# YouTube Email Scraper - Creator Contact Finder (`ritaya/youtube-creator-finder`) Actor Find YouTube creators by niche and extract channel contact emails, subscribers, country & social links. No login - pay only per result. - **URL**: https://apify.com/ritaya/youtube-creator-finder.md - **Developed by:** [Zane](https://apify.com/ritaya) (community) - **Categories:** Lead generation, Social media, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 - Creator & Channel Contact Finder **YouTube email scraper** and **creator contact finder**: discover YouTube channels by niche, enrich each with **no-login** data (subscribers, country, total views, social links), and recover a **contact email** from the creator's linked website / Linktree. Built for **lead generation**, influencer-marketing outreach, sponsorship prospecting and B2B-to-creator sales. Keywords: youtube email scraper, youtube channel email extractor, creator contact finder, influencer email finder, youtube lead generation, bulk youtube channel scraper. This is the **Path A** (no-account) build. See *Roadmap* for the premium Path B. ### Why this works without a logged-in account The channel `/about` page is server-rendered with an embedded `ytInitialData` JSON blob. It already contains the header stats and the creator's external links (`channelExternalLinkViewModel`). Only YouTube's *native* business-email reveal is gated behind `signInForBusinessEmail` (a Google account + CAPTCHA) — that is **Path B**, out of scope here. Path A recovers emails by following the linked sites instead. Validated live from a US residential IP: discovery, enrichment and link extraction are 100% reliable; linked-site email recovery lands a real creator email for ~20–35% of channels (the rest expose only social links or a contact form). ### Input | field | meaning | |---|---| | `searchQueries` | niches/keywords to discover creators by | | `channelUrls` | known `@handle` / `/channel/ID` list to enrich directly | | `maxChannelsPerQuery` | cap per keyword (default 10) | | `minSubscribers` | drop channels below this size (lead quality filter) | | `country` | keep only channels whose About-page country matches | | `scrapeEmails` | follow linked sites to recover an email (default true) | | `concurrency` | parallel channels (default 5) | | `proxyConfiguration` | residential proxy; match group country to `country` | ### Output (one item per channel) ```json { "channelName": "Nischa", "handle": "@nischa", "channelUrl": "https://www.youtube.com/@nischa", "channelId": "UC...", "subscribers": 2210000, "subscribersText": "2.21M subscribers", "totalViews": "136,276,016 views", "videosText": "300 videos", "country": "United Kingdom", "emails": ["team@nischa.me"], "links": ["https://nischa.me/links", "..."], "description": "...", "sourceQuery": "personal finance youtuber" } ```` ### Pricing (PAY\_PER\_EVENT) Register these in the Apify console at publish time (names must match `Actor.charge`): | event | suggested price | when | |---|---|---| | `channel-enriched` | $0.01 | every channel returned | | `email-found` | $0.04 | only when an email is recovered | Mid-market vs the niche: cheap bulk scrapers charge ~$0.03/result, the premium account-based reveal (dataovercoffee) charges $0.12. Path A sits in between on value: always-on enrichment + best-effort email. ### Run locally ```bash mkdir -p storage/key_value_stores/default cp .actor/input.example.json storage/key_value_stores/default/INPUT.json # or write your own APIFY_LOCAL_STORAGE_DIR="$PWD/storage" \ uv run --with apify --with "httpx[http2]" python -m src.main ``` Locally pass `"proxyConfiguration": {"useApifyProxy": false}` to go direct (e.g. from a residential machine). On the platform, keep the `RESIDENTIAL` default. ### Deploy ```bash npm i -g apify-cli apify login apify push ``` ### Roadmap — Path B (premium tier) Add a `revealNativeEmail` flag that performs YouTube's native business-email reveal: requires a pool of logged-in Google accounts + a CAPTCHA solver (2captcha/CapSolver) + residential IP. This is the 60–80%-hit-rate tier that commands ~$0.10–0.12/email. The event (`native-email-revealed`) and account-pool plumbing are not in this build. Then reuse the discover→enrich→email engine for Instagram and TikTok creators to build a multi-platform creator-contact actor family. # Actor input Schema ## `searchQueries` (type: `array`): Discover creators by niche, e.g. "personal finance", "home barista". One search per item. ## `channelUrls` (type: `array`): Enrich a known list directly. Accepts https://youtube.com/@handle or /channel/ID. ## `maxChannelsPerQuery` (type: `integer`): How many channels to take from each search keyword (1-50). ## `minSubscribers` (type: `integer`): Drop channels below this size (0 = no filter). Quality filter for lead lists. ## `country` (type: `string`): Keep only channels whose About-page country matches, e.g. "United States". Pair with a same-country residential proxy. ## `scrapeEmails` (type: `boolean`): Follow each creator's linked website / Linktree and recover a contact email (best-effort, no login). ## `concurrency` (type: `integer`): Number of channels processed in parallel (1-20). ## `proxyConfiguration` (type: `object`): Residential proxy strongly recommended; match the group country to the Country filter. ## Actor input object example ```json { "searchQueries": [ "home barista coffee", "indie game developer" ], "maxChannelsPerQuery": 10, "minSubscribers": 0, "scrapeEmails": true, "concurrency": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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 = { "searchQueries": [ "personal finance youtuber" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ritaya/youtube-creator-finder").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 = { "searchQueries": ["personal finance youtuber"] } # Run the Actor and wait for it to finish run = client.actor("ritaya/youtube-creator-finder").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 '{ "searchQueries": [ "personal finance youtuber" ] }' | apify call ritaya/youtube-creator-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ritaya/youtube-creator-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Email Scraper - Creator Contact Finder", "description": "Find YouTube creators by niche and extract channel contact emails, subscribers, country & social links. No login - pay only per result.", "version": "0.1", "x-build-id": "FC9goZnCCLIdPyXf0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ritaya~youtube-creator-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ritaya-youtube-creator-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ritaya~youtube-creator-finder/runs": { "post": { "operationId": "runs-sync-ritaya-youtube-creator-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ritaya~youtube-creator-finder/run-sync": { "post": { "operationId": "run-sync-ritaya-youtube-creator-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search keywords / niches", "type": "array", "description": "Discover creators by niche, e.g. \"personal finance\", \"home barista\". One search per item.", "items": { "type": "string" } }, "channelUrls": { "title": "Channel URLs / @handles (optional)", "type": "array", "description": "Enrich a known list directly. Accepts https://youtube.com/@handle or /channel/ID.", "items": { "type": "string" } }, "maxChannelsPerQuery": { "title": "Max channels per keyword", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many channels to take from each search keyword (1-50).", "default": 10 }, "minSubscribers": { "title": "Minimum subscribers", "type": "integer", "description": "Drop channels below this size (0 = no filter). Quality filter for lead lists.", "default": 0 }, "country": { "title": "Country filter (optional)", "type": "string", "description": "Keep only channels whose About-page country matches, e.g. \"United States\". Pair with a same-country residential proxy." }, "scrapeEmails": { "title": "Extract emails from linked sites", "type": "boolean", "description": "Follow each creator's linked website / Linktree and recover a contact email (best-effort, no login).", "default": true }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Number of channels processed in parallel (1-20).", "default": 5 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Residential proxy strongly recommended; match the group country to the Country filter.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```