# ▶️ YouTube B2B Email Scraper (`simpleapi/youtube-b2b-emails-scraper`) Actor - **URL**: https://apify.com/simpleapi/youtube-b2b-emails-scraper.md - **Developed by:** [SimpleAPI](https://apify.com/simpleapi) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 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/platform/actors/running/actors-in-store#pay-per-event ## 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 B2B Email Scraper **Automatically discover verified business emails from YouTube social media profiles, posts, and bios** using intelligent Google SERP search patterns — no YouTube login required, no API keys needed. > 📊 **Tier Rating:** TIER 1 — Excellent --- ### 🚀 Why Choose This Actor? - ⚡ **Fast & Efficient** — Uses browser impersonation (not a full headless browser) for maximum speed with minimal resource usage - 🎯 **B2B Focused** — 29 pre-built search patterns specifically engineered to find corporate emails (not Gmail/Yahoo noise) - 🔒 **Smart Proxy Fallback** — Auto-escalates from direct → datacenter → residential proxy if blocked - 📊 **Live Results** — Each email is saved to your dataset in real time as it's discovered - 🌍 **Location Targeting** — Filter results by city, region, or country for hyper-local prospecting - 🔑 **Multi-Keyword** — Process dozens of industries/niches in a single run --- ### ✨ Key Features - 🏢 **B2B Mode** — Corporate email discovery (contact@, info@, team@, domain-specific) - 👤 **Personal Mode** — Broader discovery including all email types - 🎨 **29 Pattern Templates** — From booking emails to sponsorship inquiries - 🔄 **Smart Deduplication** — Each email address appears only once in your results - 📍 **Geographic Filtering** — Target specific cities or regions - 🌐 **Platform Locked to YouTube** — Optimized search queries for YouTube.com - ⚡ **Jitter Delays** — Human-like request timing to avoid detection - 📈 **Real-Time Progress** — Live status updates and per-result logging --- ### 📥 Input Configuration ```json { "keywords": ["marketing", "restaurants", "fitness"], "platform": "YouTube.com", "location": "London", "mode": "b2b", "maxEmails": 50, "maxEmailsPerPattern": 15, "selectedPatterns": ["email_for_bookings", "bio_email_basic", "contact_at_domain"], "proxyConfiguration": { "useApifyProxy": false } } ```` | Field | Type | Description | |-------|------|-------------| | `keywords` | `array` | 🔑 Industries/niches to search (required) | | `platform` | `string` | 🌐 Platform domain (default: `YouTube.com`) | | `location` | `string` | 📍 City/region filter (optional, leave empty for global) | | `mode` | `string` | 🎯 `b2b` (corporate emails) or `personal` (all types) | | `maxEmails` | `integer` | 📊 Total email cap (1–50000, default: 10) | | `maxEmailsPerPattern` | `integer` | 🔢 Per-pattern cap in B2B mode (default: 15) | | `selectedPatterns` | `array` | 🎨 Specific patterns (empty = all 29 patterns) | | `proxyConfiguration` | `object` | 🔒 Proxy settings (default: GOOGLE\_SERP proxy) | *** ### 📤 Output Format Each discovered email is saved as a row in the Apify dataset: ```json { "email": "info@example-business.com", "leadType": "b2b", "pattern": "email_for_bookings", "keyword": "marketing", "location": "London", "network": "YouTube.com", "title": "For bookings email info@example-business.com", "description": "Professional marketing agency serving London businesses...", "url": "https://www.youtube.com/...", "scraped_at": "2026-05-25T15:00:00Z" } ``` | Field | Description | |-------|-------------| | `email` | ✅ The discovered business email address | | `leadType` | 🏷️ `b2b` or `personal` | | `pattern` | 🎨 B2B search pattern that found this email | | `keyword` | 🔑 Keyword used in the search | | `location` | 📍 Location filter applied | | `network` | 🌐 Platform (e.g., YouTube.com) | | `title` | 📋 Google result title containing the email | | `description` | 📝 Snippet text from Google result | | `url` | 🔗 Source YouTube page URL | | `scraped_at` | ⏰ UTC timestamp when the email was found | *** ### 🎨 Available B2B Patterns | Pattern | What It Finds | |---------|--------------| | `email_for_bookings` | 📅 Booking & reservation emails | | `bio_email_basic` | 📧 Bio email mentions with emoji | | `job_applications` | 💼 Hiring & careers emails | | `email_direct_mention` | 📬 Direct "email us at" posts | | `contact_at_domain` | 🏢 `info@`, `contact@`, `hello@`, etc. | | `business_development` | 🤝 B2B & partnership emails | | `careers_hiring` | 👥 Recruitment contacts | | `hr_recruitment` | 🏭 HR department emails | | `customer_service` | 🎧 Support & help desk emails | | `sponsor_me` | 💰 Sponsorship opportunity emails | | `professional_services` | 🔧 Agency & consulting contacts | | `bio_email_emoji_extended` | 💌 📩 📮 Emoji email mentions | | `dm_or_email` | 💬 DM or email CTA posts | | + 16 more | ... | *** ### 🚀 How to Use (Apify Console) 1. 🔐 Log in at [console.apify.com](https://console.apify.com) → **Actors** 2. 🔍 Find **YouTube B2B Email Scraper** and click it 3. ⚙️ Configure your inputs: - Add your target keywords (e.g., `marketing`, `restaurants`) - Set your location (e.g., `London`, `New York`) - Choose mode: `B2B` for corporate emails - Set max emails (e.g., `100`) 4. ▶️ Click **Start** 5. 📊 Watch real-time logs as emails are discovered 6. 📋 Open the **Output** tab to see your results table 7. 📁 Export to **JSON / CSV / Excel** *** ### 🔒 Proxy Behavior The actor uses a smart **3-tier proxy escalation system**: ``` 1️⃣ Direct (no proxy) → impit browser impersonation ↓ If blocked 2️⃣ GOOGLE_SERP Datacenter → Apify's Google-optimized proxy ↓ If blocked 3️⃣ Residential Proxy → 3 retry attempts ↓ If all fail ❌ Skip this request, continue with next query ``` Once escalated to residential, **all remaining requests use residential proxy** to maintain consistency. *** ### 🎯 Best Use Cases - 🏢 **B2B Sales Outreach** — Find corporate emails of businesses in your niche - 📍 **Local Business Prospecting** — Target businesses in specific cities - 🤝 **Partnership Discovery** — Find influencer/brand partnership contact emails - 📧 **Email List Building** — Build verified, corporate email lists for campaigns - 🔍 **Market Research** — Understand which businesses are active in your niche *** ### ⚠️ Legal & Ethical Notice - This actor only collects data from **publicly available** Google search results - Only emails that appear in **public YouTube content** are collected. - Users are responsible for compliance with **GDPR, CAN-SPAM, CCPA**, and applicable laws - Do not use collected emails for spam or unsolicited bulk messaging - Review YouTube's and Google's Terms of Service before use *** ### ❓ Frequently Asked Questions **Q: Does this need a YouTube account?** A: No — it searches Google for public YouTube content. **Q: Will it find private account emails?** A: No — only publicly indexed YouTube content is searched. **Q: How many emails can I collect per run?** A: Up to 50,000 per run. Run multiple times for larger lists. **Q: What makes B2B mode different?** A: B2B mode filters out Gmail, Yahoo, Outlook, and other personal email domains, returning only corporate/domain-specific emails. **Q: Do I need Apify proxies?** A: The default uses GOOGLE\_SERP datacenter proxy. Residential proxies are only escalated to if Google blocks requests. *** ### 📞 Support & Feedback - 🐛 Report issues in the **Issues** tab - 💡 Feature requests welcome - ⭐ If this actor saves you time, please leave a review! # Actor input Schema ## `keywords` (type: `array`): 🔎 Search terms for YouTube via Google (e.g. marketing, fitness, real estate). ✨ Add one or many keywords. ## `mode` (type: `string`): 👤 personal = Gmail/Outlook discovery | 🏢 b2b = corporate email patterns ## `customDomains` (type: `array`): 👤 Personal mode: filter results to these domains (e.g. @gmail.com, @outlook.com). ⏭️ Ignored in B2B mode. ## `patterns` (type: `array`): 🏢 B2B only: 📂 empty list runs all patterns; or name specific keys from b2b\_patterns.py (e.g. email\_for\_bookings, bio\_email\_basic). ## `platform` (type: `string`): 📱 Target platform for email discovery (locked to YouTube). ## `location` (type: `string`): 🗺️ Geographic filter added to search queries (e.g. London, New York). 🌍 Leave empty for global results. ## `maxEmails` (type: `integer`): 🎯 Maximum number of emails to collect across all keywords and patterns. ## `maxEmailsPerPattern` (type: `integer`): 📈 Cap emails collected per B2B search pattern (🏢 B2B mode only). ## `useProxy` (type: `boolean`): ✅ Enable proxy for Google Search requests. ⭐ Recommended: on for best results. ## `proxyConfiguration` (type: `object`): 🔧 Optional proxy override when 🛡️ Use Apify Proxy is enabled. 🎯 Leave as default for best performance. ## Actor input object example ```json { "keywords": [ "marketing" ], "mode": "b2b", "customDomains": [ "@outlook.com", "@gmail.com" ], "patterns": [ "email_for_bookings", "bio_email_basic", "contact_at_domain", "business_development" ], "platform": "YouTube.com", "location": "", "maxEmails": 10, "maxEmailsPerPattern": 15, "useProxy": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } } ``` # 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 = { "keywords": [ "marketing" ], "customDomains": [ "@outlook.com", "@gmail.com" ], "patterns": [ "email_for_bookings", "bio_email_basic", "contact_at_domain", "business_development" ], "location": "" }; // Run the Actor and wait for it to finish const run = await client.actor("simpleapi/youtube-b2b-emails-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["marketing"], "customDomains": [ "@outlook.com", "@gmail.com", ], "patterns": [ "email_for_bookings", "bio_email_basic", "contact_at_domain", "business_development", ], "location": "", } # Run the Actor and wait for it to finish run = client.actor("simpleapi/youtube-b2b-emails-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" ], "customDomains": [ "@outlook.com", "@gmail.com" ], "patterns": [ "email_for_bookings", "bio_email_basic", "contact_at_domain", "business_development" ], "location": "" }' | apify call simpleapi/youtube-b2b-emails-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=simpleapi/youtube-b2b-emails-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "▶️ YouTube B2B Email Scraper", "description": null, "version": "1.0", "x-build-id": "eWV6tYtXpGdkjhGy1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/simpleapi~youtube-b2b-emails-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-simpleapi-youtube-b2b-emails-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/simpleapi~youtube-b2b-emails-scraper/runs": { "post": { "operationId": "runs-sync-simpleapi-youtube-b2b-emails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/simpleapi~youtube-b2b-emails-scraper/run-sync": { "post": { "operationId": "run-sync-simpleapi-youtube-b2b-emails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "keywords": { "title": "🔍 Keywords", "type": "array", "description": "🔎 Search terms for YouTube via Google (e.g. marketing, fitness, real estate). ✨ Add one or many keywords.", "items": { "type": "string" } }, "mode": { "title": "🎯 Extraction Mode", "enum": [ "b2b", "personal" ], "type": "string", "description": "👤 personal = Gmail/Outlook discovery | 🏢 b2b = corporate email patterns", "default": "b2b" }, "customDomains": { "title": "📬 Custom Email Domains", "type": "array", "description": "👤 Personal mode: filter results to these domains (e.g. @gmail.com, @outlook.com). ⏭️ Ignored in B2B mode.", "items": { "type": "string" } }, "patterns": { "title": "🔎 B2B Search Patterns", "type": "array", "description": "🏢 B2B only: 📂 empty list runs all patterns; or name specific keys from b2b_patterns.py (e.g. email_for_bookings, bio_email_basic).", "items": { "type": "string" } }, "platform": { "title": "🌐 Platform", "enum": [ "YouTube.com" ], "type": "string", "description": "📱 Target platform for email discovery (locked to YouTube).", "default": "YouTube.com" }, "location": { "title": "📍 Location", "type": "string", "description": "🗺️ Geographic filter added to search queries (e.g. London, New York). 🌍 Leave empty for global results.", "default": "" }, "maxEmails": { "title": "📊 Maximum Total Emails", "minimum": 1, "maximum": 50000, "type": "integer", "description": "🎯 Maximum number of emails to collect across all keywords and patterns.", "default": 10 }, "maxEmailsPerPattern": { "title": "🧩 Max Emails Per B2B Pattern", "minimum": 1, "maximum": 5000, "type": "integer", "description": "📈 Cap emails collected per B2B search pattern (🏢 B2B mode only).", "default": 15 }, "useProxy": { "title": "🛡️ Use Apify Proxy", "type": "boolean", "description": "✅ Enable proxy for Google Search requests. ⭐ Recommended: on for best results.", "default": true }, "proxyConfiguration": { "title": "⚙️ Advanced Proxy Settings", "type": "object", "description": "🔧 Optional proxy override when 🛡️ Use Apify Proxy is enabled. 🎯 Leave as default for best performance.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } } } }, "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 } } } } } } } } } } ```