# GitHub Issue Freshness Monitor (`qdgemi/my-actor`) Actor Find recent open issues across public GitHub repositories using the official GitHub REST API. Useful for maintainers, developer advocates, and small teams tracking issue freshness. - **URL**: https://apify.com/qdgemi/my-actor.md - **Developed by:** [QD gemi](https://apify.com/qdgemi) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## GitHub Issue Freshness Monitor Find recent open issues across public GitHub repositories using the official GitHub REST API. ### What It Does - Accepts public repositories in `owner/name` format. - Filters by recent creation date. - Optionally filters by labels and keywords. - Returns structured issue records with title, URL, labels, timestamps, comment count, author, and a short body snippet. - Excludes pull requests by default. ### Inputs - `repositories`: public GitHub repositories. - `keywords`: optional title/body terms. - `labels`: optional GitHub labels. - `createdSinceDays`: only issues created within this many days. - `maxItems`: maximum records to output. - `includePullRequests`: include PRs if true. ### Output Each dataset item contains: - `repository` - `number` - `title` - `url` - `state` - `createdAt` - `updatedAt` - `labels` - `comments` - `author` - `isPullRequest` - `bodySnippet` ### Compliance Notes This Actor uses the official public GitHub REST API. It does not scrape logged-in GitHub pages, bypass access controls, or access private repositories. For higher rate limits, users can set `GITHUB_TOKEN` as an environment variable in their own Apify account. ### Limitations - Unauthenticated GitHub API calls have low rate limits. - Search results depend on GitHub indexing and query behavior. - This Actor does not guarantee bounty availability or income. - Users are responsible for respecting GitHub terms and any third-party task platform rules. # Actor input Schema ## `repositories` (type: `array`): Public GitHub repositories in owner/name format. ## `keywords` (type: `array`): Optional title/body keywords to match. ## `labels` (type: `array`): Optional GitHub labels to match. ## `createdSinceDays` (type: `integer`): Only return issues created within this many days. ## `maxItems` (type: `integer`): Maximum issues to return across all repositories. ## `includePullRequests` (type: `boolean`): GitHub search returns issues and PRs; keep false to filter PRs out. ## Actor input object example ```json { "repositories": [ "apify/crawlee", "openai/openai-node" ], "keywords": [ "bug", "docs", "help wanted" ], "labels": [ "good first issue", "help wanted" ], "createdSinceDays": 14, "maxItems": 50, "includePullRequests": false } ```` # 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 = { "repositories": [ "apify/crawlee", "openai/openai-node" ], "keywords": [ "bug", "docs", "help wanted" ], "labels": [ "good first issue", "help wanted" ] }; // Run the Actor and wait for it to finish const run = await client.actor("qdgemi/my-actor").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 = { "repositories": [ "apify/crawlee", "openai/openai-node", ], "keywords": [ "bug", "docs", "help wanted", ], "labels": [ "good first issue", "help wanted", ], } # Run the Actor and wait for it to finish run = client.actor("qdgemi/my-actor").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 '{ "repositories": [ "apify/crawlee", "openai/openai-node" ], "keywords": [ "bug", "docs", "help wanted" ], "labels": [ "good first issue", "help wanted" ] }' | apify call qdgemi/my-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=qdgemi/my-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Issue Freshness Monitor", "description": "Find recent open issues across public GitHub repositories using the official GitHub REST API. Useful for maintainers, developer advocates, and small teams tracking issue freshness.", "version": "0.0", "x-build-id": "eOkCJzQ6MobSoucYE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/qdgemi~my-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-qdgemi-my-actor", "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/qdgemi~my-actor/runs": { "post": { "operationId": "runs-sync-qdgemi-my-actor", "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/qdgemi~my-actor/run-sync": { "post": { "operationId": "run-sync-qdgemi-my-actor", "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": [ "repositories" ], "properties": { "repositories": { "title": "Repositories", "type": "array", "description": "Public GitHub repositories in owner/name format.", "items": { "type": "string" } }, "keywords": { "title": "Keywords", "type": "array", "description": "Optional title/body keywords to match.", "items": { "type": "string" } }, "labels": { "title": "Labels", "type": "array", "description": "Optional GitHub labels to match.", "items": { "type": "string" } }, "createdSinceDays": { "title": "Created since days", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only return issues created within this many days.", "default": 14 }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum issues to return across all repositories.", "default": 50 }, "includePullRequests": { "title": "Include pull requests", "type": "boolean", "description": "GitHub search returns issues and PRs; keep false to filter PRs out.", "default": false } } }, "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 } } } } } } } } } } ```