# YouTube Channel Growth Analyzer (`seemuapps/youtube-channel-growth-analyzer`) Actor Analyze any YouTube channel's recent uploads and get growth metrics upload cadence, engagement rate, best posting time, momentum, and shorts share. - **URL**: https://apify.com/seemuapps/youtube-channel-growth-analyzer.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Videos, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 channel analyzeds 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 Channel Growth Analyzer Analyze any YouTube channel's recent upload history and get the derived growth metrics that actually tell you how a channel is performing — upload cadence, engagement rate, best posting time, momentum, and shorts mix — in a single row per channel. Stop scrolling through video dumps. This actor turns a channel's uploads into a clean scorecard you can sort, filter, and compare in a spreadsheet. ### What you get One summary record per channel with: - **Channel basics** — title, URL, subscriber count, lifetime views, total video count, channel age in days - **Upload cadence** — uploads per week across the analyzed window, plus lifetime videos per month - **Performance** — average views, median views, average likes, average comments - **Engagement rate** — average (likes + comments) / views across recent uploads - **Best posting time** — the day of week and UTC hour that correlate with the highest median views - **Title insight** — average title length and the correlation between title length and views - **Shorts share** — the fraction of recent uploads that are Shorts (60 seconds or less) - **Momentum** — a score comparing the median views of the most-recent half of uploads vs the older half (above 1 = accelerating, below 1 = declining), with an `accelerating` / `steady` / `declining` label - **Views per subscriber** — average views divided by subscriber count, a quick reach-efficiency signal Export to JSON, CSV, or Google Sheets directly from the Apify console. ### Use cases - **Competitor analysis** — benchmark rival channels on cadence, engagement, and momentum side by side - **Influencer vetting** — verify that a creator's recent videos still perform before a sponsorship - **Sponsorship and media buying** — compare views-per-subscriber and engagement across a shortlist of channels - **Content strategy** — find the best day and hour to publish, and whether longer or shorter titles win - **Trend spotting** — surface channels with accelerating momentum early ### How to use 1. Enter one or more **Channels** — accepts `@handles` (e.g. `@mkbhd`), full channel URLs (`youtube.com/@handle`, `youtube.com/channel/UC...`, `/c/Name`, `/user/Name`), or raw `UC...` channel IDs 2. Set **Max Videos Analyzed** — how many of the most-recent uploads to analyze per channel (default 50, range 5–200). More videos give more accurate metrics 3. Run the actor — results appear in the **Dataset** tab, one row per channel ### Output format Each dataset record: ```json { "channelId": "UCX6OQ3DkcsbYNE6H8uQQuVA", "channelTitle": "MrBeast", "channelUrl": "https://www.youtube.com/@mrbeast", "subscriberCount": 494000000, "totalViews": 126759143417, "totalVideos": 984, "channelAgeDays": 5216, "uploadsPerWeek": 2.96, "avgViews": 177799734, "medianViews": 113701504, "avgLikes": 2209470, "avgComments": 117168, "engagementRate": 0.01988, "bestDayOfWeek": "Wednesday", "bestHourUTC": 16, "avgTitleLength": 31.6, "titleLengthViewsCorr": -0.225, "shortsShare": 0.8, "momentumScore": 1.218, "momentumLabel": "accelerating", "viewsPerSubscriber": 0.3599, "videosPerMonthLifetime": 5.74, "oldestAnalyzedDate": "2026-03-20T16:00:03.000Z", "newestAnalyzedDate": "2026-05-30T16:00:02.000Z", "videosAnalyzed": 30, "status": "success", "error": null } ```` Channels that cannot be resolved are emitted as a single row with `status` set to `error` and a human-readable `error` message, so a bad input never silently disappears. ### Notes - Metrics are computed over the most-recent uploads only (up to **Max Videos Analyzed**), so cadence and performance reflect the channel's current behavior rather than its entire history. - `titleLengthViewsCorr` is `null` when fewer than 3 videos are analyzed; `momentumScore` is `null` when the older half has no measurable views. - Only public channels and videos are included. Private or deleted uploads are skipped. ### Related YouTube actors Part of a complete YouTube toolkit — explore the rest of the suite: - [YouTube Channel Videos Scraper](https://apify.com/seemuapps/youtube-channel-videos-scraper) — List every video on a channel with metadata - [YouTube Video Metadata Scraper](https://apify.com/seemuapps/youtube-video-metadata-scraper) — Bulk video metadata — views, tags, chapters, more - [YouTube Transcript Scraper](https://apify.com/seemuapps/youtube-transcript-scraper) — Full transcripts and timestamped captions - [YouTube Comment Insights](https://apify.com/seemuapps/youtube-comment-insights) — Sentiment, keywords, and topics from comments - [YouTube Similar Channels Finder](https://apify.com/seemuapps/youtube-similar-channels-finder) — Find similar and competitor channels - [YouTube Sponsorship & Brand Deal Tracker](https://apify.com/seemuapps/youtube-sponsorship-tracker) — Extract sponsors, brand deals, and promo codes - [YouTube Creator Contact Finder](https://apify.com/seemuapps/youtube-creator-contact-finder) — Find a creator's email and social links - [YouTube Email Scraper](https://apify.com/seemuapps/youtube-email-scraper) — Bulk-extract contact emails from channels - [YouTube Thumbnail Downloader](https://apify.com/seemuapps/youtube-thumbnail-downloader) — Download video thumbnails in every size - [YouTube Video Downloader](https://apify.com/seemuapps/youtube-video-downloader) — Download videos as MP4 up to 1440p - [YouTube to MP3 Converter](https://apify.com/seemuapps/youtube-to-mp3) — Convert videos to MP3 audio (128–320 kbps) - [YouTube MCP Server](https://apify.com/seemuapps/youtube-mcp) — All YouTube tools for AI agents via MCP # Actor input Schema ## `channels` (type: `array`): YouTube channels to analyze. Accepts @handles (e.g. @mkbhd), full channel URLs (youtube.com/@handle, youtube.com/channel/UC..., /c/Name, /user/Name), or raw UC channel IDs. ## `maxVideosAnalyzed` (type: `integer`): How many of the most-recent uploads to analyze per channel. More videos give more accurate growth metrics but cost more API quota (5–200). ## Actor input object example ```json { "channels": [ "@mkbhd", "@mrbeast" ], "maxVideosAnalyzed": 50 } ``` # Actor output Schema ## `results` (type: `string`): One record per channel: channelId, channelTitle, channelUrl, subscriberCount, totalViews, totalVideos, channelAgeDays, uploadsPerWeek, avgViews, medianViews, avgLikes, avgComments, engagementRate, bestDayOfWeek, bestHourUTC, avgTitleLength, titleLengthViewsCorr, shortsShare, momentumScore, momentumLabel, viewsPerSubscriber, videosPerMonthLifetime, oldestAnalyzedDate, newestAnalyzedDate, videosAnalyzed, status (success|error), error. # 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 = { "channels": [ "@mkbhd", "@mrbeast" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/youtube-channel-growth-analyzer").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 = { "channels": [ "@mkbhd", "@mrbeast", ] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/youtube-channel-growth-analyzer").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 '{ "channels": [ "@mkbhd", "@mrbeast" ] }' | apify call seemuapps/youtube-channel-growth-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/youtube-channel-growth-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel Growth Analyzer", "description": "Analyze any YouTube channel's recent uploads and get growth metrics upload cadence, engagement rate, best posting time, momentum, and shorts share.", "version": "1.0", "x-build-id": "AteohrUrU8qyza9Z7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~youtube-channel-growth-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-youtube-channel-growth-analyzer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~youtube-channel-growth-analyzer/runs": { "post": { "operationId": "runs-sync-seemuapps-youtube-channel-growth-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~youtube-channel-growth-analyzer/run-sync": { "post": { "operationId": "run-sync-seemuapps-youtube-channel-growth-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "channels" ], "properties": { "channels": { "title": "Channels", "type": "array", "description": "YouTube channels to analyze. Accepts @handles (e.g. @mkbhd), full channel URLs (youtube.com/@handle, youtube.com/channel/UC..., /c/Name, /user/Name), or raw UC channel IDs.", "items": { "type": "string" } }, "maxVideosAnalyzed": { "title": "Max Videos Analyzed", "minimum": 5, "maximum": 200, "type": "integer", "description": "How many of the most-recent uploads to analyze per channel. More videos give more accurate growth metrics but cost more API quota (5–200).", "default": 50 } } }, "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 } } } } } } } } } } ```