# Bold Org Scholarship Database Scraper (`jungle_synthesizer/bold-org-scholarship-database-scraper`) Actor

Flagship scholarship target: enormous search demand (246k vol), near-empty

- **URL**: https://apify.com/jungle\_synthesizer/bold-org-scholarship-database-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Lead generation
- **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, 0 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Bold.org Scholarship Database Scraper

Scrape [Bold.org](https://bold.org/scholarships/) — one of the largest scholarship marketplaces — and export a structured database of scholarships with award amounts, application deadlines, eligibility, categories, and sponsor information.

### What it does

The actor fetches Bold.org's sitemap (~3,400 scholarship detail pages), visits each page, and extracts the embedded scholarship JSON payload. Each record includes:

- **scholarship\_name** — Full name of the scholarship
- **slug** — URL slug (unique identifier)
- **detail\_url** — Direct link to the scholarship page
- **award\_amount** — Award value (e.g. `$1,000`, `$25,000`)
- **application\_deadline** — Application deadline date or `Rolling`
- **education\_level** — Comma-separated list: `high school`, `undergraduate`, `graduate`
- **eligibility\_summary** — Education levels + selection criteria
- **field\_of\_study** — Academic field (e.g. `Nursing`, `Computer Science`)
- **sponsor\_organization** — Organization or individual funding the scholarship
- **no\_essay** — `true` if the scholarship requires no essay
- **description** — Full scholarship description
- **num\_applicants** — Number of applicants to date
- **category** — All category tags (semicolon-separated)

### Use cases

- Build scholarship search tools or aggregators
- Track scholarship availability and deadlines
- Lead generation for student services, edtech, and college-advising platforms
- Research scholarship landscape by field, state, or education level

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `maxItems` | integer | 10 | Maximum number of scholarships to scrape. Set to `0` for all (~3,400). |

### Output

Each record in the dataset represents one scholarship:

```json
{
  "scholarship_name": "Community Health Ambassador Scholarship for Nursing Students",
  "slug": "community-health-ambassador-scholarship-for-nursing-students",
  "detail_url": "https://bold.org/scholarships/community-health-ambassador-scholarship-for-nursing-students/",
  "award_amount": "$3,000",
  "application_deadline": "Jun 1, 2026",
  "education_level": "high school, undergraduate, graduate",
  "eligibility_summary": "high school, undergraduate, graduate | Ambition, Drive, Impact",
  "field_of_study": "Nursing",
  "sponsor_organization": "Live it Up",
  "no_essay": false,
  "description": "This scholarship seeks to lower the financial burden of college...",
  "num_applicants": 5236,
  "category": "Scholarships for High School Seniors; Scholarships for Women; Scholarships for Nursing Students; ..."
}
```

### Coverage

Bold.org publishes ~3,400 scholarship detail pages in their sitemap. The actor scrapes all of them in a full run. With `maxItems`, you can sample a subset for quick testing or targeted pulls.

### Technical notes

- No proxy required — Bold.org's scholarship pages are server-rendered (SSR) and accessible without residential IPs
- Extraction reads the embedded Next.js RSC JSON payload directly from the page, so no fragile CSS selectors
- Concurrency: 5 parallel requests with automatic rate-limit handling
- Memory: 512 MB is sufficient for full runs

# 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.

## `resumeCursor` (type: `string`):

Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs).

## `maxItems` (type: `integer`):

Maximum number of records to scrape

## 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
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/bold-org-scholarship-database-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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,
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/bold-org-scholarship-database-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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
}' |
apify call jungle_synthesizer/bold-org-scholarship-database-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jungle_synthesizer/bold-org-scholarship-database-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/8hPpmylD5yWBPlb51/builds/VNRJxIMfHspxbvQ50/openapi.json