# Scholarship Finder Scraper — 23,000+ US Scholarships, 23 Fields (`commanding_hotdog/scholarship-finder-scraper`) Actor Find 23,000+ US scholarships — awards, deadlines, eligibility, amounts. 23 fields. Keyword search, sort by award/deadline. Education financial aid research. - **URL**: https://apify.com/commanding\_hotdog/scholarship-finder-scraper.md - **Developed by:** [qingwa](https://apify.com/commanding_hotdog) (community) - **Categories:** Education, Lead generation - **Stats:** 2 total users, 0 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 and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Scholarship Finder Scraper Extract comprehensive US scholarship data from CollegeScholarships.org — **23,000+ scholarships** with **20+ fields** per record. ### Features - 🎓 **23,000+ scholarships** from CollegeScholarships.org - 📊 **20+ fields** per scholarship (award min/max, deadline, eligibility, sponsor, etc.) - 🔍 **Keyword search** — filter by title, description, or major - 💰 **Award sorting** — sort by highest/lowest award or deadline - 🏷️ **Min award filter** — only scholarships above a threshold - 📄 **Detail page enrichment** — visit each scholarship's page for full data - 🚀 **Fast & reliable** — static HTML, no JavaScript rendering needed ### Output Fields | Field | Description | Source | |---|---|---| | `title` | Scholarship name | Listing | | `detail_url` | Full URL to scholarship page | Listing | | `award` | Award amount (text) | Listing | | `award_amount` | Award amount (numeric) | Listing | | `deadline` | Application deadline | Listing | | `description` | Scholarship description | Listing | | `geographic_restrictions` | Geographic eligibility | Listing | | `enrollment_level` | Required enrollment level | Listing | | `majors` | Eligible majors/fields | Listing | | `min_award` | Minimum award amount | Detail | | `max_award` | Maximum award amount | Detail | | `award_type` | Type (Scholarship/Grant/Fellowship) | Detail | | `renewable` | Whether award is renewable | Detail | | `repay_required` | Whether repayment is required | Detail | | `unlimited_awards` | Whether awards are unlimited | Detail | | `enrollment_detail` | Detailed enrollment requirements | Detail | | `ethnicity` | Ethnicity requirements | Detail | | `gender` | Gender requirements | Detail | | `requirements` | Additional requirements | Detail | | `gpa` | GPA requirement | Detail | | `sponsor_name` | Scholarship sponsor | Detail | | `sponsor_url` | Sponsor website | Detail | | `apply_url` | Direct application link | Detail | | `full_description` | Full description from detail page | Detail | | `source` | Data source identifier | — | ### Input Parameters | Parameter | Type | Default | Description | |---|---|---|---| | `keyword` | String | — | Filter by keyword (e.g., "engineering", "nursing") | | `maxResults` | Select | 100 | Max results: 50/100/200/500/1000/2000/5000 | | `maxPages` | Select | 10 | Max pages to scrape (30/page): 5/10/20/50/100/769 | | `fetchDetails` | Checkbox | ✓ | Fetch detail pages for enriched data | | `minAward` | Select | — | Minimum award filter: $500-$25,000 | | `sortBy` | Select | none | Sort: none/award_high/award_low/deadline | ### Example Usage **Top 100 highest-value scholarships:** ```json { "maxResults": "100", "maxPages": "10", "fetchDetails": true, "sortBy": "award_high" } ```` **Engineering scholarships over $5,000:** ```json { "keyword": "engineering", "maxResults": "200", "maxPages": "20", "minAward": "5000", "fetchDetails": true } ``` **All scholarships sorted by deadline:** ```json { "maxResults": "500", "maxPages": "20", "sortBy": "deadline", "fetchDetails": false } ``` ### How It Works 1. **Browse**: Iterates through listing pages (30 scholarships/page) 2. **Parse**: Extracts basic fields (title, award, deadline, description, eligibility) 3. **Enrich** (optional): Visits each detail page for 13+ additional fields 4. **Filter**: Applies keyword and minimum award filters 5. **Sort**: Orders results by award amount or deadline 6. **Export**: Pushes structured data to Apify dataset ### Data Source - **CollegeScholarships.org** — One of the largest free scholarship databases - 23,000+ scholarships across all academic disciplines - Updated regularly with new opportunities - No registration or API key required ### Pricing $5 per 1,000 results. ### Why This Scraper? | Feature | This Scraper | Competitors | |---|---|---| | Fields | **23+** | 6-15 | | Detail enrichment | ✅ | ❌ Most | | Award min/max | ✅ | ❌ | | Sponsor info | ✅ | ❌ | | Keyword filter | ✅ | Some | | Sort by award | ✅ | ❌ | | Data source size | 23,000+ | 3,400-10,000 | # Actor input Schema ## `keyword` (type: `string`): Filter scholarships by keyword in title, description, or major (e.g., 'engineering', 'nursing', 'STEM'). Leave blank for all. ## `maxResults` (type: `string`): Maximum number of scholarships to return. ## `maxPages` (type: `string`): Maximum listing pages to scrape (30 results per page). ## `fetchDetails` (type: `boolean`): Visit each scholarship's detail page for enriched data (min/max award, ethnicity, GPA, sponsor, etc.). Slower but 20+ fields. ## `minAward` (type: `string`): Only include scholarships with award >= this value. ## `sortBy` (type: `string`): Sort order for results. ## Actor input object example ```json { "keyword": "", "maxResults": "100", "maxPages": "10", "fetchDetails": true, "minAward": "", "sortBy": "none" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keyword": "", "maxResults": "100", "maxPages": "10", "fetchDetails": true, "minAward": "", "sortBy": "none" }; // Run the Actor and wait for it to finish const run = await client.actor("commanding_hotdog/scholarship-finder-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "keyword": "", "maxResults": "100", "maxPages": "10", "fetchDetails": True, "minAward": "", "sortBy": "none", } # Run the Actor and wait for it to finish run = client.actor("commanding_hotdog/scholarship-finder-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 '{ "keyword": "", "maxResults": "100", "maxPages": "10", "fetchDetails": true, "minAward": "", "sortBy": "none" }' | apify call commanding_hotdog/scholarship-finder-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commanding_hotdog/scholarship-finder-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Scholarship Finder Scraper — 23,000+ US Scholarships, 23 Fields", "description": "Find 23,000+ US scholarships — awards, deadlines, eligibility, amounts. 23 fields. Keyword search, sort by award/deadline. Education financial aid research.", "version": "1.0", "x-build-id": "si3VouWNAiNYQIW9U" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commanding_hotdog~scholarship-finder-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commanding_hotdog-scholarship-finder-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commanding_hotdog~scholarship-finder-scraper/runs": { "post": { "operationId": "runs-sync-commanding_hotdog-scholarship-finder-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commanding_hotdog~scholarship-finder-scraper/run-sync": { "post": { "operationId": "run-sync-commanding_hotdog-scholarship-finder-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Search Keyword", "type": "string", "description": "Filter scholarships by keyword in title, description, or major (e.g., 'engineering', 'nursing', 'STEM'). Leave blank for all.", "default": "" }, "maxResults": { "title": "Maximum Results", "enum": [ "50", "100", "200", "500", "1000", "2000", "5000" ], "type": "string", "description": "Maximum number of scholarships to return.", "default": "100" }, "maxPages": { "title": "Max Pages to Scrape", "enum": [ "5", "10", "20", "50", "100", "769" ], "type": "string", "description": "Maximum listing pages to scrape (30 results per page).", "default": "10" }, "fetchDetails": { "title": "Fetch Detail Pages", "type": "boolean", "description": "Visit each scholarship's detail page for enriched data (min/max award, ethnicity, GPA, sponsor, etc.). Slower but 20+ fields.", "default": true }, "minAward": { "title": "Minimum Award Amount ($)", "enum": [ "", "500", "1000", "2500", "5000", "10000", "25000" ], "type": "string", "description": "Only include scholarships with award >= this value.", "default": "" }, "sortBy": { "title": "Sort Results By", "enum": [ "none", "award_high", "award_low", "deadline" ], "type": "string", "description": "Sort order for results.", "default": "none" } } }, "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 } } } } } } } } } } ```