# Unstop Scraper (`solidcode/unstop-scraper`) Actor \[💰 $3.0 / 1K] Extract Unstop opportunities — hackathons, competitions, jobs, internships, quizzes, scholarships, workshops and conferences. Search by keyword, pick types, or paste URLs. Get title, organizer, deadline, prize, fees, registrations, eligibility, mode, tags and link per result. - **URL**: https://apify.com/solidcode/unstop-scraper.md - **Developed by:** [SolidCode](https://apify.com/solidcode) (community) - **Categories:** Jobs, Lead generation, Other - **Stats:** 10 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Unstop Scraper Pull opportunities from Unstop (formerly Dare2Compete) at scale — hackathons, competitions, jobs, internships, quizzes, scholarships, workshops, and conferences, each with a parsed ISO deadline, prize, registration count, fee status, and eligibility labels. Search by keyword, pick from eight opportunity types, or paste any Unstop URL — no login, no account, no manual link-hunting. Built for students, campus recruiters, community managers, and market researchers who need a clean, structured feed of live opportunities without checking Unstop by hand every day. ### Why This Scraper? - **Eight opportunity types in one actor** — hackathons, competitions, jobs, internships, quizzes, scholarships, workshops, and conferences. Pick any combination; each type is crawled in full in a single run. - **~17 structured fields per opportunity** — far richer than link-and-title exports: organizer, prize, registration count, eligibility, mode, location, banner image, tags, and status all captured per row. - **Parsed ISO-8601 deadlines, not raw text** — every opportunity gets a machine-sortable `deadline` (registration close date) *and* the original human-readable `deadlineText` like "12 days left", so you can sort, filter, and alert by real dates. - **Live registration counts and Free/Paid fee status** — gauge each opportunity's popularity and cost at a glance without opening a single page. - **Eligibility labels on every row** — clean, human-readable eligibility tags (e.g. "Undergraduate", "MBA", "Working Professional") pulled from Unstop's own filters, not a raw course tree. - **Three ways in — keyword, type picker, or URL** — search "Flipkart" or "finance" across titles and organizers, browse a whole type, or drop in a single-opportunity link for exactly one result. - **No account, no login, no API key** — Unstop has no public developer API. This is the fastest path from a keyword to a structured opportunity dataset. - **Unlimited-results mode** — set the cap to `0` to sweep an entire opportunity type, or keep a tight limit for fast, focused pulls. ### Use Cases **Student & Career Discovery** - Track every open hackathon and competition in your field, sorted by deadline - Surface paid internships and entry-level jobs by keyword ("data science", "marketing") - Monitor scholarships and their eligibility windows before they close - Build a personal opportunity calendar from parsed ISO deadlines **Campus & Community Management** - Feed a student newsletter or Discord with the week's newest opportunities - Filter by eligibility to share only relevant openings with a cohort - Curate workshops and conferences for a professional community - Alert members when a high-value competition opens registration **Recruiting & Employer Branding** - Benchmark which organizers run the most competitions and hiring challenges - Track registration counts to gauge which formats draw the biggest audiences - Monitor competitor hackathons and their prize pools - Identify active talent pools by opportunity type and eligibility **Market & Trend Research** - Measure hackathon and competition volume over time by type - Compare prize pools and participation across organizers - Analyze free vs. paid opportunity mix in a category - Map which companies and institutions are most active on the platform ### Getting Started #### Latest Hackathons (simplest run) Leave everything at the defaults to collect the newest hackathons: ```json { "opportunityTypes": ["hackathons"], "maxResults": 100 } ```` #### Keyword Search Across Types Search for a topic or company across several opportunity types at once: ```json { "searchKeyword": "finance", "opportunityTypes": ["competitions", "internships", "jobs"], "maxResults": 200 } ``` #### Paste Unstop URLs Drop in a listing URL to crawl a whole type, or a single-opportunity URL to grab exactly one: ```json { "startUrls": [ "https://unstop.com/competitions", "https://unstop.com/hackathons/some-hackathon-name-123456" ], "maxResults": 500 } ``` #### Sweep Every Scholarship (unlimited) Set the cap to `0` to collect an entire opportunity type end to end: ```json { "opportunityTypes": ["scholarships"], "maxResults": 0 } ``` ### Input Reference #### What to Scrape | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchKeyword` | string | `""` | Word or phrase to search across opportunity titles and organizers (e.g. "coding", "finance", "Flipkart"). Leave blank to browse by type. | | `opportunityTypes` | select\[] | `["Hackathons"]` | Which kinds of opportunities to collect. Pick one or more: Hackathons, Competitions, Jobs, Internships, Quizzes, Scholarships, Workshops, Conferences. Ignored when Start URLs are provided. | | `startUrls` | string\[] | `[]` | Paste Unstop URLs directly. A listing link (e.g. `https://unstop.com/hackathons`) collects that whole type; a single-opportunity link collects just that one. When present, overrides the type picker. | #### Limits | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxResults` | integer | `100` | Cap on total opportunities returned across all inputs. Set to `0` for no cap. The last page is always kept in full, so a run may return slightly more than this number. | ### Output Each row is one opportunity — a single flat record, ready to drop into a spreadsheet or database: ```json { "id": 1234567, "title": "Smart India Hackathon 2026", "opportunityType": "hackathons", "organizer": "Ministry of Education, Government of India", "organizerType": null, "url": "https://unstop.com/hackathons/smart-india-hackathon-2026-123456", "deadline": "2026-09-15T18:30:00+05:30", "deadlineText": "42 days left", "status": "live", "prize": "₹1,00,000", "registrationFee": "Free", "registrationCount": 18452, "eligibility": ["Undergraduate", "Postgraduate"], "mode": "online", "location": null, "tags": ["AI/ML", "Web Development", "IoT"], "bannerImageUrl": "https://d8it4huxumps7.cloudfront.net/uploads/images/banner.jpg", "scrapedAt": "2026-07-03T20:37:09.976806+00:00" } ``` #### Field Reference | Field | Type | Description | |-------|------|-------------| | `id` | number | Unique Unstop opportunity identifier | | `title` | string | Opportunity title | | `opportunityType` | string | Requested category: hackathons, competitions, jobs, internships, quizzes, scholarships, workshops, or conferences | | `organizer` | string | Hosting company, institution, or organization | | `organizerType` | string | Organizer tier when Unstop provides it (often `null`) | | `url` | string | Direct link to the opportunity page | | `deadline` | string | Registration close date, parsed to ISO 8601 | | `deadlineText` | string | Original human-readable deadline (e.g. "12 days left") | | `status` | string | Opportunity status (e.g. `live`, `closed`) | | `prize` | string | Prize amount with currency symbol when listed (often `null` for jobs and quizzes) | | `registrationFee` | string | `Free` or `Paid` | | `registrationCount` | number | Number of registrations so far | | `eligibility` | string\[] | Human-readable eligibility labels | | `mode` | string | `online` or `offline` | | `location` | string | City/venue for offline opportunities (`null` when online-only) | | `tags` | string\[] | Topic and skill tags | | `bannerImageUrl` | string | Opportunity banner image URL | | `scrapedAt` | string | ISO timestamp of when the row was collected | Some fields — `prize`, `location`, and `organizerType` — are populated only when Unstop lists them for that opportunity, and are `null` otherwise. Jobs and quizzes, for example, rarely carry a prize. ### Tips for Best Results - **Start with a small `maxResults`** — set it to 20–50 on your first run to confirm the data matches your needs, then scale up or switch to `0` for a full sweep. - **Combine types in one run.** Selecting several opportunity types (e.g. competitions + internships + jobs) crawls each in full and pays for a single start — cheaper than one run per type. - **Use the keyword to cut noise.** A broad type sweep returns everything; adding `searchKeyword: "finance"` narrows to titles and organizers that match, giving a far tighter, more relevant set. - **Sort by `deadline`, not `deadlineText`.** The ISO `deadline` field is machine-sortable — use it to build countdown alerts or a chronological opportunity calendar. `deadlineText` is for human display only. - **Paste a single-opportunity URL for one exact row.** A deep Unstop link ending in a numeric ID returns just that opportunity — ideal for enriching a known list without crawling a whole type. - **Filter on `registrationFee` and `registrationCount`.** Free, high-registration opportunities are the ones students act on most — sort by `registrationCount` to surface the most popular openings first. - **Start URLs win over the type picker.** If you paste any valid Unstop URL, the Opportunity Types selection is ignored — leave the URL list empty when you want the type picker to drive the run. ### Pricing **From $3.00 per 1,000 results** — a flat pay-per-result rate that bundles all ~17 fields, parsed deadlines, and eligibility labels at no extra charge. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier. | Results | No discount | Bronze | Silver | Gold | |---------|-------------|--------|--------|------| | 100 | $0.36 | $0.34 | $0.32 | $0.30 | | 1,000 | $3.60 | $3.40 | $3.20 | $3.00 | | 10,000 | $36.00 | $34.00 | $32.00 | $30.00 | | 100,000 | $360.00 | $340.00 | $320.00 | $300.00 | A "result" is any opportunity row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. ### Integrations Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via: - **Zapier** / **Make** / **n8n** — Workflow automation - **Google Sheets** — Direct spreadsheet export - **Slack** / **Email** — Notifications on new results - **Webhooks** — Trigger custom APIs on run completion - **Apify API** — Full programmatic access ### Legal & Ethical Use This actor is designed for legitimate opportunity discovery, career research, community curation, and market analysis. Users are responsible for complying with applicable laws and Unstop's terms of service, including making reasonable-rate requests and respecting content usage rules. Do not use extracted data for spam, harassment, or any illegal purpose. # Actor input Schema ## `searchKeyword` (type: `string`): Word or phrase to search for across opportunity titles and organizers (e.g. 'coding', 'finance', 'Flipkart'). Leave blank to browse by opportunity type instead. ## `opportunityTypes` (type: `array`): Which kinds of opportunities to collect. Pick one or more. Ignored when Start URLs are provided. ## `startUrls` (type: `array`): Paste Unstop URLs directly. A listing link (e.g. https://unstop.com/hackathons) collects that whole opportunity type; a single opportunity link collects just that one opportunity. When any valid URL is provided here, it overrides the Opportunity Types picker above. Unrecognised URLs are skipped with a warning. ## `maxResults` (type: `integer`): Hard cap on total opportunities returned across all inputs. Default 100 — increase for bigger runs, or set to 0 for no cap (an internal upper bound still applies to prevent runaway pagination). The last page is always kept in full, so a run may return slightly more than this number. ## Actor input object example ```json { "opportunityTypes": [ "hackathons" ], "startUrls": [], "maxResults": 100 } ``` # Actor output Schema ## `overview` (type: `string`): Table of opportunities with the most useful fields — title, type, organizer, deadline, prize, and link. ## `details` (type: `string`): Full per-opportunity rows including fees, registration count, eligibility, mode, location, tags and image. # 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 = { "searchKeyword": "", "opportunityTypes": [ "hackathons" ], "startUrls": [], "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("solidcode/unstop-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 = { "searchKeyword": "", "opportunityTypes": ["hackathons"], "startUrls": [], "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("solidcode/unstop-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 '{ "searchKeyword": "", "opportunityTypes": [ "hackathons" ], "startUrls": [], "maxResults": 100 }' | apify call solidcode/unstop-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solidcode/unstop-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Unstop Scraper", "description": "[💰 $3.0 / 1K] Extract Unstop opportunities — hackathons, competitions, jobs, internships, quizzes, scholarships, workshops and conferences. Search by keyword, pick types, or paste URLs. Get title, organizer, deadline, prize, fees, registrations, eligibility, mode, tags and link per result.", "version": "1.0", "x-build-id": "E7cG6llfRIfJikJZO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solidcode~unstop-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solidcode-unstop-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/solidcode~unstop-scraper/runs": { "post": { "operationId": "runs-sync-solidcode-unstop-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/solidcode~unstop-scraper/run-sync": { "post": { "operationId": "run-sync-solidcode-unstop-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": { "searchKeyword": { "title": "Search Keyword", "type": "string", "description": "Word or phrase to search for across opportunity titles and organizers (e.g. 'coding', 'finance', 'Flipkart'). Leave blank to browse by opportunity type instead." }, "opportunityTypes": { "title": "Opportunity Types", "uniqueItems": true, "type": "array", "description": "Which kinds of opportunities to collect. Pick one or more. Ignored when Start URLs are provided.", "items": { "type": "string", "enum": [ "hackathons", "competitions", "jobs", "internships", "quizzes", "scholarships", "workshops", "conferences" ], "enumTitles": [ "Hackathons", "Competitions", "Jobs", "Internships", "Quizzes", "Scholarships", "Workshops", "Conferences" ] } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Paste Unstop URLs directly. A listing link (e.g. https://unstop.com/hackathons) collects that whole opportunity type; a single opportunity link collects just that one opportunity. When any valid URL is provided here, it overrides the Opportunity Types picker above. Unrecognised URLs are skipped with a warning.", "items": { "type": "string" } }, "maxResults": { "title": "Maximum Results", "minimum": 0, "type": "integer", "description": "Hard cap on total opportunities returned across all inputs. Default 100 — increase for bigger runs, or set to 0 for no cap (an internal upper bound still applies to prevent runaway pagination). The last page is always kept in full, so a run may return slightly more than this number.", "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 } } } } } } } } } } ```