# GitHub Trending Monitor (`second_coming/github-trending-monitor`) Actor Track GitHub trending repositories and developer activity. Find trending repos by language and time range, get repo details, top contributors, language statistics, and topic/tag trending. - **URL**: https://apify.com/second\_coming/github-trending-monitor.md - **Developed by:** [Richard P](https://apify.com/second_coming) (community) - **Categories:** Developer tools, AI - **Stats:** 1 total users, 0 monthly users, 0.0% 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 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 # Actor input Schema ## `languages` (type: `array`): Filter trending repos by programming language(s). Leave empty to search all languages. ## `timeRange` (type: `string`): Time range for calculating trending status. 'daily' = repos created in last day, 'weekly' = last week, 'monthly' = last month. ## `maxResults` (type: `integer`): Maximum number of trending repositories to return per language ## `minStars` (type: `integer`): Only return repositories with at least this many stars ## `includeContributors` (type: `boolean`): Fetch and include top contributors for each repository (uses extra API calls) ## `includeLanguages` (type: `boolean`): Include programming language breakdown for each repository ## `includeTopics` (type: `boolean`): Include topics and tags for each repository ## `githubToken` (type: `string`): Optional GitHub token for higher rate limits (5000 req/hr vs 60). Generate at https://github.com/settings/tokens (no scopes needed for public API). ## Actor input object example ```json { "languages": [ "python", "javascript", "typescript" ], "timeRange": "weekly", "maxResults": 25, "minStars": 10, "includeContributors": false, "includeLanguages": true, "includeTopics": true } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "languages": [ "python", "javascript", "typescript" ], "timeRange": "weekly", "maxResults": 25, "minStars": 10, "includeContributors": false, "includeLanguages": true, "includeTopics": true, "githubToken": "" }; // Run the Actor and wait for it to finish const run = await client.actor("second_coming/github-trending-monitor").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 = { "languages": [ "python", "javascript", "typescript", ], "timeRange": "weekly", "maxResults": 25, "minStars": 10, "includeContributors": False, "includeLanguages": True, "includeTopics": True, "githubToken": "", } # Run the Actor and wait for it to finish run = client.actor("second_coming/github-trending-monitor").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 '{ "languages": [ "python", "javascript", "typescript" ], "timeRange": "weekly", "maxResults": 25, "minStars": 10, "includeContributors": false, "includeLanguages": true, "includeTopics": true, "githubToken": "" }' | apify call second_coming/github-trending-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=second_coming/github-trending-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Trending Monitor", "description": "Track GitHub trending repositories and developer activity. Find trending repos by language and time range, get repo details, top contributors, language statistics, and topic/tag trending.", "version": "0.0", "x-build-id": "zWqhxfNQ0H1P1Sh6j" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/second_coming~github-trending-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-second_coming-github-trending-monitor", "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/second_coming~github-trending-monitor/runs": { "post": { "operationId": "runs-sync-second_coming-github-trending-monitor", "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/second_coming~github-trending-monitor/run-sync": { "post": { "operationId": "run-sync-second_coming-github-trending-monitor", "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": { "languages": { "title": "Programming Languages", "type": "array", "description": "Filter trending repos by programming language(s). Leave empty to search all languages.", "items": { "type": "string" } }, "timeRange": { "title": "Time Range", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Time range for calculating trending status. 'daily' = repos created in last day, 'weekly' = last week, 'monthly' = last month.", "default": "weekly" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of trending repositories to return per language", "default": 25 }, "minStars": { "title": "Minimum Stars", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Only return repositories with at least this many stars", "default": 10 }, "includeContributors": { "title": "Include Top Contributors", "type": "boolean", "description": "Fetch and include top contributors for each repository (uses extra API calls)", "default": false }, "includeLanguages": { "title": "Include Language Statistics", "type": "boolean", "description": "Include programming language breakdown for each repository", "default": true }, "includeTopics": { "title": "Include Topics/Tags", "type": "boolean", "description": "Include topics and tags for each repository", "default": true }, "githubToken": { "title": "GitHub Personal Access Token", "type": "string", "description": "Optional GitHub token for higher rate limits (5000 req/hr vs 60). Generate at https://github.com/settings/tokens (no scopes needed for public API)." } } }, "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 } } } } } } } } } } ```