# GitHub Trending Scraper - Repos & Developers (`legend006/github-trending-scraper`) Actor Scrape GitHub's trending repositories and developers daily, weekly, or monthly. Filter by programming language and spoken language. Get stars, forks, descriptions, and full metadata. Perfect for tech trend tracking, AI tool discovery, and developer recruiting. - **URL**: https://apify.com/legend006/github-trending-scraper.md - **Developed by:** [NIJ KANANI](https://apify.com/legend006) (community) - **Categories:** Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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 Trending Scraper Pull **GitHub's trending repositories and developers** — by programming language, time period, and spoken language — directly from GitHub's official trending page. Daily, weekly, or monthly. > 🚀 Built for tech analysts, AI researchers, recruiters, and content creators tracking what's hot in the developer world. --- ### ✨ What you can do - 📦 **Trending repos** — top GitHub repositories with stars, forks, language, descriptions - 👨‍💻 **Trending developers** — most followed/discussed devs of the period - 🌐 **Filter by programming language** — Python, TypeScript, Rust, Go, etc. - 🕒 **Time periods** — today, this week, this month - 🗣️ **Spoken language filter** — find Chinese, Japanese, Russian-language repos - 📤 JSON / CSV / Excel export --- ### 🚀 Quick start 1. Click **Try for free** 2. Pick mode: `repositories`, `developers`, or `both` 3. Pick `since`: daily / weekly / monthly 4. Optional: filter by programming language(s) 5. Click **Start** --- ### 📥 Input examples #### Top trending Python repos this week ```json { "mode": "repositories", "languages": ["python"], "since": "weekly" } ```` #### Both repos and devs across multiple languages ```json { "mode": "both", "languages": ["typescript", "rust", "go"], "since": "daily" } ``` #### All trending repos worldwide today ```json { "mode": "repositories", "languages": [], "since": "daily", "maxItemsPerList": 25 } ``` *** ### 📤 Output #### Repository ```json { "type": "repository", "rank": 1, "name": "awesome-tool", "owner": "username", "fullName": "username/awesome-tool", "description": "Tool that does something great", "language": "Python", "stars": 12500, "forks": 850, "starsToday": 245, "since": "daily", "url": "https://github.com/username/awesome-tool", "builtBy": [{ "username": "user1", "avatar": "https://..." }], "scrapedAt": "2026-05-06T08:00:00.000Z" } ``` #### Developer ```json { "type": "developer", "rank": 1, "username": "torvalds", "fullName": "Linus Torvalds", "avatar": "https://...", "profileUrl": "https://github.com/torvalds", "popularRepo": { "name": "linux", "description": "Linux kernel source tree", "url": "https://github.com/torvalds/linux" }, "since": "weekly", "language": null, "scrapedAt": "2026-05-06T08:00:00.000Z" } ``` *** ### 🎯 Use cases | Who | Why | |---|---| | 🤖 AI researchers | Discover hot ML/AI repos before they're widely known | | 📰 Tech newsletter writers | Daily content mining for "trending this week" sections | | 🎯 Recruiters | Find rising stars in specific languages/communities | | 📊 VCs & scouts | Early signal for investable open-source projects | | 🏢 DevRel teams | Track ecosystem activity around your tech stack | | 📈 Indie hackers | Idea mining + competitor watching | *** ### ⚙️ Tech notes - Scrapes the official `https://github.com/trending` and `/trending/developers` pages - No login required, no API key, no rate-limit headaches - Output is GitHub's own ranking (most-starred in the period for that language) - Supports all GitHub-supported language slugs *** ### ❓ FAQ **Why scrape the page instead of using GitHub API?** GitHub's REST API doesn't expose the curated `/trending` ranking. The trending pages are public and stable. **Can I run on a schedule?** Yes. Use Apify Schedules for daily runs at 9 AM your time → never miss a trend. **How fast?** \~3-5 seconds per language per list. **Limit on items?** GitHub's trending page shows ~25 items max. There's no pagination. # Actor input Schema ## `mode` (type: `string`): Pick 'repositories' for trending repos, 'developers' for trending devs, or 'both'. ## `languages` (type: `array`): Programming languages to filter by (e.g. 'python', 'typescript', 'rust', 'go'). Leave empty for all languages. One trending list returned per language. ## `since` (type: `string`): Time window for trending. ## `spokenLanguage` (type: `string`): ISO code for the README language (e.g. 'en', 'zh', 'ja'). Repos only. ## `maxItemsPerList` (type: `integer`): GitHub Trending shows up to ~25 per page. Set this lower to skip later items. ## Actor input object example ```json { "mode": "repositories", "languages": [], "since": "daily", "maxItemsPerList": 25 } ``` # 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("legend006/github-trending-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("legend006/github-trending-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 legend006/github-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=legend006/github-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Trending Scraper - Repos & Developers", "description": "Scrape GitHub's trending repositories and developers daily, weekly, or monthly. Filter by programming language and spoken language. Get stars, forks, descriptions, and full metadata. Perfect for tech trend tracking, AI tool discovery, and developer recruiting.", "version": "0.1", "x-build-id": "UBSv0IiYh3dDP3ih8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/legend006~github-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-legend006-github-trending-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/legend006~github-trending-scraper/runs": { "post": { "operationId": "runs-sync-legend006-github-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/legend006~github-trending-scraper/run-sync": { "post": { "operationId": "run-sync-legend006-github-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode", "since" ], "properties": { "mode": { "title": "What to scrape", "enum": [ "repositories", "developers", "both" ], "type": "string", "description": "Pick 'repositories' for trending repos, 'developers' for trending devs, or 'both'.", "default": "repositories" }, "languages": { "title": "Programming languages", "type": "array", "description": "Programming languages to filter by (e.g. 'python', 'typescript', 'rust', 'go'). Leave empty for all languages. One trending list returned per language.", "default": [], "items": { "type": "string" } }, "since": { "title": "Trending period", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Time window for trending.", "default": "daily" }, "spokenLanguage": { "title": "Spoken language code (optional)", "type": "string", "description": "ISO code for the README language (e.g. 'en', 'zh', 'ja'). Repos only." }, "maxItemsPerList": { "title": "Max items per list", "minimum": 1, "maximum": 25, "type": "integer", "description": "GitHub Trending shows up to ~25 per page. Set this lower to skip later items.", "default": 25 } } }, "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 } } } } } } } } } } ```