# GitHub Trending Repositories Scraper (`codingfrontend/github-trending-repositories-scraper`) Actor Scrape trending repositories from GitHub Trending. Extracts repo name, owner, description, stars, forks, language, contributors, and current period star gains. - **URL**: https://apify.com/codingfrontend/github-trending-repositories-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Developer tools, Automation, Other - **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 Repositories Scraper Scrape trending repositories from [GitHub Trending](https://github.com/trending). Extract repository name, owner, description, programming language, star counts, fork counts, contributors, and topics. ### Features - **Daily / Weekly / Monthly trending** — configurable time range - **Language filtering** — filter by any programming language (python, javascript, rust, etc.) - **Spoken language filtering** — filter by documentation/spoken language - **Rich data** — extracts 15+ fields per repository including language color, active contributors, period star gains - **Topics** — captures repository topics/tags - **Proxy support** — optional (GitHub is generally accessible without proxy) ### Input Parameters | Field | Type | Default | Description | |-------|------|---------|-------------| | `since` | string | `"daily"` | Time range: `daily`, `weekly`, `monthly` | | `language` | string | `""` | Filter by programming language (e.g. `python`, `javascript`) | | `spokenLanguage` | string | `""` | Filter by spoken language code (e.g. `en`, `zh`) | | `maxItems` | integer | `25` | Maximum repositories to scrape (GitHub shows ~25 per page) | | `proxyConfiguration` | object | — | Optional proxy settings | #### Example INPUT.json ```json { "since": "daily", "language": "python", "maxItems": 25 } ```` ### Output Fields | Field | Type | Description | |-------|------|-------------| | `rank` | integer | Position in the trending list | | `name` | string | Repository short name | | `owner` | string | GitHub username or organization | | `fullName` | string | `owner/repo` format | | `url` | string | Full GitHub URL | | `description` | string | Repository description | | `language` | string | Primary programming language | | `languageColor` | string | Language badge hex color | | `stars` | integer | Total star count | | `forks` | integer | Total fork count | | `starsToday` | integer | Stars gained in the selected period | | `topics` | array | Repository topics/tags | | `contributors` | array | Top contributor avatars and logins | | `since` | string | Time range filter used | | `languageFilter` | string | Language filter applied | | `scrapedAt` | string | ISO 8601 scrape timestamp | #### Example Output ```json { "rank": 1, "name": "awesome-llm", "owner": "someuser", "fullName": "someuser/awesome-llm", "url": "https://github.com/someuser/awesome-llm", "description": "A curated list of LLM resources", "language": "Python", "languageColor": "#3572A5", "stars": 45200, "forks": 3100, "starsToday": 1200, "topics": ["llm", "machine-learning", "ai"], "contributors": [{"avatarUrl": "https://avatars.github.com/...", "login": "user1"}], "since": "daily", "languageFilter": "python", "scrapedAt": "2025-05-15T10:00:00.000Z" } ``` ### Notes - GitHub Trending shows approximately 25 repositories per page - No authentication required - Generally accessible without proxy - Data refreshes daily; run regularly to track trending over time # Actor input Schema ## `language` (type: `string`): Filter by programming language (e.g. 'javascript', 'python', 'typescript'). Leave empty for all languages. ## `since` (type: `string`): Trending time range: daily, weekly, or monthly. ## `spokenLanguage` (type: `string`): Filter by spoken language of repository (e.g. 'en', 'zh', 'es'). Leave empty for any. ## `maxItems` (type: `integer`): Maximum number of trending repositories to scrape. ## `proxyConfiguration` (type: `object`): Optional proxy settings. GitHub is generally accessible without proxy. ## Actor input object example ```json { "language": "", "since": "daily", "spokenLanguage": "", "maxItems": 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 = { "language": "", "maxItems": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/github-trending-repositories-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 = { "language": "", "maxItems": 25, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/github-trending-repositories-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 '{ "language": "", "maxItems": 25 }' | apify call codingfrontend/github-trending-repositories-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/github-trending-repositories-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Trending Repositories Scraper", "description": "Scrape trending repositories from GitHub Trending. Extracts repo name, owner, description, stars, forks, language, contributors, and current period star gains.", "version": "1.0", "x-build-id": "adxjesdcwezaZN9DS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~github-trending-repositories-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-github-trending-repositories-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/codingfrontend~github-trending-repositories-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-github-trending-repositories-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/codingfrontend~github-trending-repositories-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-github-trending-repositories-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 by programming language (e.g. 'javascript', 'python', 'typescript'). Leave empty for all languages.", "default": "" }, "since": { "title": "Time Range", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Trending time range: daily, weekly, or monthly.", "default": "daily" }, "spokenLanguage": { "title": "Spoken Language Filter", "type": "string", "description": "Filter by spoken language of repository (e.g. 'en', 'zh', 'es'). Leave empty for any.", "default": "" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum number of trending repositories to scrape.", "default": 25 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy settings. GitHub is generally accessible without proxy." } } }, "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 } } } } } } } } } } ```