** as long as you follow **ethical** and **compliant** practices. The **VK** Email Scraper extracts only **publicly available** information from **public** **VK** pages, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**.

#### Legal & Ethical Guidelines

⚖️ **Ensure** compliance with **VK**'s terms of service before using the scraper
⚖️ **Only** collect publicly available information from **VK** pages
⚖️ **Do not** use the scraper for spamming or unsolicited marketing purposes
⚖️ Respect user privacy and avoid extracting sensitive or private data
⚖️ **Use** the extracted data responsibly and ethically for legitimate purposes
⚖️ Stay updated on data privacy laws and regulations in your region
⚖️ **Obtain** user consent if required for your specific use case
⚖️ **Avoid** overloading **VK**'s servers to prevent disruptions

### Input Parameters 🧩

📦 Example Input (JSON)

```json
{
  "keywords": ["marketing", "founder"],
  "platform": "Vk",
  "location": "",
  "emailDomains": ["@gmail.com"],
  "maxEmails": 10,
  "engine": "legacy",
  "proxyConfiguration": { "useApifyProxy": false }
}
```

### Input Table

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| keywords | array | ✅ Yes | Keywords used to find relevant VK pages. One or more. |
| platform | string | No | Platform to scrape. Currently `Vk`. |
| location | string | No | Optional location filter (e.g. `Moscow`). Empty = global. |
| emailDomains | array | No | Keep only emails from these domains (e.g. `@gmail.com`). Custom/business domains supported. Empty = all domains. |
| maxEmails | integer | No | Max emails to collect per keyword (default `10`, range 1–100000). |
| engine | string | No | Processing engine. Currently `legacy`. |
| proxyConfiguration | object | No | Proxy settings. Empty = the actor auto-selects the best proxy (recommended). |

> ℹ️ Emails are sourced from publicly available information only. Yield depends on how many pages publicly expose a contact email, and on how well the platform's content is indexed by web search. Broaden `keywords`/`emailDomains` and raise `maxEmails` for more results. Because VK's audience is predominantly Russian-speaking, note that `@mail.ru`, `@yandex.ru`, `@inbox.ru`, `@list.ru`, and `@bk.ru` are far more common contact-email domains among its users than `@gmail.com` — try those filters (or leave the filter empty) for higher yield. Results may be labeled with either `vk.com` or `vk.ru` since VK operates both as live, equivalent domains for the same content.

### Output Format 📤

📝 Example Output (JSON)

```json
[
  {
    "network": "vk.com",
    "keyword": "marketing",
    "title": "Example Marketing Agency | VK",
    "description": "Digital marketing agency · Business inquiries: contact@examplebrand.ru",
    "url": "https://vk.com/exampleagency",
    "email": "contact@examplebrand.ru"
  }
]
```

### Output Table

| Data Type | Description |
| --- | --- |
| network | Source domain (vk.com or vk.ru) |
| keyword | Keyword that triggered the result |
| title | Result title (usually the profile/group/page name) |
| description | Public snippet, may contain contact info |
| url | Direct VK page link |
| email | Extracted email address |

### FAQ ❓

#### What is VK **Email Scraper**?

VK Email Scraper is a tool designed to extract publicly available email addresses from VK pages efficiently.

#### Is it **legal** to scrape emails from VK?

**Yes**, as long as you comply with VK's terms of service and only collect **publicly available** information.

#### What data can I **extract** using this tool?

You can extract email addresses along with the result title, snippet, and page URL for each match.

#### How accurate is the **extract**ed data?

The scraper is designed to provide accurate and up-to-date data, but accuracy depends on the availability of public information and on how much VK content is indexed by web search.

#### Can I use this tool for **large-scale** data scraping?

**Yes**, the VK Email Scraper is built to handle large-scale data extraction efficiently.

#### What formats are supported for **export**ing data?

You can export the extracted data in formats such as **CSV** or **JSON**.

#### Is the scraper easy to use?

**Yes**, it features a **user-friendly** interface suitable for both beginners and advanced users.

#### Do you provide **customer support**?

**Yes**, we offer 24/7 customer support to assist with any issues or questions.

#### How often is the tool updated?

The scraper is regularly updated to ensure compatibility with VK's platform.

#### Can I customize the data **extract**ion process?

**Yes**, you can customize the scraping settings to target specific keywords, locations, and email domains.

#### Is my data **secure** when using this tool?

**Yes**, we prioritize data security and ensure **compliance** with privacy standards.

#### Can I scrape **private** pages with this tool?

**No**, the tool only extracts **publicly available** information from VK pages.

#### What are the system requirements for using the scraper?

The scraper is cloud-based and does not require specific system requirements.

#### Do I need technical skills to use this tool?

**No**, the tool is designed to be **user-friendly** and does not require advanced technical knowledge.

#### Can I try the scraper before purchasing?

**Yes**, we offer a free trial so you can test the tool before committing to a subscription.

# Actor input Schema

## `keywords` (type: `array`):

🎯 The words that power your search! Add one or more keywords (e.g. \['marketing']) and the actor finds public VK profile/group pages matching them, then 📧 extracts any email addresses it finds. 💡 Tip: more specific keywords = more targeted leads.

## `platform` (type: `string`):

📱 The site to scrape. Currently locked to VK — more platforms coming soon! 🚀

## `location` (type: `string`):

🗺️ Optional geo-targeting! Add a city or region (e.g. 'Moscow' 🇷🇺, 'London' 🇬🇧, 'New York' 🗽) to narrow results to pages mentioning that place. ✨ Leave empty to search the whole globe 🌍.

## `emailDomains` (type: `array`):

🎛️ Keep only emails from the domains you care about — type as many as you like! ✍️ Popular picks: 📮 @gmail.com · 📨 @outlook.com · 💌 @hotmail.com · 💜 @yahoo.com. 🇷🇺 Since VK's audience is heavily Russian-speaking, also try the regional favorites: 📧 @mail.ru · 🟡 @yandex.ru · 📥 @inbox.ru · 📬 @list.ru · 📗 @bk.ru — these are far more common among VK users than Western webmail. 🏢 Custom/business domains work too — e.g. @yourcompany.com. 🕳️ Leave empty to collect emails from ALL domains. 💡 Adding a domain also sharpens the search 🎯.

## `maxEmails` (type: `integer`):

🎚️ How many emails to collect per keyword before moving on. ⚡ Higher = more leads but longer runs. Default is 10 ✅ (range 1 – 100,000).

## `engine` (type: `string`):

🔧 The processing engine. Currently 'legacy' 🛡️ — a reliable, battle-tested extraction pipeline. More engines on the roadmap! 🚧

## `proxyConfiguration` (type: `object`):

🌐 Control how the actor connects to the internet. 🆓 Leave it empty and the actor auto-selects the best proxy for reliable results. 🔄 On any failed response it rotates the connection and retries up to 3× automatically. 🧠 Advanced users can plug in custom proxies here.

## Actor input object example

```json
{
  "keywords": [
    "marketing"
  ],
  "platform": "Vk",
  "location": "",
  "emailDomains": [
    "@gmail.com"
  ],
  "maxEmails": 10,
  "engine": "legacy",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "marketing"
    ],
    "emailDomains": [
        "@gmail.com"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraper-engine/vk-email-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["marketing"],
    "emailDomains": ["@gmail.com"],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("scraper-engine/vk-email-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "marketing"
  ],
  "emailDomains": [
    "@gmail.com"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call scraper-engine/vk-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scraper-engine/vk-email-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/gE5jVausPx1Ifdo8A/builds/eeVXoIfh9jMbaOGl6/openapi.json