# GitHub Trending Scraper (`leftwinglautus/github-trending-scraper`) Actor Scrapes GitHub trending repositories by language and time period. Extracts repo name, author, description, language, stars, forks, and daily star growth. - **URL**: https://apify.com/leftwinglautus/github-trending-scraper.md - **Developed by:** [Moeeze Hassan](https://apify.com/leftwinglautus) (community) - **Categories:** Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / 1,000 dataset items 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 Scrape [GitHub Trending](https://github.com/trending) repositories filtered by programming language, time period, and spoken language. The actor parses the trending page HTML and returns structured data for each repo including name, author, description, stars, forks, and daily/weekly star growth. ### Features - Filter trending repos by programming language (e.g. `python`, `javascript`, `go`) - Choose a trending window: `daily`, `weekly`, or `monthly` - Filter by spoken language code (e.g. `en`, `zh`, `es`) - Extracts star counts, fork counts, and star growth for the selected period ### Input Fields | Field | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | `language` | string | ❌ | `""` | Filter trending repos by programming language (e.g. `python`, `javascript`, `go`). Leave empty for all languages. | | `since` | string (enum) | ❌ | `daily` | Trending time period: `daily`, `weekly`, or `monthly`. | | `spokenLanguage` | string | ❌ | `""` | Filter by spoken language code (e.g. `en`, `zh`, `es`). Leave empty for all. | | `maxResults` | integer | ❌ | `30` | Maximum number of trending repositories to scrape (1–100). | ### Output Fields Each pushed dataset item is a repository record with the following fields: | Field | Type | Description | | --- | --- | --- | | `name` | string | Repository name. | | `author` | string | Repository owner / author. | | `url` | string | Full URL to the repository. | | `description` | string | Repository description. | | `language` | string | Primary programming language. | | `stars` | integer | Total star count. | | `forks` | integer | Total fork count. | | `starsToday` | integer | Stars gained during the selected period (daily/weekly/monthly). | | `totalStars` | integer | Total star count (alias of `stars`). | ### Usage Example #### Today's trending Python repositories ```json { "language": "python", "since": "daily", "maxResults": 30 } ```` #### Weekly trending repos across all languages ```json { "since": "weekly", "maxResults": 50 } ``` #### Monthly trending Go repos in English ```json { "language": "go", "since": "monthly", "spokenLanguage": "en", "maxResults": 25 } ``` #### Run via the Apify CLI ```bash apify run github-trending-scraper --input '{"language":"python","since":"daily","maxResults":30}' ``` ### Data Source Trending repositories are scraped from `https://github.com/trending` by parsing the rendered HTML with BeautifulSoup. # Actor input Schema ## `language` (type: `string`): Filter trending repos by programming language (e.g. 'python', 'javascript', 'go'). Leave empty for all languages. ## `since` (type: `string`): Trending time period. ## `spokenLanguage` (type: `string`): Filter by spoken language code (e.g. 'en', 'zh', 'es'). Leave empty for all. ## `maxResults` (type: `integer`): Maximum number of trending repositories to scrape. ## Actor input object example ```json { "language": "", "since": "daily", "spokenLanguage": "", "maxResults": 30 } ``` # 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("leftwinglautus/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("leftwinglautus/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 leftwinglautus/github-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leftwinglautus/github-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Trending Scraper", "description": "Scrapes GitHub trending repositories by language and time period. Extracts repo name, author, description, language, stars, forks, and daily star growth.", "version": "0.1", "x-build-id": "4bVcdY9R3T1FsG0Q8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leftwinglautus~github-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leftwinglautus-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/leftwinglautus~github-trending-scraper/runs": { "post": { "operationId": "runs-sync-leftwinglautus-github-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/leftwinglautus~github-trending-scraper/run-sync": { "post": { "operationId": "run-sync-leftwinglautus-github-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "language": { "title": "Programming Language", "type": "string", "description": "Filter trending repos by programming language (e.g. 'python', 'javascript', 'go'). Leave empty for all languages.", "default": "" }, "since": { "title": "Time Period", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Trending time period.", "default": "daily" }, "spokenLanguage": { "title": "Spoken Language", "type": "string", "description": "Filter by spoken language code (e.g. 'en', 'zh', 'es'). Leave empty for all.", "default": "" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of trending repositories to scrape.", "default": 30 } } }, "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 } } } } } } } } } } ```