# GitHub Trending Scraper (`knotless_cadence/github-trending-scraper`) Actor GitHub trending repos — stars, forks, language. 3+ runs, spot emerging tools early. JSON/CSV. Custom dev tool in 48h, $100 pilot. Email: spinov001@gmail.com • Tips: t.me/scraping\_ai - **URL**: https://apify.com/knotless\_cadence/github-trending-scraper.md - **Developed by:** [Alex](https://apify.com/knotless_cadence) (community) - **Categories:** Developer tools - **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 Repo Scraper Scrape trending GitHub repositories and search results — extract stars, forks, language, description, contributors, and topics. Track open-source trends, discover popular projects, and monitor the developer ecosystem. ### Features - **Trending repositories** — scrape GitHub's daily, weekly, or monthly trending page - **Language filtering** — get trending repos for specific languages (Python, JavaScript, Rust, Go, etc.) - **Search by keyword** — find repositories across all of GitHub sorted by stars - **Rich repo data** — owner, name, description, language, stars, forks, period stars, topics, contributors - **Auto-pagination** — follows next pages in search results for comprehensive coverage - **Period stats** — see how many stars a repo gained today/this week/this month - **No API token needed** — works out of the box using GitHub's public web pages ### Output Example ```json { "owner": "openai", "name": "whisper", "fullName": "openai/whisper", "url": "https://github.com/openai/whisper", "description": "Robust Speech Recognition via Large-Scale Weak Supervision", "language": "Python", "stars": 72450, "forks": 8120, "periodStars": 1250, "trendingPeriod": "daily", "contributors": ["jong-woo-ha", "raesetje", "Const-me"], "topics": ["speech-recognition", "machine-learning", "pytorch"], "scrapedAt": "2026-03-18T12:00:00.000Z" } ```` ### Use Cases - **Trend monitoring** — track which open-source projects are gaining traction in the developer community - **Technology research** — discover the most popular tools, libraries, and frameworks by language or topic - **Competitive analysis** — monitor competitor open-source projects for star growth and community engagement - **Developer recruiting** — identify active contributors to trending repositories in specific technologies - **Investment research** — find fast-growing open-source projects that may indicate market demand ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `scrapeTrending` | Boolean | `true` | Whether to scrape GitHub's trending page | | `trendingPeriod` | String | `"daily"` | Trending period: daily, weekly, monthly | | `languages` | Array | `[]` | Filter trending repos by language (e.g., `["python", "rust"]`) | | `searchQueries` | Array | `[]` | Search terms to find repositories (sorted by stars) | | `maxReposPerSource` | Number | `50` | Maximum repositories to extract per source | ### Cost Estimation - \~$0.25 per 100 repositories scraped - Trending page (25 repos) completes in under 30 seconds - Free tier: up to 50 repos with Apify free plan ### FAQ **Q: What does "period stars" mean?** A: Period stars show how many new stars a repository received during the selected trending period (today, this week, or this month). It indicates growth momentum. **Q: Can I filter trending repos by multiple languages?** A: Yes. Pass an array of language names in the `languages` parameter, e.g., `["python", "javascript", "rust"]`. Each language gets its own trending page scrape. **Q: Does it work with GitHub's API rate limits?** A: The scraper uses GitHub's public web pages (not the REST API), so there are no API token requirements or rate limits. However, it runs with 5 concurrent requests to be respectful to GitHub's servers. # Actor input Schema ## `scrapeTrending` (type: `boolean`): Whether to scrape repositories from GitHub's trending page ## `trendingPeriod` (type: `string`): Time period for the trending repositories filter ## `languages` (type: `array`): Filter trending by language (e.g., 'python', 'javascript', 'rust') ## `searchQueries` (type: `array`): Search GitHub for repositories ## `maxReposPerSource` (type: `integer`): Maximum number of repositories to extract per search query or trending page ## Actor input object example ```json { "scrapeTrending": true, "trendingPeriod": "daily", "languages": [], "searchQueries": [], "maxReposPerSource": 50 } ``` # 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("knotless_cadence/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("knotless_cadence/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 knotless_cadence/github-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotless_cadence/github-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Trending Scraper", "description": "GitHub trending repos — stars, forks, language. 3+ runs, spot emerging tools early. JSON/CSV. Custom dev tool in 48h, $100 pilot. Email: spinov001@gmail.com • Tips: t.me/scraping_ai", "version": "1.0", "x-build-id": "0EzZvKi4rj9u9j4Ru" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotless_cadence~github-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotless_cadence-github-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/knotless_cadence~github-trending-scraper/runs": { "post": { "operationId": "runs-sync-knotless_cadence-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/knotless_cadence~github-trending-scraper/run-sync": { "post": { "operationId": "run-sync-knotless_cadence-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", "properties": { "scrapeTrending": { "title": "Scrape Trending Repos", "type": "boolean", "description": "Whether to scrape repositories from GitHub's trending page", "default": true }, "trendingPeriod": { "title": "Trending Period", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Time period for the trending repositories filter", "default": "daily" }, "languages": { "title": "Programming Languages", "type": "array", "description": "Filter trending by language (e.g., 'python', 'javascript', 'rust')", "default": [], "items": { "type": "string" } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Search GitHub for repositories", "default": [], "items": { "type": "string" } }, "maxReposPerSource": { "title": "Max Repos Per Source", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of repositories to extract per search query or trending page", "default": 50 } } }, "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 } } } } } } } } } } ```