# YouTube Creator Leads - Channel Email Scraper (`oriented_wallpaper/youtube-leads-scraper`) Actor Find YouTube creator leads by keyword or channel — extract emails from channel descriptions + linked sites, subscriber filters, verified flag, 0-100 lead score, AI cold openers. Export CSV/JSON. - **URL**: https://apify.com/oriented\_wallpaper/youtube-leads-scraper.md - **Developed by:** [Flash Scrape](https://apify.com/oriented_wallpaper) (community) - **Categories:** Social media, Other, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Email Scraper - Channel & Creator Leads **Scrape YouTube emails and turn channels into a contactable creator-leads list.** This YouTube email scraper searches any niche by keyword (or takes channel handles/URLs you already have) and returns each channel's **email** — pulled from both the channel description/About page *and* the linked website — alongside subscriber counts, niche/category, social links, a 0–100 lead score, and an optional AI-written cold-email opener. Export everything to CSV, JSON, or Excel. Built for creator and influencer outreach, brand partnerships, agencies, and B2B cold email, this scraper gives you clean, scored, contactable data — not a raw video dump. --- ### How to scrape YouTube for leads Getting creator leads out of YouTube takes three steps, and you don't need to write any code or supply an API key: 1. **Pick your targets.** Enter one or more search keywords (e.g. `home barista`, `real estate agent`, `vegan recipes`) to discover channels in a niche, *or* paste specific `@handles` / channel URLs you already want. 2. **Set your filters.** Choose a subscriber band, verified-only, has-website, or has-email so you only keep — and pay for — leads worth contacting. 3. **Run it.** The scraper discovers channels, reads each About page, finds emails on the page *and* the linked site, dedupes, scores every lead 0–100, and (optionally) writes a personalized opener. Results land on the Output tab as a sortable table, ready to export. That's how you scrape YouTube creator emails at scale without a YouTube Data API key, quotas, or OAuth setup. --- ### What data you get Every run returns one row per channel, best-scored leads first. For each YouTube creator you get: - **Find the email behind a channel** — scanned from the channel description/About page *and* the linked website (home / contact / about pages). - **Discover channels by keyword** — pull a whole niche by search term; no starting list required. - **Get subscriber counts and niche** — real reach plus the channel's category, so you can prioritize by audience size. - **Pull social links** — Instagram, Twitter/X, Facebook, and LinkedIn handles harvested from the description and linked site. - **Score every lead 0–100** — ranks by email present, linked site, subscriber-band fit, and verified status, so the best prospects sort to the top. - **Auto-dedupe creators** — the same handle / website / email collapses into a single clean row. - **Generate an AI cold-email opener** — an optional one-line, personalized icebreaker per lead, written with **your own** OpenAI or Anthropic key. --- ### Filters & options Trim the run to the leads you actually want — you're only charged for leads delivered *after* filtering. - Filter YouTube channels by minimum and maximum subscribers (target nano, micro, or macro tiers). - Keep only verified channels. - Keep only channels with a linked website (you can't enrich an email without one). - Keep only channels where an email was found (best for cold-email campaigns). - Cap the number of channels enriched to control cost. #### Input | Field | What it does | |---|---| | **searchKeywords** | Keywords to discover channels by, one per line (e.g. `home barista`). | | **channels** | Scrape specific channels directly — `@handles` or channel URLs, one per line. | | **maxResults** | Videos pulled per keyword during discovery (drives how many channels are found). | | **maxCreators** | Cap on unique channels to enrich (controls cost). | | **minSubscribers** | Keep only channels at or above this count (0 = off). | | **maxSubscribers** | Keep only channels at or below this count (0 = off). | | **onlyVerified** | Keep only verified channels. | | **onlyWithWebsite** | Keep only channels with a linked website. | | **onlyWithEmail** | Keep only channels with an email found. | | **enrichEmails** | Visit the linked website to find emails + social links (default on, no key needed). | | **writeOpeners** | Add an AI cold-opener per lead — needs your OpenAI/Anthropic key. | | **llmProvider / llmApiKey / llmModel** | Your AI provider and key for openers (used once per run, never stored). | Provide at least one of **searchKeywords** or **channels**. ```json { "searchKeywords": ["home barista", "specialty coffee"], "maxResults": 50, "maxCreators": 30, "minSubscribers": 5000, "maxSubscribers": 500000, "onlyWithEmail": true, "enrichEmails": true, "writeOpeners": false } ```` #### JSON output sample ```json { "lead_score": 95, "handle": "somebaristachannel", "name": "Some Barista Channel", "category": "Food & Drink", "location": "Portland, OR", "subscribers": 84200, "email": "hello@somebaristachannel.com", "email_status": "found", "website": "https://somebaristachannel.com", "instagram": "https://instagram.com/somebaristachannel", "twitter": "https://x.com/somebarista", "verified": false, "bio": "Pour-over tutorials, gear reviews and café visits. Contact: hello@somebaristachannel.com", "icebreaker": "Loved your pour-over series — the milk-texturing breakdown was gold…", "profile_url": "https://www.youtube.com/@somebaristachannel" } ``` Results render as a clean, sortable table on the Output tab and export to **CSV, JSON, or Excel**. *** ### Use with AI agents & automation This YouTube email scraper plugs straight into your stack. Call it from an AI agent over Apify's **MCP** server, or wire the dataset into **Make**, **n8n**, or **Zapier** to push fresh creator leads into your CRM, email sequencer, or a **Google Sheets** tab automatically. The clean, flat JSON (one row per channel) maps cleanly to columns, so no transformation is needed before it hits your outreach tool. *** ### Pricing You're charged per usage on Apify's platform, and — thanks to the lead filters — you only pay for the leads delivered *after* filtering. Discovery volume (`maxResults`) and the number of channels enriched (`maxCreators`) are the main cost levers, so cap them to control spend. The optional AI openers run on **your own** OpenAI/Anthropic key, so that cost is billed by your provider, not here. *** ### Other Flash Scrape scrapers Need leads from another platform? Pair this with the rest of the Flash Scrape suite: - [Google Maps Leads Scraper](https://apify.com/oriented_wallpaper/google-maps-leads-opener) — Google Maps business leads - [Yelp Leads Scraper](https://apify.com/oriented_wallpaper/yelp-leads-scraper) — Yelp business leads - [BBB + Yellow Pages Leads Scraper](https://apify.com/oriented_wallpaper/bbb-yellowpages-leads-scraper) — BBB + Yellow Pages leads - [Instagram Leads Scraper](https://apify.com/oriented_wallpaper/instagram-leads-scraper) — Instagram profile leads - [TikTok Leads Scraper](https://apify.com/oriented_wallpaper/tiktok-leads-scraper) — TikTok creator leads - [Smart Scraper by Example](https://apify.com/oriented_wallpaper/smart-scraper-by-example) — no-code web scraper *** ### FAQ **Is it legal to scrape YouTube emails?** The scraper only collects **public** channel data — the same About-page and website information any visitor can see. Use it for legitimate outreach and follow YouTube's terms plus anti-spam laws (CAN-SPAM, GDPR) in how you contact people. **Do I need an API key?** No. Email discovery and enrichment work without any key, quota, or OAuth. The only time you supply a key is for the optional AI cold-openers, and it's **your** OpenAI/Anthropic key — used once per run and never stored. **How many results can I get?** As many as your keywords surface and your budget allows. `maxResults` controls how many videos are scanned per keyword during discovery, and `maxCreators` caps how many unique channels get enriched (up to 500 per run). Raise them for bigger pulls, lower them to control cost. **Will every channel have an email?** No. YouTube only exposes a contact email for some channels; the rest depend on what's in the description or on the linked site. Turn on `onlyWithEmail` to keep just the contactable leads. **Do I need a channel list?** No — keyword search discovers channels for you. You can also paste specific `@handles` or channel URLs if you already have targets. **Can I export to CSV / Google Sheets?** Yes. Every run exports to CSV, JSON, or Excel from the Output tab, and you can sync the dataset directly into Google Sheets via Make, n8n, or Zapier. # Actor input Schema ## `searchKeywords` (type: `array`): Discover channels by keyword search — one per line. e.g. 'home barista', 'real estate agent', 'vegan recipes'. ## `channels` (type: `array`): Scrape specific channels directly — @handles or channel URLs, one per line. e.g. '@mkbhd' or 'https://www.youtube.com/@veritasium'. ## `maxResults` (type: `integer`): How many videos to pull per keyword during discovery (drives how many channels are found). ## `maxCreators` (type: `integer`): Cap on unique channels to scrape the about page for + enrich (controls cost). ## `minSubscribers` (type: `integer`): Keep only channels with at least this many subscribers (0 = no filter). ## `maxSubscribers` (type: `integer`): Keep only channels with at most this many subscribers (0 = no cap). Use with min to target nano/micro/macro tiers. ## `onlyVerified` (type: `boolean`): Keep only verified YouTube channels. ## `onlyWithWebsite` (type: `boolean`): Drop channels with no external link on their About page (you can't enrich an email without one). ## `onlyWithEmail` (type: `boolean`): Drop channels where no email could be found. Best for cold-email campaigns. ## `enrichEmails` (type: `boolean`): Visit each channel's linked website (home + /contact + /about) to extract emails and social links. Higher email fill-rate. No key needed. ## `writeOpeners` (type: `boolean`): Generate a personalized one-sentence outreach opener for each lead. Requires your OpenAI/Anthropic key below. ## `llmProvider` (type: `string`): Which model writes the openers. ## `llmApiKey` (type: `string`): Your own OpenAI or Anthropic API key. Used only to write the openers; never stored. ## `llmModel` (type: `string`): Override the default model (gpt-4o-mini for OpenAI, claude-haiku-4-5-20251001 for Anthropic). ## Actor input object example ```json { "searchKeywords": [ "coffee shop" ], "channels": [ "@mkbhd" ], "maxResults": 50, "maxCreators": 30, "minSubscribers": 0, "maxSubscribers": 0, "onlyVerified": false, "onlyWithWebsite": false, "onlyWithEmail": false, "enrichEmails": true, "writeOpeners": false, "llmProvider": "openai" } ``` # Actor output Schema ## `results` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchKeywords": [ "home barista" ] }; // Run the Actor and wait for it to finish const run = await client.actor("oriented_wallpaper/youtube-leads-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 = { "searchKeywords": ["home barista"] } # Run the Actor and wait for it to finish run = client.actor("oriented_wallpaper/youtube-leads-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 '{ "searchKeywords": [ "home barista" ] }' | apify call oriented_wallpaper/youtube-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oriented_wallpaper/youtube-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Creator Leads - Channel Email Scraper", "description": "Find YouTube creator leads by keyword or channel — extract emails from channel descriptions + linked sites, subscriber filters, verified flag, 0-100 lead score, AI cold openers. Export CSV/JSON.", "version": "0.1", "x-build-id": "WzdnM8sRxcV3czfKd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oriented_wallpaper~youtube-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oriented_wallpaper-youtube-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oriented_wallpaper~youtube-leads-scraper/runs": { "post": { "operationId": "runs-sync-oriented_wallpaper-youtube-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oriented_wallpaper~youtube-leads-scraper/run-sync": { "post": { "operationId": "run-sync-oriented_wallpaper-youtube-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchKeywords": { "title": "Search keywords", "type": "array", "description": "Discover channels by keyword search — one per line. e.g. 'home barista', 'real estate agent', 'vegan recipes'.", "items": { "type": "string" } }, "channels": { "title": "Channels (handles or URLs)", "type": "array", "description": "Scrape specific channels directly — @handles or channel URLs, one per line. e.g. '@mkbhd' or 'https://www.youtube.com/@veritasium'.", "items": { "type": "string" } }, "maxResults": { "title": "Max discovery results per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many videos to pull per keyword during discovery (drives how many channels are found).", "default": 50 }, "maxCreators": { "title": "Max channels to enrich", "minimum": 1, "maximum": 500, "type": "integer", "description": "Cap on unique channels to scrape the about page for + enrich (controls cost).", "default": 30 }, "minSubscribers": { "title": "Minimum subscribers", "minimum": 0, "type": "integer", "description": "Keep only channels with at least this many subscribers (0 = no filter).", "default": 0 }, "maxSubscribers": { "title": "Maximum subscribers", "minimum": 0, "type": "integer", "description": "Keep only channels with at most this many subscribers (0 = no cap). Use with min to target nano/micro/macro tiers.", "default": 0 }, "onlyVerified": { "title": "Only verified channels", "type": "boolean", "description": "Keep only verified YouTube channels.", "default": false }, "onlyWithWebsite": { "title": "Only channels with a linked website", "type": "boolean", "description": "Drop channels with no external link on their About page (you can't enrich an email without one).", "default": false }, "onlyWithEmail": { "title": "Only channels with an email", "type": "boolean", "description": "Drop channels where no email could be found. Best for cold-email campaigns.", "default": false }, "enrichEmails": { "title": "Find emails on the linked website", "type": "boolean", "description": "Visit each channel's linked website (home + /contact + /about) to extract emails and social links. Higher email fill-rate. No key needed.", "default": true }, "writeOpeners": { "title": "Write an AI cold-opener per lead", "type": "boolean", "description": "Generate a personalized one-sentence outreach opener for each lead. Requires your OpenAI/Anthropic key below.", "default": false }, "llmProvider": { "title": "AI provider (for openers)", "enum": [ "openai", "anthropic" ], "type": "string", "description": "Which model writes the openers.", "default": "openai" }, "llmApiKey": { "title": "AI API key (for openers)", "type": "string", "description": "Your own OpenAI or Anthropic API key. Used only to write the openers; never stored." }, "llmModel": { "title": "AI model (optional)", "type": "string", "description": "Override the default model (gpt-4o-mini for OpenAI, claude-haiku-4-5-20251001 for Anthropic)." } } }, "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 } } } } } } } } } } ```