# GitHub Trending Scraper (`fatihai-tools/github-trending-scraper`) Actor Scrape GitHub trending repositories and developers. Track hot open-source projects, discover emerging technologies, and monitor developer ecosystem trends daily, weekly, or monthly. - **URL**: https://apify.com/fatihai-tools/github-trending-scraper.md - **Developed by:** [fatih dağüstü](https://apify.com/fatihai-tools) (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 Trending Scraper Scrape GitHub trending repositories and developers. Filter by programming language and time range. Extract stars, forks, descriptions, contributors, and daily star growth. ### Features - **Trending Repositories** — Top repos by daily/weekly/monthly stars - **Trending Developers** — Top developers with their popular repos - **Language Filters** — Filter by one or multiple programming languages - **README Extraction** — Optionally fetch full README content - **Spoken Language** — Filter by spoken language (en, zh, es, etc.) ### Input | Field | Type | Description | |-------|------|-------------| | `scrapeType` | string | `repositories` or `developers` | | `timeRange` | string | `daily`, `weekly`, or `monthly` | | `languages` | array | Programming languages to filter (e.g., `python`, `javascript`) | | `spokenLanguage` | string | Spoken language code (e.g., `en`, `zh`) | | `includeReadme` | boolean | Fetch README content for each repo (slower) | ### Output Examples #### Repository ```json { "type": "repository", "rank": 1, "owner": "microsoft", "name": "typescript", "fullName": "microsoft/typescript", "url": "https://github.com/microsoft/typescript", "description": "TypeScript is a superset of JavaScript", "language": "TypeScript", "languageColor": "#3178c6", "stars": 98500, "forks": 12300, "starsToday": 456, "starsPeriod": "today", "builtBy": [ { "username": "user1", "avatar": "https://..." } ], "scrapedAt": "2024-01-16T12:00:00.000Z" } ```` #### Developer ```json { "type": "developer", "rank": 1, "username": "torvalds", "displayName": "Linus Torvalds", "url": "https://github.com/torvalds", "avatar": "https://...", "popularRepo": { "name": "linux", "url": "https://github.com/torvalds/linux", "description": "Linux kernel source tree" }, "scrapedAt": "2024-01-16T12:00:00.000Z" } ``` ### Use Cases - **Open Source Intelligence** — Track emerging projects and technologies - **Developer Recruiting** — Find active contributors in specific languages - **Market Research** — Monitor technology trends and adoption - **Content Creation** — Weekly trending repos newsletter or blog - **Investment Research** — Identify popular developer tools early ### How It Works Scrapes the GitHub Trending page directly. No API key required. Optionally uses the GitHub REST API for README content (unauthenticated, 60 requests/hour limit). ### Cost Uses Pay Per Event pricing. Each scraped item (repository or developer) counts as one result. # Actor input Schema ## `scrapeType` (type: `string`): Choose whether to scrape trending repositories or developers. ## `timeRange` (type: `string`): Trending period to scrape. ## `languages` (type: `array`): Filter by programming languages. Leave empty for all languages. Use lowercase (e.g., python, javascript, rust, go, typescript). ## `spokenLanguage` (type: `string`): Filter by spoken language code (e.g., en, zh, es, de, ja). Leave empty for any. ## `includeReadme` (type: `boolean`): Fetch README content for each repository. Slower but more data. ## Actor input object example ```json { "scrapeType": "repositories", "timeRange": "daily", "languages": [], "includeReadme": false } ``` # 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 = { "scrapeType": "repositories", "timeRange": "daily" }; // Run the Actor and wait for it to finish const run = await client.actor("fatihai-tools/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 = { "scrapeType": "repositories", "timeRange": "daily", } # Run the Actor and wait for it to finish run = client.actor("fatihai-tools/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 '{ "scrapeType": "repositories", "timeRange": "daily" }' | apify call fatihai-tools/github-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fatihai-tools/github-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Trending Scraper", "description": "Scrape GitHub trending repositories and developers. Track hot open-source projects, discover emerging technologies, and monitor developer ecosystem trends daily, weekly, or monthly.", "version": "1.0", "x-build-id": "gnBUcY54TlrsKMqOn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fatihai-tools~github-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fatihai-tools-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/fatihai-tools~github-trending-scraper/runs": { "post": { "operationId": "runs-sync-fatihai-tools-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/fatihai-tools~github-trending-scraper/run-sync": { "post": { "operationId": "run-sync-fatihai-tools-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": [ "scrapeType" ], "properties": { "scrapeType": { "title": "What to Scrape", "enum": [ "repositories", "developers" ], "type": "string", "description": "Choose whether to scrape trending repositories or developers.", "default": "repositories" }, "timeRange": { "title": "Time Range", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Trending period to scrape.", "default": "daily" }, "languages": { "title": "Programming Languages", "type": "array", "description": "Filter by programming languages. Leave empty for all languages. Use lowercase (e.g., python, javascript, rust, go, typescript).", "default": [], "items": { "type": "string" } }, "spokenLanguage": { "title": "Spoken Language (Optional)", "type": "string", "description": "Filter by spoken language code (e.g., en, zh, es, de, ja). Leave empty for any." }, "includeReadme": { "title": "Include README", "type": "boolean", "description": "Fetch README content for each repository. Slower but more data.", "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 } } } } } } } } } } ```