# Erasmus+ Projects Scraper (`dadhalfdev/erasmus-plus-projects-scraper`) Actor

Scrape Erasmus+ project results from the EU platform. Use filters (keywords, country, call year, good practice) or paste a search/details URL — returns grant, dates, topics, coordinator, and partners.

- **URL**: https://apify.com/dadhalfdev/erasmus-plus-projects-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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 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

## 🇪🇺 Erasmus+ Projects Scraper

Want funded project results from the [Erasmus+ Project Results Platform](https://erasmus-plus.ec.europa.eu/projects/search?page=1\&domain=eplus2021\&view=list\&map=false\&searchType=projects) without clicking through pages? This scraper makes it easy.

Use **structured filters** (keywords, coordinator/partner country, call year, good practice) — better for AI agents — **or** paste an **`input_url`**. Either way, you get clean CSV/JSON with titles, EU grants, dates, topics, coordinators, and partners.

### 💡 Perfect for...

- **Researchers & NGOs:** Find projects by topic, country, or call year.
- **National agencies:** Monitor good-practice projects and grant amounts.
- **Market / policy analysis:** Track Erasmus+, Solidarity Corps, or Creative Europe results.
- **🤖 AI Agents:** Power bots and OpenClaw workflows with live project search.
- **📚 RAG Systems:** Feed titles, descriptions, and objectives 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 search or project details URL (`input_url`), or use structured filters (better for AI agents).
- 🎯 **Website-Matched Filters:** Keywords, programme, status (ongoing/completed), field (SCH/VET/YOU/…), topic, action type, organisation type, coordinator/partner country, call year, and good-practice flag.
- 💶 **Rich project fields:** EU grant, action type, topics, coordinator PIC/city, partner list, and key description sections.
- 🇪🇺 **Multi-programme:** Erasmus+ 2021–2027, European Solidarity Corps, and Creative Europe.

### 📦 What's inside the data?

For every project, you will get:

- **Core:** `id`, `url`, `code`, `title`, `description`, `objectives`, `background`, `implementation`, `results_text`
- **Funding / status:** `eu_grant`, `currency`, `call_year`, `status`, `good_practice`, `success_story`
- **Timeline:** `start_date`, `end_date`, `published_at`, `updated_at`
- **Classification:** `programme`, `domain`, `field`, `field_label`, `action_type`, `action_type_code`, `action_detail`, `topics`, `topic_codes`, `countries`
- **Organisations:** `coordinator_name`, `coordinator_country`, `coordinator_city`, `coordinator_pic`, `coordinator_type`, `coordinator_type_label`, `coordinator`, `partners`, `partner_count`
- **Links:** `website`

### 🚀 Quick start

**Option A — Filters**

1. Set keywords (e.g. `climate` or a project code).
2. Optionally pick coordinator country, call year, or good practice only.
3. Set `max_projects` and click **Start**.

**Option B — Input URL**

1. Open the [project search](https://erasmus-plus.ec.europa.eu/projects/search?page=1\&domain=eplus2021\&view=list\&map=false\&searchType=projects) or a project details page.
2. Paste the URL into `input_url`.
3. Start the run.

Export CSV, Excel, or JSON when done.

***

#### Tech details for developers 🧑‍💻

**Input Example (filters):**

```json
{
  "keywords": "climate",
  "domain": "eplus2021",
  "status": "completed",
  "field": "31047627",
  "topic": "31047495",
  "organisation_type": "31045415",
  "organisation_role": "COORDINATOR",
  "coordinator_country": "DE",
  "call_year": "2023",
  "good_practice_only": false,
  "max_projects": 100
}
```

**Input Example (project URL):**

```json
{
  "input_url": "https://erasmus-plus.ec.europa.eu/projects/search/details/b0641a53-ffd9-4721-a8b3-1d8e23d92855"
}
```

**Output Example:**

```json
{
  "id": "b0641a53-ffd9-4721-a8b3-1d8e23d92855",
  "url": "https://erasmus-plus.ec.europa.eu/projects/search/details/b0641a53-ffd9-4721-a8b3-1d8e23d92855",
  "code": "2022-1-DE03-KA122-SCH-000075335",
  "title": "Go Green, Go Europe - Nachhaltigkeit im Schulalltag leben",
  "eu_grant": 25271.0,
  "call_year": "2022",
  "status": "finalized",
  "coordinator_name": "Franziskanergymnasium  Kreuzburg gGmbh",
  "coordinator_country": "DE",
  "topics": ["Environment and climate change", "Green skills", "Key competences development"],
  "source": "erasmus-plus"
}
```

# Actor input Schema

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

Optional. Paste a project search URL or a project details URL (.../projects/search/details/{id}). A details URL scrapes that single project; a search URL can supply domain/keywords.

## `keywords` (type: `string`):

Search text (topic, title, organisation, project code, etc.).

## `domain` (type: `string`):

Which project results catalogue to search.

## `status` (type: `string`):

Project status filter (platform facets: Ongoing / Completed).

## `field` (type: `string`):

Education / youth / sport field (SCH, VET, YOU, HED, ADU, SPO).

## `topic` (type: `string`):

Project topic (platform topic codes). Duplicate labels are disambiguated with the code.

## `action_type` (type: `string`):

Key Action / Jean Monnet / Sport (platform level-2 action).

## `organisation_type` (type: `string`):

Filter by organisation type (applies with Organisation role below).

## `organisation_role` (type: `string`):

Whether country / organisation-type filters apply to coordinator, partner, or either.

## `coordinator_country` (type: `string`):

Filter by coordinating organisation country (ISO code).

## `partner_country` (type: `string`):

Filter by partner organisation country (ISO code).

## `call_year` (type: `string`):

Filter by project call year.

## `good_practice_only` (type: `boolean`):

Only return projects marked as good practice.

## `sort_by` (type: `string`):

Result order.

## `max_projects` (type: `integer`):

How many projects to return (1–2000).

## Actor input object example

```json
{
  "keywords": "climate",
  "domain": "eplus2021",
  "status": "",
  "field": "",
  "topic": "",
  "action_type": "",
  "organisation_type": "",
  "organisation_role": "COORDINATOR_OR_PARTNER",
  "coordinator_country": "",
  "partner_country": "",
  "call_year": "",
  "good_practice_only": false,
  "sort_by": "",
  "max_projects": 50
}
```

# Actor output Schema

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

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

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

All scraped projects 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 = {
    "keywords": "climate"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/erasmus-plus-projects-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 = { "keywords": "climate" }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/erasmus-plus-projects-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/yQRfHkwAQFQoeppaP/builds/T3tAcRDv9LUHhgZgq/openapi.json