# Scholarship Listings & Award Database — Unigo (`jungle_synthesizer/unigo-scholarship-match-scraper`) Actor

Extracts scholarship listings from Unigo's directory: name, award amount, deadline, sponsor, eligibility, and description across every category — by major, by state, athletic, military, merit-based, and more. No account required.

- **URL**: https://apify.com/jungle\_synthesizer/unigo-scholarship-match-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Lead generation, Education
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.40 / 1,000 record scrapeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Unigo Scholarship Listings & Award Data Scraper

Scrape scholarship listings from [Unigo](https://www.unigo.com/scholarships), a major US scholarship-match directory. Returns scholarship name, award amount, application deadline, sponsor, eligibility criteria, and full description across every published category — by major, by state, athletic, military, merit-based, and more.

***

### Unigo Scholarship Scraper Features

- Extracts 8 fields per scholarship, including sponsor and eligibility criteria most scrapers skip.
- Covers Unigo's full category tree — by major, by state, athletic, military, merit-based, religious, contests, and a dozen more.
- Filters to specific categories, or leave it blank and get everything.
- Deduplicates automatically. A scholarship cross-listed under two categories only ever costs you one row.
- Resumable on large runs — pick up exactly where a previous run stopped, at no extra charge for records you already have.

***

### Who Uses Unigo Scholarship Data?

- **Scholarship search platforms** — merge Unigo's catalog with your own listings to widen coverage for students.
- **Financial aid offices** — cross-reference award amounts and deadlines against what your own students are finding.
- **EdTech products** — feed structured scholarship data into a matching engine or recommendation tool.
- **Researchers and journalists** — analyze award sizes, sponsor types, and eligibility patterns across a major scholarship catalog.
- **Content and comparison sites** — build category pages (by major, by state, by grade level) without re-typing every listing by hand.

***

### How Unigo Scholarship Scraper Works

1. Pick which categories to scrape, or leave the field empty for all of them.
2. The scraper walks Unigo's category tree, then each scholarship's own listing page, then its detail page for the fields that only live there — sponsor, eligibility, full description.
3. Set `maxItems` and it stops there. Records land in your dataset as they're found, so you can start using them before the run finishes.

***

### Input

```json
{
  "maxItems": 500,
  "categories": ["athletic", "by-major"]
}
```

| Field          | Type    | Default   | Description |
|----------------|---------|-----------|-------------|
| `maxItems`     | Integer | 10        | Maximum number of scholarship records to save. Leave the run's default in place for a quick sample; raise it for a full pull. |
| `categories`   | Array   | *(all)*   | Which category buckets to crawl — by major, by state, athletic, military, merit-based, religious, and the rest of Unigo's published directory. Leave empty to crawl every category. |
| `resumeCursor` | String  | *(empty)* | Cursor from a previous run's Output. Leave empty for a fresh crawl. |

**Scrape everything:**

```json
{
  "maxItems": 5000
}
```

**Scrape one category (e.g. scholarships for military members):**

```json
{
  "maxItems": 200,
  "categories": ["military"]
}
```

***

### Unigo Scholarship Scraper Output Fields

```json
{
  "scholarship_name": "NCTA & AWMF Scholarship",
  "detail_url": "https://www.unigo.com/scholarships/weird/scholarships-for-being-short/ncta-awmf-scholarship",
  "award_amount": "$5,000",
  "deadline": "September 30, 2026",
  "eligibility": "Must be a female.; Must be a graduate or undergraduate student.; Must be a pursuing a degree in communications, media, or journalism.",
  "sponsor": "Alliance for Women in Media",
  "grade_level": "Undergraduate, Graduate",
  "description": "The winner will receive $5,000 towards tuition costs, payable in the Fall and the Spring semesters of the upcoming school year..."
}
```

| Field              | Type   | Description |
|--------------------|--------|-------------|
| `scholarship_name` | String | Scholarship name |
| `detail_url`       | String | Canonical URL of the scholarship's detail page on unigo.com |
| `award_amount`     | String | Award amount as published (a dollar figure, or a term like "Varies") |
| `deadline`         | String | Application deadline as published |
| `eligibility`      | String | Eligibility criteria, joined from the published qualification list (falls back to a summary like "Varies" when no list is published) |
| `sponsor`          | String | Organization or company that awards the scholarship |
| `grade_level`      | String | Student level the scholarship targets (e.g. "High School", "Undergraduate", "Graduate"), derived from its eligibility and description text — null when no level is stated |
| `description`      | String | Scholarship description as published |

***

### Resuming a large crawl

Every run emits a `resumeCursor` in its Output. If a large crawl stops before it finishes — because it hit `maxItems`, your spend cap (`maxTotalChargeUsd`), or was aborted — start a new run with **the same input** plus that `resumeCursor` to continue from where it left off. The crawl resumes from the queued work the previous run didn't reach.

- You are **not re-charged** for records the earlier run already delivered.
- Resume within your account's run-retention window — on the free tier, roughly your 10 most recent runs. Once the source run is pruned, its `resumeCursor` is no longer valid.
- `resumeCursor` is opaque — supply it unmodified.

***

### FAQ

#### How do I scrape Unigo scholarships?

Set `maxItems` and, optionally, `categories` — leave `categories` empty and the run covers Unigo's whole published directory. No account or login required.

#### What data can I get from Unigo?

Unigo Scholarship Scraper returns scholarship name, award amount, deadline, sponsor, eligibility criteria, grade level, and a full description for every listing it finds, plus the canonical URL of the scholarship's own page.

#### Can I filter by category?

Yes. Pass one or more category slugs (athletic, by-major, by-state, military, merit-based, and so on) in `categories`. Leave it empty and you get every category in one run.

#### Does the same scholarship ever appear twice?

No. Unigo cross-lists scholarships under multiple categories — a merit-based award might also show up under "by-major" — and the scraper dedupes across categories, so you're only charged once per scholarship.

#### How much does Unigo Scholarship Scraper cost to run?

Pricing follows Apify's pay-per-event model, billed per scholarship record saved. Check the Pricing tab on this actor's page for the current rate.

***

### Need More Features?

Need custom fields, filters, or a different target site? [File an issue](https://console.apify.com/actors/issues) or get in touch.

### Why Use Unigo Scholarship Scraper?

- **Fields most scrapers skip** — sponsor and eligibility criteria come from the scholarship's own detail page, not just the listing card.
- **Category coverage, not a slice** — the scraper reaches Unigo's whole published tree (by major, by state, athletic, military, and more), so a category filter is a convenience, not a limitation.
- **Deduplicated by design** — a scholarship listed under two categories is still one row in your dataset.

# Actor input Schema

## `sp_intended_usage` (type: `string`):

What will this data feed? E.g. lead lists, KYB checks, price tracking.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

We'll personally help with your use case. No spam.

## `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 scholarship records to save. Leave unset to run unbounded within the free-tier row quota.

## `categories` (type: `array`):

Which Unigo scholarship categories to crawl. Leave empty to crawl every category (by major, by state, athletic, military, merit-based, and the rest of Unigo's published directory).

## 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/unigo-scholarship-match-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/unigo-scholarship-match-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/unigo-scholarship-match-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jungle_synthesizer/unigo-scholarship-match-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/9od83spf7aFQg9dXH/builds/RK1aEKmNUQaIptMWG/openapi.json