# Creator Analytics Scraper (`salahboussettah/creator-analytics-scraper`) Actor Analyze creators on YouTube, X, and Instagram. Get followers, post counts, recent content with views/likes, bios, and links. Input any handle or URL. - **URL**: https://apify.com/salahboussettah/creator-analytics-scraper.md - **Developed by:** [Salah Eddine Boussettah](https://apify.com/salahboussettah) (community) - **Categories:** Social media - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 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 ## Creator Analytics Scraper - YouTube, X & Instagram Profiles Analyze content creators across multiple platforms in one run. Get subscriber/follower counts, engagement metrics, recent posts with views and likes, and cross-platform presence data. ### What data do you get? | Field | Description | |-------|-------------| | Creator Handle | Username on the platform | | Platform | youtube, x, or instagram | | Display Name | Full display name | | Subscribers/Followers | Follower count (parsed as number) | | Total Posts | Number of videos/posts | | Description | Bio or channel description | | Profile URL | Direct link to the profile | | Verified | Whether the account is verified | | External Links | Links in bio (linktree, website, etc.) | | Recent Posts | Latest posts with engagement (views, likes, retweets) | ### How to use 1. Enter **creator handles** or profile URLs (e.g., "@MrBeast", "https://x.com/elonmusk") 2. Select which **platforms** to check (YouTube, X, Instagram) 3. Choose whether to **include recent posts** with engagement data 4. Click **Start** ### Input example ```json { "creators": ["@MrBeast", "@mkbhd"], "platforms": ["youtube", "x"], "includeRecentPosts": true, "maxPostsPerPlatform": 5 } ```` ### Output example ```json { "creator_handle": "@MrBeast", "platform": "youtube", "display_name": "MrBeast", "subscribers": 470000000, "subscribers_raw": "470M subscribers", "total_posts": 954, "description": "SUBSCRIBE FOR A COOKIE!", "profile_url": "https://www.youtube.com/@MrBeast", "verified": true, "external_links": ["linktr.ee/beastgames"], "recent_posts": [ { "title": "I Built 10 Schools Around The World", "views": 47000000, "posted": "13 days ago", "url": "https://www.youtube.com/watch?v=..." } ] } ``` ### Use cases - **Influencer marketing**: Find and vet creators before brand partnerships - **Agency reporting**: Track creator metrics across platforms for clients - **Competitive analysis**: Compare creators in the same niche - **Market research**: Analyze creator economy trends by category - **Brand safety**: Check creator content and engagement before sponsorships ### Platform notes - **YouTube**: Best data - subscribers, videos, views per video, all public - **X (Twitter)**: Followers, following, recent tweets with likes/retweets - **Instagram**: Followers and post counts (may be limited by login walls) ### Limitations - Instagram often requires login for full profile data; basic stats from meta tags are still extracted - X may show a login wall for some profiles; data extraction depends on public visibility - YouTube provides the most complete data as channels are fully public - Rate limits apply - avoid scraping hundreds of profiles in rapid succession # Actor input Schema ## `creators` (type: `array`): List of creator usernames or profile URLs to analyze. You can mix platforms: '@MrBeast', 'https://youtube.com/@MrBeast', 'https://x.com/elonmusk' ## `platforms` (type: `array`): Which platforms to scrape for each creator ## `includeRecentPosts` (type: `boolean`): Scrape the creator's most recent posts/videos with engagement data ## `maxPostsPerPlatform` (type: `integer`): Maximum number of recent posts to scrape per platform per creator ## Actor input object example ```json { "creators": [ "@MrBeast" ], "platforms": [ "youtube", "x" ], "includeRecentPosts": true, "maxPostsPerPlatform": 10 } ``` # Actor output Schema ## `creators` (type: `string`): Creator profiles with analytics data across YouTube, X, and Instagram # 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 = { "creators": [ "@MrBeast" ], "platforms": [ "youtube", "x" ] }; // Run the Actor and wait for it to finish const run = await client.actor("salahboussettah/creator-analytics-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 = { "creators": ["@MrBeast"], "platforms": [ "youtube", "x", ], } # Run the Actor and wait for it to finish run = client.actor("salahboussettah/creator-analytics-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 '{ "creators": [ "@MrBeast" ], "platforms": [ "youtube", "x" ] }' | apify call salahboussettah/creator-analytics-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=salahboussettah/creator-analytics-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Creator Analytics Scraper", "description": "Analyze creators on YouTube, X, and Instagram. Get followers, post counts, recent content with views/likes, bios, and links. Input any handle or URL.", "version": "0.1", "x-build-id": "w84r9AmFLBEbmJc6Q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/salahboussettah~creator-analytics-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-salahboussettah-creator-analytics-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/salahboussettah~creator-analytics-scraper/runs": { "post": { "operationId": "runs-sync-salahboussettah-creator-analytics-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/salahboussettah~creator-analytics-scraper/run-sync": { "post": { "operationId": "run-sync-salahboussettah-creator-analytics-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "creators" ], "properties": { "creators": { "title": "Creator Handles", "type": "array", "description": "List of creator usernames or profile URLs to analyze. You can mix platforms: '@MrBeast', 'https://youtube.com/@MrBeast', 'https://x.com/elonmusk'", "items": { "type": "string" } }, "platforms": { "title": "Platforms to Check", "type": "array", "description": "Which platforms to scrape for each creator", "items": { "type": "string", "enum": [ "youtube", "x", "instagram" ] }, "default": [ "youtube", "x" ] }, "includeRecentPosts": { "title": "Include Recent Posts/Videos", "type": "boolean", "description": "Scrape the creator's most recent posts/videos with engagement data", "default": true }, "maxPostsPerPlatform": { "title": "Max Posts Per Platform", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of recent posts to scrape per platform per creator", "default": 10 } } }, "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 } } } } } } } } } } ```