# GitHub Trending Scraper | Repositories & Developers by Language (`resounding_diplomacy/github-trending-scraper`) Actor Scrape GitHub trending repositories and developers by programming language and time period. Extract repo names, stars, forks, descriptions, topics, and contributor profiles. Track open source trends daily, weekly, or monthly. Export as JSON or CSV, run via API, or schedule automated runs. - **URL**: https://apify.com/resounding\_diplomacy/github-trending-scraper.md - **Developed by:** [alars num](https://apify.com/resounding_diplomacy) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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's Trending page to discover the fastest-growing repositories and developers. Filter by programming language, time range, and spoken language, then export structured data with stars, forks, descriptions, contributor avatars, and topic tags. No API key or authentication required. This actor parses the GitHub Trending HTML directly, extracts rich metadata for each item, and applies optional post-scrape sorting so you can rank results by total stars or stars gained in the period. Export results to JSON, CSV, or via API. ### Features - Two modes: **repositories** and **developers** - Filter by programming language (e.g. `python`, `rust`, `go`) - Time range support: `daily`, `weekly`, or `monthly` trending - Spoken language code filter for localized trending - Repository data: author, name, description, language, stars, forks, stars gained in period, top contributors, and topic tags - Developer data: username, full name, profile URL, avatar, company ("Works for"), and their popular repo - Post-scrape sorting by total stars or stars gained in the selected period - Automatic rank assignment after sorting ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | String | `repositories` | Scrape type: `repositories` or `developers` | | `language` | String | `""` | Programming language filter (e.g. `python`) | | `since` | String | `daily` | Time range: `daily`, `weekly`, or `monthly` | | `spokenLanguageCode` | String | `""` | Spoken language code (e.g. `en`) for localized trending | | `sortBy` | String | `""` | Post-scrape sort: `stars` (total stars) or `stars-today` (gained in period). Leave empty for default GitHub order | | `maxItems` | Integer | `100` | Maximum number of items to return | #### Example input ```json { "mode": "repositories", "language": "python", "since": "weekly", "sortBy": "stars-today", "maxItems": 50 } ```` ### Output #### Repository output ```json { "rank": 1, "author": "openai", "name": "tiktoken", "fullName": "openai/tiktoken", "url": "https://github.com/openai/tiktoken", "description": "Fast BPE tokeniser for use with OpenAI's models", "language": "Python", "stars": 12000, "forks": 800, "starsGained": 450, "builtBy": [ { "username": "user1", "avatarUrl": "https://avatars..." } ], "topics": ["tokenization", "openai", "gpt"] } ``` #### Developer output ```json { "rank": 1, "username": "torvalds", "fullName": "Linus Torvalds", "profileUrl": "https://github.com/torvalds", "avatarUrl": "https://avatars...", "worksFor": "", "popularRepo": { "name": "linux", "url": "https://github.com/torvalds/linux", "description": "Linux kernel source tree" } } ``` ### Use cases - **Technology scouting** — discover rising frameworks, libraries, and tools before they go mainstream - **Market research** — identify trending languages and developer ecosystem shifts - **Recruiting** — find active top developers by language and region - **Content creation** — power newsletters, blog posts, and dashboards about trending open source - **Investment intelligence** — track momentum in specific technology categories - **Competitive analysis** — monitor repos gaining traction in your domain ### How to use 1. Open the actor on the Apify Store. 2. Select `mode` (repositories or developers). 3. Optionally set a `language`, `since` time range, and `sortBy`. 4. Click **Start** and wait for the run to complete. 5. Export results to JSON, CSV, Excel, or connect via the Apify API. Schedule recurring runs to track trending repos over time and build a historical dataset of GitHub momentum. # Actor input Schema ## `mode` (type: `string`): Choose whether to scrape trending repositories or trending developers. ## `language` (type: `string`): Filter by programming language (e.g. python, javascript, typescript, rust, go). Leave empty for all languages. ## `since` (type: `string`): Time period for trending results: today, this week, or this month. ## `spokenLanguageCode` (type: `string`): Filter by spoken language of the repository description. Use ISO language codes (e.g. en for English, zh for Chinese, ja for Japanese, ko for Korean, es for Spanish, de for German, fr for French, pt-BR for Brazilian Portuguese). Leave empty for all spoken languages. ## `sortBy` (type: `string`): Sort scraped results by total stars or stars gained today. Default uses GitHub's own ranking. ## `maxItems` (type: `integer`): Maximum number of items (repos or developers) to return. GitHub shows ~25 per page. ## Actor input object example ```json { "mode": "repositories", "language": "", "since": "daily", "spokenLanguageCode": "", "sortBy": "", "maxItems": 100 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("resounding_diplomacy/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("resounding_diplomacy/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 resounding_diplomacy/github-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=resounding_diplomacy/github-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Trending Scraper | Repositories & Developers by Language", "description": "Scrape GitHub trending repositories and developers by programming language and time period. Extract repo names, stars, forks, descriptions, topics, and contributor profiles. Track open source trends daily, weekly, or monthly. Export as JSON or CSV, run via API, or schedule automated runs.", "version": "0.0", "x-build-id": "PPzKTcXM26r4RTa91" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/resounding_diplomacy~github-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-resounding_diplomacy-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/resounding_diplomacy~github-trending-scraper/runs": { "post": { "operationId": "runs-sync-resounding_diplomacy-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/resounding_diplomacy~github-trending-scraper/run-sync": { "post": { "operationId": "run-sync-resounding_diplomacy-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" ], "properties": { "mode": { "title": "Scraping Mode", "enum": [ "repositories", "developers" ], "type": "string", "description": "Choose whether to scrape trending repositories or trending developers.", "default": "repositories" }, "language": { "title": "Programming Language", "type": "string", "description": "Filter by programming language (e.g. python, javascript, typescript, rust, go). Leave empty for all languages.", "default": "" }, "since": { "title": "Date Range", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Time period for trending results: today, this week, or this month.", "default": "daily" }, "spokenLanguageCode": { "title": "Spoken Language Code", "type": "string", "description": "Filter by spoken language of the repository description. Use ISO language codes (e.g. en for English, zh for Chinese, ja for Japanese, ko for Korean, es for Spanish, de for German, fr for French, pt-BR for Brazilian Portuguese). Leave empty for all spoken languages.", "default": "" }, "sortBy": { "title": "Sort Results", "enum": [ "", "stars", "stars-today" ], "type": "string", "description": "Sort scraped results by total stars or stars gained today. Default uses GitHub's own ranking.", "default": "" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of items (repos or developers) to return. GitHub shows ~25 per page.", "default": 100 } } }, "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 } } } } } } } } } } ```