# Devpost Hackathon Listings Scraper (`jungle_synthesizer/devpost-hackathon-listings-scraper`) Actor Scrapes hackathon listings from Devpost including title, prize totals, themes, sponsors, participant counts, and submission dates. Filter by status, search query, or theme. Ideal for hackathon discovery, sponsor research, and pre-seed founder sourcing. - **URL**: https://apify.com/jungle\_synthesizer/devpost-hackathon-listings-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Jobs, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Devpost Hackathon Listings Scraper Extract hackathon listings from Devpost — title, prize totals, themes, participant counts, submission windows, and host organizations. Filter by status (open/upcoming/ended), keyword search, or theme. No account required. ### What it returns Each hackathon record includes: | Field | Description | |-------|-------------| | `hackathon_id` | Devpost's numeric ID | | `title` | Hackathon name | | `url` | Canonical URL (subdomain on devpost.com) | | `state` | `open` / `upcoming` / `ended` | | `submission_period_dates` | Human-readable submission window | | `time_left_to_submission` | Remaining time string from Devpost | | `prize_amount_raw` | Prize total as displayed (e.g. `$60,000`) | | `prize_amount_usd` | Parsed numeric value in USD | | `prizes_count_cash` | Number of cash prizes | | `themes` | Pipe-separated theme names (e.g. `Machine Learning/AI \| Databases`) | | `is_ai_track` | `true` when the hackathon includes an AI/ML theme | | `participant_count` | Registered participants | | `winners_announced` | Whether winners have been posted | | `host_organization` | Organizing company or institution | | `location_type` | `online` / `in-person` | | `location_city` | City for in-person events | | `thumbnail_url` | Hackathon thumbnail image | | `submission_gallery_url` | Link to project gallery | | `invite_only` | Whether registration requires an invite | | `managed_by_devpost` | Devpost-managed badge flag | | `scraped_at` | ISO-8601 timestamp | ### Input options | Field | Type | Description | |-------|------|-------------| | `maxItems` | integer | Maximum hackathons to return. Leave empty for all. | | `status` | enum | Filter by `open`, `upcoming`, or `ended`. Default: all statuses. | | `searchQuery` | string | Full-text search across titles and descriptions. | | `themeFilter` | string | Client-side partial match on theme names (e.g. `Machine Learning/AI`). | | `orderBy` | enum | Sort order: `recently-added`, `prize-amount`, `deadline`, `submissions-count`. | ### Common use cases **Find all open AI hackathons with prize pools** Set `status: open`, `searchQuery: AI`, `orderBy: prize-amount`. **VC scout pipeline — upcoming events where founders form teams** Set `status: upcoming`, `orderBy: deadline` to surface imminent registration windows. **Sponsor research — identify which organizations run the most hackathons** Pull all records and aggregate by `host_organization`. **Pre-seed founder sourcing** Combine with the F6S and Product Hunt actors to track the same founders across application, hackathon participation, and launch stages. ### Notes The `is_ai_track` flag checks theme IDs and names — it catches `Machine Learning/AI`, `Generative AI`, `LLM`, `Deep Learning`, and similar labels without requiring exact-match input. Prize amounts are parsed from Devpost's HTML-wrapped strings; records with non-standard formatting get `prize_amount_usd: null` with the raw string preserved in `prize_amount_raw`. Devpost caps API responses at 40 per page. A full catalog pull of 13,000+ hackathons takes several minutes at the polite 150ms inter-page delay. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of hackathons to return. Leave empty for all results. ## `status` (type: `string`): Filter hackathons by status. Leave empty for all statuses. ## `searchQuery` (type: `string`): Full-text search across hackathon titles and descriptions (e.g. 'AI', 'blockchain', 'climate'). ## `themeFilter` (type: `string`): Filter by theme keyword as shown on Devpost (e.g. 'Machine Learning/AI', 'Web', 'Healthcare'). Case-sensitive partial match applied client-side. ## `orderBy` (type: `string`): Sort results from the Devpost API. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "orderBy": "recently-added" } ```` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "status": "", "searchQuery": "", "themeFilter": "", "orderBy": "recently-added" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/devpost-hackathon-listings-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "status": "", "searchQuery": "", "themeFilter": "", "orderBy": "recently-added", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/devpost-hackathon-listings-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "status": "", "searchQuery": "", "themeFilter": "", "orderBy": "recently-added" }' | apify call jungle_synthesizer/devpost-hackathon-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/devpost-hackathon-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Devpost Hackathon Listings Scraper", "description": "Scrapes hackathon listings from Devpost including title, prize totals, themes, sponsors, participant counts, and submission dates. Filter by status, search query, or theme. Ideal for hackathon discovery, sponsor research, and pre-seed founder sourcing.", "version": "0.1", "x-build-id": "aQivUyG6NzUzfuX4Y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~devpost-hackathon-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-devpost-hackathon-listings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~devpost-hackathon-listings-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-devpost-hackathon-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~devpost-hackathon-listings-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-devpost-hackathon-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of hackathons to return. Leave empty for all results." }, "status": { "title": "Status Filter", "enum": [ "", "open", "upcoming", "ended" ], "type": "string", "description": "Filter hackathons by status. Leave empty for all statuses." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Full-text search across hackathon titles and descriptions (e.g. 'AI', 'blockchain', 'climate')." }, "themeFilter": { "title": "Theme Filter", "type": "string", "description": "Filter by theme keyword as shown on Devpost (e.g. 'Machine Learning/AI', 'Web', 'Healthcare'). Case-sensitive partial match applied client-side." }, "orderBy": { "title": "Sort Order", "enum": [ "recently-added", "prize-amount", "deadline", "submissions-count" ], "type": "string", "description": "Sort results from the Devpost API." } } }, "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 } } } } } } } } } } ```