# YouTube Influencer Scraper (`logiover/youtube-influencer-discovery-scraper`) Actor Discover YouTube creators by niche and get their subscriber count, average views, engagement rate, business email and social links. Search by keyword or pass channels directly. No login, no API key. Built for influencer marketing & outreach. JSON/CSV/Excel. - **URL**: https://apify.com/logiover/youtube-influencer-discovery-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** Social media, Marketing, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Influencer Scraper ๐Ÿค โ€” Find Creators, Engagement Rate & Emails (No Login, No API Key) **Find YouTube influencers by niche** and get the data outreach teams actually need: **subscriber count, average views, engagement rate, business email and social links** โ€” for every creator. This **YouTube influencer discovery tool** lets you search by **keyword/niche** or enrich a list of channels directly, then exports to **JSON, CSV or Excel**. No login, no cookies, no Google API key. One run surfaces dozens of contactable creators per niche, each scored by engagement. > โœ… No login ยท No API key ยท Engagement rate computed ยท Business emails & socials ยท Subscriber-range targeting --- ### Why use this YouTube influencer scraper? - **Discover creators by niche.** Give it keywords ("home workout", "tech reviews") and it finds matching channels. - **Engagement rate, computed for you.** Samples each channel's recent videos and calculates **average views** and **engagement rate** (`avg views รท subscribers`) โ€” the metric that separates real reach from vanity subscriber counts. - **Contact enrichment.** Extracts **business email** and **social links** (Instagram, TikTok, X, Discord, Linktree, etc.) from the channel. - **Micro-influencer targeting.** Filter by `minSubscribers` / `maxSubscribers` to find exactly the tier you can afford. - **Email-only mode.** `requireEmail: true` keeps only contactable creators โ€” a ready outreach list. --- ### How to find YouTube influencers (step by step) No code required. Here's how to **build a YouTube influencer list**: 1. **Open the actor** on Apify and click **Try for free**. 2. **Enter niches** in `searchQueries` (e.g. `["personal finance", "home barista"]`) and/or paste specific channels in `channels`. 3. *(Optional)* Set `minSubscribers` / `maxSubscribers` to target a tier, and `requireEmail: true` for contactable creators only. 4. Click **Start**. 5. **Export** your scored, contact-enriched list to CSV/Excel/JSON, or push it to your CRM via the Apify API. --- ### What data can you extract per creator? | Data point | Field | Example | |------------|-------|---------| | Channel name | `channelTitle` | `"Nischa"` | | Handle | `handle` | `"@nischa"` | | Subscribers | `subscriberCount` | `2180000` | | Average recent views | `avgRecentViews` | `257500` | | Engagement rate | `engagementRatePct` | `11.81` | | Business email | `email` | `"business@channel.com"` | | Social links | `socialLinks` | `["https://instagram.com/โ€ฆ"]` | | Latest upload | `latestVideoPublished` | `"3 days ago"` | | Keywords/tags | `keywords` | `["finance","investing"]` | | Channel URL | `channelUrl` | `https://youtube.com/@nischa` | --- ### Use cases - **Influencer outreach lists** โ€” build a contactable shortlist of creators in a niche, scored by engagement, ready for your CRM. - **Micro-influencer campaigns** โ€” `maxSubscribers: 100000` + `minSubscribers: 5000` to find affordable, high-engagement creators. - **Sponsorship vetting** โ€” compare engagement rate, not just subscriber count, before paying for a placement. - **Agency prospecting** โ€” find creators to represent or pitch services to. - **Competitive creator mapping** โ€” see who's active in your category and how they perform. --- ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchQueries` | `string[]` | โ€” | Niche keywords to discover creators in. | | `channels` | `string[]` | `[]` | Optional: enrich specific channels (`@handle`/URL/ID). | | `maxChannelsPerQuery` | `integer` | `30` | Channels to discover per keyword. | | `recentVideosForStats` | `integer` | `12` | Recent videos sampled for engagement rate. | | `minSubscribers` | `integer` | `0` | Minimum subscribers. | | `maxSubscribers` | `integer` | `0` | Maximum subscribers (`0` = no max). | | `requireEmail` | `boolean` | `false` | Keep only channels with a contact email. | | `maxResults` | `integer` | `0` | Global cap. | #### Example input ```json { "searchQueries": ["home workout", "healthy recipes"], "minSubscribers": 5000, "maxSubscribers": 100000, "requireEmail": true, "maxChannelsPerQuery": 50 } ```` #### Example output ```json { "channelTitle": "Home Barista Corner", "handle": "@homebaristacorner", "subscriberCount": 6650, "avgRecentViews": 3949, "engagementRatePct": 59.38, "email": "homebaristacorner@gmail.com", "socialLinks": ["https://instagram.com/homebaristacorner"], "channelUrl": "https://www.youtube.com/@homebaristacorner" } ``` *** ### How it works This **YouTube creator finder** discovers channels through YouTube's channel search, then for each one reads its internal channel data: subscriber count, description, handle, keywords and recent videos. It computes **average / median views** over the recent sample and the **engagement rate** against subscribers, and parses **email and social links** out of the channel description. A fresh access key is fetched per run, with retries. *** ### Frequently asked questions **Do I need a YouTube API key to find influencers?** No โ€” no key, no login, no quota. **How is engagement rate calculated?** Average views across the most recent `recentVideosForStats` videos, divided by subscriber count, as a percentage โ€” a widely used reach proxy. **Can I find micro-influencers?** Yes โ€” set `maxSubscribers` (and optionally `minSubscribers`) to target a tier. **Why do some channels have no email?** Emails are read from the public channel description. Creators who only expose their email behind YouTube's captcha-gated "View email address" button can't be read โ€” that's expected. Use `requireEmail: true` to keep only contactable creators. **Can I just enrich a list of channels I already have?** Yes โ€” paste them into `channels` (handles, URLs, or IDs). **Is scraping YouTube creator data legal?** The actor collects only **public** channel data. Use it in line with YouTube's Terms and applicable privacy/marketing laws (e.g. CAN-SPAM, GDPR) for outreach. *** ### Limits & notes - Subscriber counts are abbreviated by YouTube (`2.18M`) and parsed to an integer estimate. - Engagement rate is `avgViews รท subscribers` over the recent sample โ€” a proxy, not an official YouTube metric. - Emails/socials come from the channel description; some creators don't publish them there. *** ### The complete YouTube scraping toolkit - **[YouTube Channel Scraper](https://apify.com/logiover/youtube-channel-scraper)** โ€” full video catalog & stats - **[YouTube Search Scraper](https://apify.com/logiover/youtube-search-scraper)** โ€” find videos & channels by keyword - **[YouTube Comments Scraper](https://apify.com/logiover/youtube-comments-scraper)** โ€” audience comments for engagement analysis - **[YouTube Video Details Scraper](https://apify.com/logiover/youtube-video-details-scraper)** โ€” exact views, likes & tags *** ### ๐Ÿ’ฐ Pricing Pay-per-result โ€” you only pay for the creators you actually get. No proxy or YouTube API costs. ### ๐Ÿ†˜ Support Want total channel views, country, exact join date, or emails parsed from video descriptions too? Open an issue on the actor's page. # Actor input Schema ## `searchQueries` (type: `array`): Keywords/niches to discover creators in. Each runs a YouTube channel search. Examples: \['personal finance', 'home workout', 'tech reviews']. ## `channels` (type: `array`): Optional: enrich specific channels directly. @handles, channel URLs, or UCโ€ฆ IDs. Combined with any discovery results. ## `maxChannelsPerQuery` (type: `integer`): How many channels to discover per search keyword. ## `recentVideosForStats` (type: `integer`): How many recent videos to average for avg views & engagement rate. ## `minSubscribers` (type: `integer`): Only keep channels with at least this many subscribers. 0 = no minimum. ## `maxSubscribers` (type: `integer`): Only keep channels up to this many subscribers (great for finding micro-influencers). 0 = no maximum. ## `requireEmail` (type: `boolean`): Keep only channels that expose a contact email in their description. ## `maxResults` (type: `integer`): Global cap on channels saved. 0 = unlimited. ## Actor input object example ```json { "searchQueries": [ "personal finance" ], "channels": [], "maxChannelsPerQuery": 30, "recentVideosForStats": 12, "minSubscribers": 0, "maxSubscribers": 0, "requireEmail": false, "maxResults": 0 } ``` # Actor output Schema ## `channelTitle` (type: `string`): Channel name ## `subscriberCount` (type: `string`): Subscribers ## `avgRecentViews` (type: `string`): Avg recent views ## `engagementRatePct` (type: `string`): Avg views / subs ## `email` (type: `string`): Contact email ## `handle` (type: `string`): Channel handle ## `channelUrl` (type: `string`): Channel URL ## `scrapedAt` (type: `string`): Timestamp # 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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/youtube-influencer-discovery-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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"] } # Run the Actor and wait for it to finish run = client.actor("logiover/youtube-influencer-discovery-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "personal finance" ] }' | apify call logiover/youtube-influencer-discovery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/youtube-influencer-discovery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Influencer Scraper", "description": "Discover YouTube creators by niche and get their subscriber count, average views, engagement rate, business email and social links. Search by keyword or pass channels directly. No login, no API key. Built for influencer marketing & outreach. JSON/CSV/Excel.", "version": "1.0", "x-build-id": "PnWpDGJlm3UeLtazj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~youtube-influencer-discovery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-youtube-influencer-discovery-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/logiover~youtube-influencer-discovery-scraper/runs": { "post": { "operationId": "runs-sync-logiover-youtube-influencer-discovery-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/logiover~youtube-influencer-discovery-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-youtube-influencer-discovery-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": { "searchQueries": { "title": "Niche keywords (discovery)", "type": "array", "description": "Keywords/niches to discover creators in. Each runs a YouTube channel search. Examples: ['personal finance', 'home workout', 'tech reviews'].", "default": [], "items": { "type": "string" } }, "channels": { "title": "Channels (direct enrich)", "type": "array", "description": "Optional: enrich specific channels directly. @handles, channel URLs, or UCโ€ฆ IDs. Combined with any discovery results.", "default": [], "items": { "type": "string" } }, "maxChannelsPerQuery": { "title": "Max channels per query", "minimum": 1, "type": "integer", "description": "How many channels to discover per search keyword.", "default": 30 }, "recentVideosForStats": { "title": "Recent videos sampled for stats", "minimum": 1, "type": "integer", "description": "How many recent videos to average for avg views & engagement rate.", "default": 12 }, "minSubscribers": { "title": "Min subscribers", "minimum": 0, "type": "integer", "description": "Only keep channels with at least this many subscribers. 0 = no minimum.", "default": 0 }, "maxSubscribers": { "title": "Max subscribers", "minimum": 0, "type": "integer", "description": "Only keep channels up to this many subscribers (great for finding micro-influencers). 0 = no maximum.", "default": 0 }, "requireEmail": { "title": "Only channels with an email", "type": "boolean", "description": "Keep only channels that expose a contact email in their description.", "default": false }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Global cap on channels saved. 0 = unlimited.", "default": 0 } } }, "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 } } } } } } } } } } ```