# YouTube Channel Lead Extractor (`avinashchby/youtube-channel-leads`) Actor Scrape YouTube channels to find creator and business leads with subscriber stats, contact emails, and social links. Perfect for influencer outreach and brand partnerships. - **URL**: https://apify.com/avinashchby/youtube-channel-leads.md - **Developed by:** [Avinash](https://apify.com/avinashchby) (community) - **Categories:** Lead generation, Social media, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Channel Lead Extractor Scrape YouTube channel pages to find creator and business leads with subscriber stats, contact emails, and social links. Perfect for influencer outreach, brand partnerships, and marketing agencies building targeted outreach lists. ### What it does 1. **Scrapes public YouTube channel pages** — loads channel pages via Playwright with anti-bot stealth 2. **Extracts subscriber metrics** — subscriber count, video count with K/M/B parsing 3. **Finds contact details** — business emails from the About page and linked websites, plus phone numbers 4. **Detects business channels** — identifies channels with business inquiries, brand partnerships, and collaboration indicators 5. **Scores channel quality** — 0-100 score based on subscribers, verification, business email, website, and social presence 6. **Filters by criteria** — minimum subscribers, category keywords from description ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `channelUrls` | array | `[@MrBeast, @mkbhd]` | YouTube channel URLs to scrape | | `maxResults` | integer | `10` | Maximum channels to process (1-500) | | `minSubscribers` | integer | `1000` | Skip channels below this subscriber count | | `categories` | array | `[]` | Filter by category keywords in description | | `includeEmail` | boolean | `true` | Extract emails from description and links | | `outputFormat` | string | `json` | `json`, `csv`, `hubspot`, `apollo`, `salesforce` | ### Output Example ```json { "username": "@MrBeast", "channelName": "MrBeast", "description": "SUBSCRIBE FOR A COOKIE!", "subscribers": 385000000, "videoCount": 843, "viewCount": 0, "isVerified": true, "isBusiness": true, "businessEmail": "mrbeast@nightmedia.co", "emails": ["mrbeast@nightmedia.co"], "phones": [], "website": "https://shopmrbeast.com", "socialLinks": { "twitter": "https://twitter.com/MrBeast", "instagram": "https://instagram.com/mrbeast" }, "channelScore": 100, "channelUrl": "https://www.youtube.com/@MrBeast", "profileImage": "https://yt3.googleusercontent.com/...", "scrapedAt": "2026-05-19T08:00:00.000Z" } ```` ### Channel Score Formula | Factor | Points | |--------|--------| | Subscribers 10M+ | 40 | | Subscribers 1M+ | 30 | | Subscribers 100K+ | 20 | | Subscribers 10K+ | 10 | | Subscribers 1K+ | 5 | | Verified badge | 20 | | Has business email | 20 | | Has website | 10 | | Has social links | 10 | ### Limits - **Public channels only** — private or restricted channels show limited data - **Anti-bot protection** — YouTube may block aggressive scraping; delays and stealth args are used - **No login required** — only scrapes publicly visible channel data - **Rate limits** — recommend max 50 channels per run to avoid blocks ### Pricing - **Free tier**: 10 channels per run - **Pay-per-result**: $0.005 per channel processed - **Subscription**: $59/month for unlimited runs ### Support Found a bug or need a custom feature? Open an issue or email support. # Actor input Schema ## `channelUrls` (type: `array`): List of YouTube channel URLs to scrape (e.g., https://www.youtube.com/@MrBeast) ## `maxResults` (type: `integer`): Maximum number of channels to process ## `minSubscribers` (type: `integer`): Skip channels with fewer subscribers than this threshold ## `categories` (type: `array`): Filter by category keywords found in channel description (e.g., 'Tech', 'Gaming', 'Fitness') ## `includeEmail` (type: `boolean`): Extract emails from channel description, about page, and linked websites ## `outputFormat` (type: `string`): Export format for lead data ## Actor input object example ```json { "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd" ], "maxResults": 10, "minSubscribers": 1000, "categories": [], "includeEmail": true, "outputFormat": "json" } ``` # Actor output Schema ## `results` (type: `string`): All extracted leads. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd" ] }; // Run the Actor and wait for it to finish const run = await client.actor("avinashchby/youtube-channel-leads").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd", ] } # Run the Actor and wait for it to finish run = client.actor("avinashchby/youtube-channel-leads").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 '{ "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd" ] }' | apify call avinashchby/youtube-channel-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=avinashchby/youtube-channel-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel Lead Extractor", "description": "Scrape YouTube channels to find creator and business leads with subscriber stats, contact emails, and social links. Perfect for influencer outreach and brand partnerships.", "version": "1.0", "x-build-id": "uT0BMKjzn3vnnstag" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/avinashchby~youtube-channel-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-avinashchby-youtube-channel-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/avinashchby~youtube-channel-leads/runs": { "post": { "operationId": "runs-sync-avinashchby-youtube-channel-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/avinashchby~youtube-channel-leads/run-sync": { "post": { "operationId": "run-sync-avinashchby-youtube-channel-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "channelUrls": { "title": "YouTube Channel URLs", "type": "array", "description": "List of YouTube channel URLs to scrape (e.g., https://www.youtube.com/@MrBeast)", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of channels to process", "default": 10 }, "minSubscribers": { "title": "Minimum Subscribers", "minimum": 0, "type": "integer", "description": "Skip channels with fewer subscribers than this threshold", "default": 1000 }, "categories": { "title": "Category Keywords", "type": "array", "description": "Filter by category keywords found in channel description (e.g., 'Tech', 'Gaming', 'Fitness')", "default": [], "items": { "type": "string" } }, "includeEmail": { "title": "Include Email Extraction", "type": "boolean", "description": "Extract emails from channel description, about page, and linked websites", "default": true }, "outputFormat": { "title": "CRM Export Format", "enum": [ "json", "csv", "hubspot", "apollo", "salesforce" ], "type": "string", "description": "Export format for lead data", "default": "json" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```