# ScholarshipsAds Scraper (`dadhalfdev/scholarshipsads-scraper`) Actor

Scrape scholarships from scholarshipsads.com search. Use a keyword or paste a ScholarshipsAds URL — the URL wins when set.

- **URL**: https://apify.com/dadhalfdev/scholarshipsads-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Stats:** 2 total users, 1 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/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

## 🌍 ScholarshipsAds Scraper

Want [ScholarshipsAds](https://www.scholarshipsads.com/) listings in a spreadsheet? This scraper makes it easy.

Use **structured filters** — better for AI agents — **or** paste an **`input_url`**. When `input_url` is set it overrides the filters.

ScholarshipsAds lists about **12,000** scholarships worldwide. This actor returns up to 2000 rows per run.

### 💡 Perfect for...

- **Students:** Export titles, destinations, funding, and deadlines for a country or degree.
- **Dashboards:** Track new ScholarshipsAds hits without paging the site.
- **Market research:** Slice global scholarships by nationality, destination, degree, or funding.
- **Data analysts:** Export structured rows with public scholarship URLs.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live ScholarshipsAds results.
- **📚 RAG Systems:** Feed titles, universities, and summaries into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste a ScholarshipsAds search, or pick the same filters as the site. `input_url` always wins when set.
- 🎯 **Website-Matched Filters:** Keyword, nationality, destination, degree, subject, funding, days until deadline, and sort.
- 🌐 **Listing cards:** Title, university, country, degree, subjects, funding, eligibility, deadline, and summary.

### 📦 What's inside the data?

`id`, `url`, `title`, `university`, `country`, `degree`, `subjects`, `funding`, `eligibility`, `deadline`, `days_left`, `summary`, `image_url`

### 🚀 Quick start

**Option A:** paste `https://www.scholarshipsads.com/search/germany`.
**Option B:** pick a destination, degree, or funding type and set `max_results`.

**Input Example (filters):**

```json
{
  "degree": "masters",
  "funding": "fully-funded",
  "sort": "newest",
  "max_results": 100
}
```

**Input Example (URL):**

```json
{
  "input_url": "https://www.scholarshipsads.com/search/germany",
  "max_results": 100
}
```

**Output Example:**

```json
{
  "id": "reach-oxford-uk-scholarships-fully-funded",
  "url": "https://www.scholarshipsads.com/reach-oxford-uk-scholarships-fully-funded",
  "title": "Reach Oxford UK Scholarships (Fully Funded)",
  "university": "University of Oxford",
  "country": "UK",
  "degree": null,
  "subjects": "All Subjects",
  "funding": "Fully Funded",
  "eligibility": "International Students",
  "deadline": "26 Jan 2027",
  "days_left": 139,
  "summary": "The University of Oxford offers the Reach Oxford Scholarship, a prestigious opportunity designed for talented students from low-income countries who, due to fin…",
  "image_url": "https://www.scholarshipsads.com/files/Featured%20Images/UK/reach-oxford-uk-scholarships.png"
}
```

**Output fields:**

| Field | Description |
|-------|-------------|
| `id` | Scholarship page slug. |
| `url` | Public scholarship page. |
| `title` | Scholarship title. |
| `university` | Host university when shown. |
| `country` | Host country when shown. |
| `degree` | Degree level when shown. |
| `subjects` | Subject list when shown. |
| `funding` | Funding type when shown. |
| `eligibility` | Who can apply, when shown. |
| `deadline` | Application deadline when shown. |
| `days_left` | Days until the deadline when shown. |
| `summary` | Short listing summary. |
| `image_url` | Listing image when shown. |

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | ScholarshipsAds search or category URL. Overrides every filter. |
| `query` | string | No | — | Same as the site search box. |
| `nationality` | string enum | No | any | Who the scholarship is for. |
| `country` | string enum | No | any | Host country or region. |
| `degree` | string enum | No | any | Bachelor, master's, PhD, and other levels. |
| `subject` | string | No | — | Subject as listed on the site, such as Computer Science. |
| `funding` | string enum | No | any | Fully funded, partial funding, or full tuition. |
| `expire_min` | integer | No | — | Soonest deadline, in days from today (1–200). |
| `expire_max` | integer | No | — | Latest deadline, in days from today (1–200). |
| `sort` | string enum | No | relevance | Relevance, newest, deadline soon, or most viewed. |
| `max_results` | integer | No | `50` | Maximum rows (`1`–`2000`). |

# Actor input Schema

## `input_url` (type: `string`):

Paste a ScholarshipsAds search or category URL. Overrides every filter when set.

## `query` (type: `string`):

Same as the site search box. University, country, degree, subject, or nationality.

## `nationality` (type: `string`):

Who the scholarship is for, same list as the site nationality filter.

## `country` (type: `string`):

Host country or region, same list as the site destination filter.

## `degree` (type: `string`):

Degree level, same list as the site.

## `subject` (type: `string`):

Subject as listed on ScholarshipsAds, such as Computer Science or Law. Leave empty for all subjects.

## `funding` (type: `string`):

Fully funded, partial funding, or full tuition, same as the site.

## `expire_min` (type: `integer`):

Only scholarships whose deadline is at least this many days away (1–200).

## `expire_max` (type: `integer`):

Only scholarships whose deadline is within this many days (1–200).

## `sort` (type: `string`):

Relevance, newest, deadline soon, or most viewed.

## `max_results` (type: `integer`):

How many rows to return (1–2000).

## Actor input object example

```json
{
  "nationality": "",
  "country": "",
  "degree": "",
  "funding": "",
  "sort": "",
  "max_results": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view of scraped scholarships using the dataset 'overview' view.

## `results` (type: `string`):

All scraped scholarships from the default dataset without view transformation.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/scholarshipsads-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/scholarshipsads-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 '{}' |
apify call dadhalfdev/scholarshipsads-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/scholarshipsads-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/KhM76SV8CRAzSsOtv/builds/6WlH2GMLgRePjeoDW/openapi.json