# GitHub Stars Scraper (`lulzasaur/github-stars-scraper`) Actor Scrape GitHub repository data. Search by keyword or language, fetch specific repos. Extract star counts, forks, topics, licenses, and full repo metadata. - **URL**: https://apify.com/lulzasaur/github-stars-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $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 ## GitHub Stars Scraper Scrape GitHub repository data via the public GitHub API. Search repositories by keyword or programming language, or fetch specific repos by owner/name. Extract star counts, fork counts, topics, licenses, languages, and full repository metadata. ### Modes | Mode | Description | |------|-------------| | `search` | Search repos by keyword, optionally filtered by language | | `repos` | Fetch details for specific repos by owner/name | ### Output Fields | Field | Description | |-------|-------------| | `name` | Repository name | | `fullName` | Full name (owner/repo) | | `description` | Repository description | | `stars` | Star count | | `forks` | Fork count | | `watchers` | Watcher count | | `openIssues` | Open issue count | | `language` | Primary programming language | | `topics` | Array of topic tags | | `license` | SPDX license identifier (e.g. "MIT", "Apache-2.0") | | `createdAt` | ISO timestamp when repo was created | | `updatedAt` | ISO timestamp of last update | | `homepage` | Homepage URL | | `defaultBranch` | Default branch name | | `size` | Repository size in KB | | `isArchived` | Whether repo is archived | | `isFork` | Whether repo is a fork | | `sourceUrl` | Direct URL to the GitHub page | | `scrapedAt` | ISO timestamp of scrape | ### Input Options - **Mode**: `search` or `repos` - **Search Queries**: Keywords (e.g. "machine learning", "web scraping") - **Repository Names**: Specific repos in owner/name format (e.g. "facebook/react", "torvalds/linux") - **Sort By**: `stars`, `forks`, or `updated` - **Language Filter**: Filter by language (e.g. "python", "javascript", "rust") - **Max Results**: Up to 500 per query (GitHub caps at 1000) - **Proxy**: Optional proxy configuration ### Example Output ```json { "name": "react", "fullName": "facebook/react", "description": "The library for web and native user interfaces.", "stars": 231000, "forks": 47200, "watchers": 231000, "openIssues": 950, "language": "JavaScript", "topics": ["javascript", "frontend", "react", "ui", "declarative"], "license": "MIT", "createdAt": "2013-05-24T16:15:54.000Z", "updatedAt": "2026-04-26T10:00:00.000Z", "homepage": "https://react.dev", "defaultBranch": "main", "size": 412000, "isArchived": false, "isFork": false, "sourceUrl": "https://github.com/facebook/react", "scrapedAt": "2026-04-26T12:00:00.000Z" } ```` ### Use Cases - **Trend Analysis**: Track which repos and topics are gaining stars - **Technology Research**: Compare libraries in the same category - **Competitive Intelligence**: Monitor competitors' open source activity - **Portfolio Building**: Find top repos by language for learning - **Market Research**: Identify popular developer tools and frameworks ### Notes - Uses the public GitHub API (no auth required) - Rate limit: 60 requests/hour for unauthenticated access - The scraper automatically tracks and respects rate limits, waiting when necessary - GitHub search API returns a maximum of 1000 results per query - Delays between requests ensure reliable scraping within rate limits *** ### Run on Apify This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) — a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features. [Try Apify free ->](https://apify.com/?fpr=lulzasaur) # Actor input Schema ## `mode` (type: `string`): Choose 'search' to search repos by keyword, or 'repos' to fetch specific repos by owner/name. ## `searchQueries` (type: `array`): Keywords to search for (mode=search). E.g. 'web scraping', 'machine learning'. ## `repoNames` (type: `array`): Specific repos to fetch (mode=repos). Format: owner/name. E.g. 'facebook/react', 'torvalds/linux'. ## `sort` (type: `string`): Sort order for search results. ## `language` (type: `string`): Filter repositories by programming language (mode=search). E.g. 'python', 'javascript', 'rust'. ## `limit` (type: `integer`): Maximum number of repositories to return per query. ## `proxyConfiguration` (type: `object`): Optional proxy to use. ## Actor input object example ```json { "mode": "search", "searchQueries": [ "web scraping" ], "repoNames": [], "sort": "stars", "language": "", "limit": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/github-stars-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 = {} # Run the Actor and wait for it to finish run = client.actor("lulzasaur/github-stars-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 '{}' | apify call lulzasaur/github-stars-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/github-stars-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Stars Scraper", "description": "Scrape GitHub repository data. Search by keyword or language, fetch specific repos. Extract star counts, forks, topics, licenses, and full repo metadata.", "version": "1.0", "x-build-id": "Vg9vwOnlMGacahA3c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~github-stars-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-github-stars-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~github-stars-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-github-stars-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~github-stars-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-github-stars-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Mode", "enum": [ "search", "repos" ], "type": "string", "description": "Choose 'search' to search repos by keyword, or 'repos' to fetch specific repos by owner/name.", "default": "search" }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Keywords to search for (mode=search). E.g. 'web scraping', 'machine learning'.", "items": { "type": "string" }, "default": [ "web scraping" ] }, "repoNames": { "title": "Repository Names", "type": "array", "description": "Specific repos to fetch (mode=repos). Format: owner/name. E.g. 'facebook/react', 'torvalds/linux'.", "items": { "type": "string" }, "default": [] }, "sort": { "title": "Sort By", "enum": [ "stars", "forks", "updated" ], "type": "string", "description": "Sort order for search results.", "default": "stars" }, "language": { "title": "Language Filter", "type": "string", "description": "Filter repositories by programming language (mode=search). E.g. 'python', 'javascript', 'rust'.", "default": "" }, "limit": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of repositories to return per query.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use." } } }, "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 } } } } } } } } } } ```