# Hackathon Aggregator (`gabrielaxy/hackathon-aggregator`) Actor Every active and upcoming hackathon from Devpost and ETHGlobal in one feed. Updated on demand. No API key required. - **URL**: https://apify.com/gabrielaxy/hackathon-aggregator.md - **Developed by:** [Gabriel Antony Xaviour](https://apify.com/gabrielaxy) (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 ## Hackathon Aggregator **Every active and upcoming hackathon — Devpost + ETHGlobal — in one structured feed. Free.** Stop bookmarking ten sites to track hackathons. Run this actor and get a single dataset of every open or upcoming hackathon across the major platforms. ### What it does Pulls active + upcoming hackathons from: - **Devpost** (all categories: AI, web3, social impact, beginner-friendly, university, …) - **ETHGlobal** (web3 / Ethereum) Returns a unified row per hackathon with name, URL, dates, prize, focus areas, and status. ### Use cases - **Builders** picking which hackathon to enter next month - **Sponsors** scouting events to back / set up bounties at - **Community managers** maintaining an internal hackathon calendar - **VCs** spotting deal flow trends ("everyone is doing AI agents this quarter") - **DevRel teams** planning conference + hackathon presence ### Input ```json { "sources": ["devpost", "ethglobal"], "maxPerSource": 50 } ```` | Field | Type | Description | |---|---|---| | `sources` | array | Subset of `["devpost", "ethglobal"]`. Defaults to both. | | `maxPerSource` | integer | Cap per source (default 50, max 200) | ### Output (example) ```json { "source": "devpost", "name": "Agents Assemble - The Healthcare AI Endgame", "url": "https://agents-assemble-healthcare.devpost.com/", "endDate": "May 10 - 12, 2026", "prize": "$25,000", "status": "open", "focus": ["Health", "Machine Learning/AI", "Beginner Friendly"] } ``` ### Performance - **39 hackathons (9 Devpost + 30 ETHGlobal)**: 9 seconds, $0.002 ### Pricing **Free.** You pay only Apify's tiny platform compute cost (~$0.002 per run), no markup. ### FAQ **Why only Devpost and ETHGlobal?** Those are the highest-quality public listings with proper APIs / structured HTML. MLH, DoraHacks, HackerEarth, Encode Club, etc. can be added — open a feature request. **How fresh is the data?** Hits Devpost + ETHGlobal live every time you run. No cache. Add a cron schedule in Apify to refresh hourly/daily. **Can I filter by category at the actor level?** Not yet — but the `focus` field in each row makes filtering trivial after the run (or in a webhook). ### Author Built by [gabrielaxy](https://apify.com/gabrielaxy). # Actor input Schema ## `sources` (type: `array`): Which platforms to query. Leave empty for all. Working: devpost, ethglobal, devfolio, dorahacks, taikai. Best-effort: superteam, hackquest, bountycaster, akindo, risein, lablab, devspot, stackup. ## `maxPerSource` (type: `integer`): Cap items returned per source. ## Actor input object example ```json { "sources": [ "devpost", "ethglobal", "devfolio", "dorahacks", "superteam", "taikai", "hackquest", "bountycaster", "akindo", "risein", "lablab", "devspot", "stackup" ], "maxPerSource": 30 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("gabrielaxy/hackathon-aggregator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("gabrielaxy/hackathon-aggregator").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 gabrielaxy/hackathon-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gabrielaxy/hackathon-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hackathon Aggregator", "description": "Every active and upcoming hackathon from Devpost and ETHGlobal in one feed. Updated on demand. No API key required.", "version": "0.1", "x-build-id": "KxMAbg3fBw62Fluf3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gabrielaxy~hackathon-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gabrielaxy-hackathon-aggregator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gabrielaxy~hackathon-aggregator/runs": { "post": { "operationId": "runs-sync-gabrielaxy-hackathon-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gabrielaxy~hackathon-aggregator/run-sync": { "post": { "operationId": "run-sync-gabrielaxy-hackathon-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sources": { "title": "Sources", "uniqueItems": true, "type": "array", "description": "Which platforms to query. Leave empty for all. Working: devpost, ethglobal, devfolio, dorahacks, taikai. Best-effort: superteam, hackquest, bountycaster, akindo, risein, lablab, devspot, stackup.", "default": [ "devpost", "ethglobal", "devfolio", "dorahacks", "superteam", "taikai", "hackquest", "bountycaster", "akindo", "risein", "lablab", "devspot", "stackup" ], "items": { "type": "string" } }, "maxPerSource": { "title": "Max per source", "minimum": 1, "maximum": 200, "type": "integer", "description": "Cap items returned per source.", "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 } } } } } } } } } } ```