# Crypto Token Social Metrics Tracker (`gochujang/token-social-metrics`) Actor Aggregates social and developer metrics for any cryptocurrency: Twitter/X followers, GitHub stars and commit activity, Reddit subscribers, Telegram member count, and CoinGecko community stats. Essential for token fundamental analysis. - **URL**: https://apify.com/gochujang/token-social-metrics.md - **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community) - **Categories:** Developer tools, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Crypto Token Social Metrics Tracker > Aggregate **Twitter followers, Reddit subscribers, Telegram members, GitHub stars, and developer activity** for any cryptocurrency using CoinGecko. Essential for token fundamental analysis and community health scoring. **No API key required. $0.005 per token.** ### ⚡ Run in 30 seconds Click **Start** with default settings — fetches social and developer metrics for the sample token from CoinGecko and returns Twitter follower count, Reddit subscribers, Telegram members, GitHub stars, and recent developer commit activity. No API key needed. --- ### What It Does For each token you specify, fetches comprehensive social and developer metrics: - **Twitter/X**: Follower count - **Reddit**: Subscribers, posts/comments per 48h - **Telegram**: Member count - **GitHub**: Stars, forks, watchers, recent commits (30d), repo URL - **CoinGecko scores**: Community score, developer score ### Use Cases - **Token due diligence**: Validate community size before investing - **Comparative analysis**: Rank tokens by social momentum - **Developer activity**: Find projects with active GitHub contributions - **Undervalued gems**: Low market cap + high dev activity = potential alpha - **Portfolio monitoring**: Track community growth over time ### Example Output ```json { "coin_id": "ethereum", "symbol": "ETH", "name": "Ethereum", "market_cap_usd": 286000000000, "twitter_followers": 3200000, "reddit_subscribers": 1200000, "telegram_members": null, "github_stars": 46000, "github_forks": 19000, "github_commits_30d": 150, "community_score": 84.5, "dev_activity_score": 95.2, "github_repo_url": "https://github.com/ethereum/go-ethereum" } ```` ### Input Options | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `tokens` | string\[] | \[bitcoin, ethereum, solana] | CoinGecko coin IDs (find at coingecko.com) | | `includeGithub` | boolean | true | Fetch live GitHub repo stats | | `githubToken` | string | - | GitHub token for higher rate limits (60→5000 req/h) | | `sortBy` | string | community\_score | Sort by: twitter\_followers, github\_stars, reddit\_subscribers, community\_score, dev\_activity\_score | ### Pricing - **$0.005 per token analyzed** ### Finding CoinGecko IDs Visit [coingecko.com](https://www.coingecko.com), search for a token, and use the ID from the URL. Example: `https://www.coingecko.com/en/coins/bitcoin` → ID is `bitcoin` # Actor input Schema ## `tokens` (type: `array`): CoinGecko coin IDs to look up (e.g. 'bitcoin', 'ethereum', 'solana'). Find IDs at coingecko.com. ## `includeGithub` (type: `boolean`): Fetch GitHub repo stars, forks, and recent commit activity. ## `githubToken` (type: `string`): GitHub personal access token for higher rate limits (60→5000 req/h). ## `sortBy` (type: `string`): Field to sort results by. ## Actor input object example ```json { "tokens": [ "bitcoin", "ethereum", "solana" ], "includeGithub": true, "sortBy": "community_score" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "tokens": [ "bitcoin", "ethereum", "solana" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gochujang/token-social-metrics").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "tokens": [ "bitcoin", "ethereum", "solana", ] } # Run the Actor and wait for it to finish run = client.actor("gochujang/token-social-metrics").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 '{ "tokens": [ "bitcoin", "ethereum", "solana" ] }' | apify call gochujang/token-social-metrics --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gochujang/token-social-metrics", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crypto Token Social Metrics Tracker", "description": "Aggregates social and developer metrics for any cryptocurrency: Twitter/X followers, GitHub stars and commit activity, Reddit subscribers, Telegram member count, and CoinGecko community stats. Essential for token fundamental analysis.", "version": "0.1", "x-build-id": "LXw5whGoUL5jbAwVq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gochujang~token-social-metrics/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gochujang-token-social-metrics", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gochujang~token-social-metrics/runs": { "post": { "operationId": "runs-sync-gochujang-token-social-metrics", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gochujang~token-social-metrics/run-sync": { "post": { "operationId": "run-sync-gochujang-token-social-metrics", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tokens": { "title": "Token IDs (CoinGecko)", "type": "array", "description": "CoinGecko coin IDs to look up (e.g. 'bitcoin', 'ethereum', 'solana'). Find IDs at coingecko.com.", "default": [ "bitcoin", "ethereum", "solana" ], "items": { "type": "string" } }, "includeGithub": { "title": "Include GitHub Metrics", "type": "boolean", "description": "Fetch GitHub repo stars, forks, and recent commit activity.", "default": true }, "githubToken": { "title": "GitHub Token (optional)", "type": "string", "description": "GitHub personal access token for higher rate limits (60→5000 req/h)." }, "sortBy": { "title": "Sort By", "enum": [ "twitter_followers", "github_stars", "reddit_subscribers", "community_score", "dev_activity_score" ], "type": "string", "description": "Field to sort results by.", "default": "community_score" } } }, "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 } } } } } } } } } } ```