# GitHub Trending Scraper — Discover Rising Open-Source Projects (`klondikeking/github-trending-scraper`) Actor Extract trending repositories from GitHub Trending with stars, language, description, and daily growth metrics. Perfect for developer research, competitive analysis, and market intelligence. - **URL**: https://apify.com/klondikeking/github-trending-scraper.md - **Developed by:** [Pierrick McD0nald](https://apify.com/klondikeking) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 repository scrapeds 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 Repositories Scraper — Extract Popular Open Source Projects Scrape GitHub Trending to discover the most popular open source repositories by programming language, time period, and spoken language. This Actor extracts repository metadata including stars, forks, descriptions, and trending rankings in structured JSON format for analysis, monitoring, and lead generation. GitHub Trending is the go-to destination for developers tracking what's hot in the open source community. Whether you're researching emerging technologies, monitoring competitor projects, or curating content for a developer newsletter, this scraper provides clean, structured data without the hassle of manual extraction. ### Use Cases - **Technology Research** — Track which programming languages and frameworks are gaining traction among developers - **Competitor Monitoring** — Keep tabs on trending projects in your niche to understand market movements - **Developer Newsletter Curation** — Source content for weekly digests featuring the best new open source projects - **Recruiting Intelligence** — Identify rapidly growing projects to find companies hiring or talented developers to recruit - **Investment Research** — Monitor GitHub activity as an indicator of technology trends and startup momentum - **Portfolio Tracking** — Watch your own projects climb the trending charts and measure their community impact ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `timeRange` | String | Yes | Trending period: `daily`, `weekly`, or `monthly` (default: daily) | | `language` | String | No | Filter by programming language (e.g., `python`, `javascript`, `typescript`, `go`, `rust`). Leave empty for all languages. | | `spokenLanguage` | String | No | Filter by spoken language code (e.g., `en`, `zh`, `es`, `de`). Leave empty for all. | | `maxItems` | Number | No | Maximum repositories to extract, 1-100 (default: 25) | | `proxyConfiguration` | Object | No | Proxy settings for requests | ### Output The Actor outputs a dataset with the following fields: ```json { "rank": 1, "repository": "owner/repo-name", "owner": "owner", "name": "repo-name", "url": "https://github.com/owner/repo-name", "description": "Project description", "language": "TypeScript", "stars": 15000, "starsToday": 245, "forks": 1200, "timeRange": "daily", "scrapedAt": "2026-04-23T08:30:00.000Z" } ```` ### Pricing Pay per event: $0.001 per repository extracted (minimum charge: $0.001 per run). ### Limitations - GitHub Trending displays a maximum of 25 repositories per language/time combination - Repository descriptions may be truncated for projects with very long README intros - Stars "today" reflects the selected time range (daily/weekly/monthly), not calendar days - Rate limiting may apply for very high-frequency scraping ### FAQ **Q: Can I scrape all programming languages at once?**\ A: Yes, leave the `language` field empty to get trending repositories across all languages. **Q: Does this work with private repositories?**\ A: No, this scraper only extracts data from public repositories shown on GitHub Trending. **Q: How often is GitHub Trending updated?**\ A: GitHub updates trending rankings throughout the day based on recent star activity. **Q: Can I schedule this Actor to run daily?**\ A: Yes, use Apify Schedules to automate daily, weekly, or custom interval runs. ### Changelog - **v1.0.0** — Initial release with full GitHub Trending extraction support *** *Built for developers who need clean data without the overhead of browser automation. Fast, reliable, and cost-effective.* # Actor input Schema ## `timeRange` (type: `string`): Trending time period to scrape ## `language` (type: `string`): Filter by programming language (e.g., python, javascript, typescript, go, rust). Leave empty for all languages. ## `spokenLanguage` (type: `string`): Filter by repository spoken language code (e.g., en, zh, es, de). Leave empty for all. ## `maxItems` (type: `integer`): Maximum number of repositories to extract ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper ## Actor input object example ```json { "timeRange": "daily", "language": "python", "spokenLanguage": "en", "maxItems": 25, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): No description ## `stats` (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 = { "timeRange": "daily", "language": "python", "spokenLanguage": "en", "maxItems": 25, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("klondikeking/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 = { "timeRange": "daily", "language": "python", "spokenLanguage": "en", "maxItems": 25, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("klondikeking/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 '{ "timeRange": "daily", "language": "python", "spokenLanguage": "en", "maxItems": 25, "proxyConfiguration": { "useApifyProxy": true } }' | apify call klondikeking/github-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=klondikeking/github-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Trending Scraper — Discover Rising Open-Source Projects", "description": "Extract trending repositories from GitHub Trending with stars, language, description, and daily growth metrics. Perfect for developer research, competitive analysis, and market intelligence.", "version": "1.0", "x-build-id": "dcYTJ3SIBWk431tXe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/klondikeking~github-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-klondikeking-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/klondikeking~github-trending-scraper/runs": { "post": { "operationId": "runs-sync-klondikeking-github-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/klondikeking~github-trending-scraper/run-sync": { "post": { "operationId": "run-sync-klondikeking-github-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "timeRange" ], "properties": { "timeRange": { "title": "Time Range", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Trending time period to scrape", "default": "daily" }, "language": { "title": "Programming Language", "type": "string", "description": "Filter by programming language (e.g., python, javascript, typescript, go, rust). Leave empty for all languages.", "default": "" }, "spokenLanguage": { "title": "Spoken Language", "type": "string", "description": "Filter by repository spoken language code (e.g., en, zh, es, de). Leave empty for all.", "default": "" }, "maxItems": { "title": "Maximum Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of repositories to extract", "default": 25 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper" } } }, "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 } } } } } } } } } } ```