# Vk Email Scraper - Keyword & Location Targeting (`scrapido/vk-email-scraper`) Actor

🔵 VK Email Scraper extracts profile, group and business emails by keyword and location. 🔓 Custom domain filtering, decoding and dedup. 📤 Export VK leads to CSV, JSON or Excel for CIS market lead generation.

- **URL**: https://apify.com/scrapido/vk-email-scraper.md
- **Developed by:** [Scrapido](https://apify.com/scrapido) (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

from $2.50 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## 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** 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.

***

### 🌟 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.

***

### 📥 Input — Vk Email Scraper Parameters

```json
{
  "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.

***

### 📤 Output — What Vk Email Scraper Returns

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

```json
{
  "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.

***

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

1. **Open the Actor** — Find **Vk Email Scraper** on [Apify Store](https://apify.com/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.

***

### 💡 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.

***

### 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>.

***

### 🆘 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.

# Actor input Schema

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

A list of keywords or queries to search for.

## `audienceType` (type: `string`):

Business Emails runs contextual discovery patterns tuned for company contact pages ("email us at", "contact@", careers, bookings, ...) and filters out consumer webmail domains. Consumer Emails instead searches gmail.com, yahoo.com, outlook.com, hotmail.com and icloud.com directly.

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

Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.

## `customDomains` (type: `array`):

Optional manual override — provide specific email domains to search for (e.g. @hubspot.com) instead of using Audience Type. Leave empty to use Audience Type.

## `emailTypes` (type: `array`):

Which kinds of mailbox to hunt for. Pick as many as you like - each type contributes its own set of Google search patterns and its own domain filter, and every result records the type it was found as. Personal = free webmail (Gmail, Outlook, Yahoo, iCloud). Business = company domains, excluding free webmail and institutions. Education = .edu / .ac.uk and friends. Government = .gov / .mil. Non-profit = .org.

## Actor input object example

```json
{
  "keywords": [
    "manager",
    "founder"
  ],
  "audienceType": "Consumer Emails",
  "maxEmails": 20,
  "customDomains": [],
  "emailTypes": [
    "Personal",
    "Business"
  ]
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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": [
        "manager",
        "founder"
    ],
    "customDomains": [],
    "emailTypes": [
        "Personal",
        "Business"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapido/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": [
        "manager",
        "founder",
    ],
    "customDomains": [],
    "emailTypes": [
        "Personal",
        "Business",
    ],
}

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

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "manager",
    "founder"
  ],
  "customDomains": [],
  "emailTypes": [
    "Personal",
    "Business"
  ]
}' |
apify call scrapido/vk-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapido/vk-email-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/muVxFetLiQFLK3oLQ/builds/bIb6bLJZXRSvI0KM7/openapi.json