# Youtube Email Scraper - Domain Filter & Deduplication (`insightflow/youtube-email-scraper-powerful-and-intelligent`) Actor

▶️ YouTube Email Scraper — turn YouTube searches into a clean channel email list. Filter by keyword, location and domain, merge alias duplicates and decode hidden addresses. 🎬 For influencer marketing & video ad sales.

- **URL**: https://apify.com/insightflow/youtube-email-scraper-powerful-and-intelligent.md
- **Developed by:** [InsightFlow](https://apify.com/insightflow) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.99 / 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

### Youtube Email Scraper 🔍

**Youtube Email Scraper** helps marketers, recruiters, sales pros, and researchers extract emails from Youtube faster than manual browsing. It’s designed for Youtube lead generation, creator contact extraction, and anyone who needs a practical YouTube email extractor to find relevant public contact details at scale.

### 🌟 Key Features of Youtube Email Scraper

| Feature | Benefit |
|---|---|
| ✅ **Keyword-Based Discovery** | Uses your keywords to find relevant Youtube channels and public contact details. |
| ✅ **Custom Email Domain Filters** | Focus on specific addresses like `@gmail.com` or `@yahoo.com` for better targeting. |
| ✅ **Location Filter** | Narrow results by location when you want more focused YouTube prospecting. |
| ✅ **Max Emails Cap** | Stops when your chosen limit is reached, helping control time and cost. |
| ✅ **Incremental Saving** | Saves each result as it’s found, reducing the risk of losing progress on longer runs. |
| ✅ **Resume Support** | Keeps track of progress so you can continue from where a previous run left off. |
| ✅ **Built-In Proxy Support** | Uses built-in proxy support for more reliable scraping of public web data. |
| ✅ **Resilient Processing** | Includes retries and fallbacks for better stability during larger runs. |

### 📥 Input — Youtube Email Scraper Parameters

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

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `keywords` | Array | ✅ Yes | `["manager","founder"]` | A list of keywords or queries used to find relevant Youtube profiles and public contact information. |
| `location` | String | No | `""` | Optional location filter to narrow results by a specific place or region. |
| `customDomains` | Array | No | `["@gmail.com","@yahoo.com"]` | Email domains to look for, such as common free email providers or company domains. |
| `maxEmails` | Integer | No | `20` | The maximum number of emails to collect before the actor stops. |

### 📤 Output — What Youtube Email Scraper Returns

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

```json
{
  "keyword": "founder",
  "title": "Maya Johnson | Startup Advisor",
  "description": "Founder and advisor helping early-stage brands grow. For partnership inquiries: maya.johnson@gmail.com",
  "url": "https://www.youtube.com/watch?v=Qw1a9x7Lk2M",
  "email": "maya.johnson@gmail.com"
}
```

| Field | Label | Format | Description |
|---|---|---|---|
| `keyword` | Keyword | text | The keyword that produced the result. |
| `title` | Title | text | The title of the Youtube result associated with the contact information. |
| `description` | Description | text | The public description text where the email was found. |
| `url` | Url | link | The public URL of the result. |
| `email` | Email | text | The email address extracted from the public description text. |

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

1. **Open the Actor** — Find **Youtube Email Scraper** on Apify and open the actor page.
2. **Enter Keywords** — Add one or more keywords that match the creators, brands, or niches you want to reach.
3. **Set Location** — Optionally narrow your Youtube contact scraper results by location.
4. **Add Email Domains** — Choose the email domains you want to prioritize, such as common inbox providers or company domains.
5. **Set Max Emails** — Limit the number of results to keep your Youtube lead generation run efficient.
6. **Run the Actor** — Start the run and monitor progress in the logs.
7. **Export Results** — Download the dataset when finished and use it for outreach, research, or enrichment.

*No coding required. Results are ready in minutes.*

### 💡 Best Use Cases for Youtube Email Scraper

- 🎯 **YouTube Lead Generation** — Build targeted lists of Youtube marketing leads for outreach campaigns.
- 📣 **Email Marketing** — Find public creator contact details for newsletter partnerships and promotions.
- 🤝 **Influencer Outreach** — Use this influencer email scraper to contact video creators directly.
- 🔬 **Market Research** — Study public creator contact patterns and niche audiences.
- 📊 **CRM Enrichment** — Add found emails to your existing contact database for better coverage.

### Disclaimer

This actor only accesses publicly available data on Youtube. It does not scrape private profiles, authenticated content, or password-protected pages. Users are solely responsible for ensuring their use complies with Youtube’s Terms of Service, GDPR, CCPA, and applicable anti-spam laws. This tool is intended for legitimate purposes only, including lead generation, research, and marketing in compliance with local regulations. For data-removal requests, contact 📧 <insightflowofficial@gmail.com>.

### 🆘 Support & Feedback

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

- 🐞 **Bug Reports:** Share the issue with our team so we can investigate it.
- ✨ **Custom Solutions & Feature Requests:** Let us know what you’d like to see next.
- 📧 **Email:** <insightflowofficial@gmail.com>

Your feedback shapes the roadmap — we read every message.

### MX Lookup

Every address is checked at the DNS level: the actor resolves the mail domain's
MX records and reports what it found.

| Field | Meaning |
| --- | --- |
| `mxFound` | `true` when the domain publishes at least one mail server |
| `mxHost` | The lowest-preference (primary) mail server |
| `mxRecords` | Every MX record found, in preference order |
| `mxProvider` | Who runs the mail: Google Workspace, Microsoft 365, Zoho, Proton, ... |
| `mxStatus` | `found`, `no_records`, `no_such_domain`, `timeout`, `error`, or `skipped` |

**Inputs**

- **MX Lookup** - turn the check on or off (default: on).
- **Only keep contacts whose domain has an MX record** - drop unreachable domains.
  Only a definite negative (`no_records` / `no_such_domain`) drops a contact; a
  timeout or resolver error is treated as unknown and the lead is kept.
- **MX lookup timeout (seconds)** - per-domain DNS budget, 1-15s.

This is a domain-level check. It confirms the domain can receive mail; it does
not verify that an individual mailbox exists.

# Actor input Schema

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

A list of keywords or queries to search for.

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

Location to filter search results.

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

List of custom email domains

## `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.

## `minLeadScore` (type: `integer`):

Drop any contact whose Lead Score (0-100) falls below this. Leave at 0 for no filter.

## `mxLookup` (type: `boolean`):

Resolve each address's domain to its mail servers. Adds the resolved MX hosts and the mail provider (Google Workspace, Microsoft 365, ...) to every result, and feeds the Lead Score. DNS-level only - it confirms the domain can receive mail, not that the individual mailbox exists.

## `requireMxRecord` (type: `boolean`):

Drop any contact whose domain provably accepts no mail. A lookup that times out or errors is treated as unknown and kept, so a DNS hiccup never silently deletes good leads.

## `mxTimeoutSecs` (type: `integer`):

How long to wait for each DNS answer. Clamped to 1-15 seconds.

## Actor input object example

```json
{
  "keywords": [
    "manager",
    "founder"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20,
  "minLeadScore": 0,
  "mxLookup": true,
  "requireMxRecord": false,
  "mxTimeoutSecs": 3
}
```

# 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"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("insightflow/youtube-email-scraper-powerful-and-intelligent").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",
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("insightflow/youtube-email-scraper-powerful-and-intelligent").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"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ]
}' |
apify call insightflow/youtube-email-scraper-powerful-and-intelligent --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,insightflow/youtube-email-scraper-powerful-and-intelligent"
        }
    }
}

```

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/Ur1bNBGVYMnrTRpf8/builds/uivzY0vAeedHKiawm/openapi.json