# Education & Research Email Scraper - Low-cost💲🔥🎓📚 (`delectable_incubator/education-research-email-scraper-low-cost`) Actor

Scrape academic and research contacts 🔍📚 with a powerful education email scraper. Extract verified institutional emails, researcher names, titles, affiliations, research summaries, and more. Ideal for academic outreach, university research, lead generation, and education database enrichment

- **URL**: https://apify.com/delectable\_incubator/education-research-email-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Automation, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Education & Research Email Scraper" width="100%">
</p>

---

## Education & Research Email Scraper 🎓📧🔍

The Education & Research Email Scraper is a powerful and scalable Apify Actor designed to extract academic and educational contact emails along with structured profile information from research portals, scholarly networks, educational platforms, and university resources.

It enables academic outreach, researcher discovery, collaboration opportunities, EdTech marketing, educational lead generation, publication promotion, trend analysis, and structured academic dataset creation at scale.

---

### 🎯 What This Scraper Does

Simply provide a keyword, choose one or more academic platforms, optionally filter email domains, and the scraper handles everything automatically.

✅ Searches educational and research platforms by keyword

✅ Extracts academic and educational profiles

✅ Collects verified email addresses when available

✅ Supports email domain filtering

✅ Supports multiple research and educational platforms

✅ Extracts profile metadata and summaries

✅ Captures profile and publication URLs

✅ Applies max_items limits

✅ Generates clean and structured datasets

✅ Ready for outreach, analytics, and research workflows

✅ Export-ready output format

---

### 📊 Data Extracted

#### 🎓 Academic Profile Information

| Field            | Description                                    |
| ---------------- | ---------------------------------------------- |
| 📄 title         | Profile, article, paper, or course title       |
| 🔗 url           | Direct profile or publication URL              |
| 📝 snippet       | Bio, abstract, summary, or profile description |
| 📧 email         | Extracted email address                        |
| 🌐 email_domain  | Email domain portion                           |
| 🏛️ platform     | Source platform                                |
| 🔍 displayed_url | Display version of the source URL              |

---

### 🛠 How to Use

#### 1️⃣ Configure Input

Provide a keyword and configure your extraction settings.

````

{
"keyword": "climate change",
"domain\_emails": \[
"@gmail.com",
"@harvard.edu"
],
"max\_items": 30,
"platform": "ResearchGate"
}

```

#### 2️⃣ Run the Actor

• Searches selected academic platforms

• Discovers relevant profiles and publications

• Extracts available email addresses

• Collects profile metadata

• Applies email domain filters

• Stops automatically when limits are reached

#### 3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

---

### ⚙️ Input Configuration

#### 📥 Input Example

```

{
"keyword": "climate change",
"domain\_emails": \[
"@gmail.com",
"@harvard.edu"
],
"max\_items": 30,
"platform": "ResearchGate"
}

```

#### Input Fields

| Field         | Type    | Description                          |
| ------------- | ------- | ------------------------------------ |
| keyword       | string  | Topic, subject, or search term       |
| domain_emails | array   | Optional email domain filters        |
| max_items     | integer | Maximum number of results to collect |
| platform      | string  | Platform to search and extract from  |

---

### 📤 Output Example

```

{
"title": "Climate Change and Atmospheric Science",
"url": "https://www.researchgate.net/profile/dr-sophie-green",
"snippet": "Dr. Green specializes in environmental modeling and policy analysis...",
"email": "sophie.green@oxford.edu",
"email\_domain": "oxford.edu",
"platform": "researchgate.net",
"displayed\_url": "researchgate.net/profile/dr-sophie-green"
}

````

---

### 📊 Output Explanation

| Use Case                  | Description                                     |
| ------------------------- | ----------------------------------------------- |
| 📬 Academic Outreach      | Contact researchers, professors, and authors    |
| 🤝 Research Collaboration | Discover potential collaborators                |
| 📢 Educational Marketing  | Promote EdTech tools, journals, and conferences |
| 📈 Lead Generation        | Build targeted academic contact lists           |
| 📚 Research Analysis      | Study research trends and topics                |
| 🤖 Automation Pipelines   | Feed academic data into workflows               |

---

### 🌍 Supported Platforms

#### 📚 Research & Scholarly Networks

• ResearchGate

• Google Scholar

• Academia.edu

• Semantic Scholar

• Mendeley

• arXiv

• SpringerLink

• IEEE Xplore

• Elsevier

• ORCID

• SSRN

#### 🎓 Online Education Platforms

• Coursera

• EdX

• Khan Academy

• OpenLearn

• MIT OpenCourseWare

#### 🏛️ Universities & Institutional Repositories

• Harvard University

• Stanford University

• Oxford University

• Cambridge University

• ScholarWorks Repositories

---

### 🌍 Why Use This Scraper?

📧 Discover academic contact emails

🎓 Find professors, researchers, and educators

📚 Build research-ready datasets

📈 Analyze academic trends and publications

🤝 Identify collaboration opportunities

📢 Support conference and journal promotion

⚡ Fast and automated extraction

🤖 Automation-ready output

📦 Structured and clean datasets

🧠 Ideal for universities, EdTech companies, publishers, recruiters, and research organizations

🚀 Scalable for both small and enterprise workloads

---

### ❓ FAQ

#### How does this scraper work?

The scraper searches academic and educational platforms using your keyword and extracts publicly available profile information, metadata, and email addresses when available.

#### Can I filter by email domains?

Yes. You can provide one or multiple email domains such as @mit.edu or @gmail.com.

#### Which platforms are supported?

Research networks, educational platforms, university websites, and institutional repositories are supported.

#### Does the scraper collect profile URLs?

Yes. Direct profile, article, publication, or course URLs are collected whenever available.

#### Can I monitor academic topics over time?

Yes. You can schedule recurring Apify runs to track researchers and publications.

#### Is the data collected live?

Yes. Data is extracted directly from the selected platforms during every run.

#### What export formats are supported?

JSON, CSV, Excel, XML, and HTML.

#### Can I use the data commercially?

Yes. The extracted data can be used for research, outreach, analytics, automation, and business applications, subject to applicable laws and platform terms.

#### What happens if the scraper fails?

The Actor includes retry mechanisms and automated error handling to improve reliability.

#### How long does a run take?

Most runs complete within minutes depending on the selected platform and requested result volume.

---

### 🚀 How to Use

1️⃣ Sign up — Create a free Apify account

2️⃣ Find the tool — Search for "Education & Research Email Scraper" in the Apify Store

3️⃣ Configure your keyword and filters

4️⃣ Run the Actor

5️⃣ Export your data in JSON, CSV, Excel, XML, or HTML

---

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by any university, educational institution, publisher, research platform, or scholarly network referenced within this Actor.

---

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $9.99 / 1000 results

---

### Related Actors

If you're interested in other Education, Research, Lead Generation, Social Media, Recruitment, Analytics, or Data Extraction solutions, explore more PrimeScrape tools.

(Additional related actors coming soon)

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool.

---

### 🌍 PrimeScrape

Built for scalable web data extraction & automation.

Contact us for custom scraping solutions, enterprise integrations, or dedicated data collection projects via Apify or email.

# Actor input Schema

## `KEYWORD` (type: `string`):

Academic title, research topic, or educational field to search for
## `DOMAIN_EMAIL` (type: `array`):

List of email domains to search for (e.g. .edu, .ac.uk, etc.)
## `PLATFORM` (type: `string`):

Academic or educational platform to search on
## `MAX_ITEMS` (type: `integer`):

Maximum number of items to extract

## Actor input object example

```json
{
  "KEYWORD": "ML",
  "DOMAIN_EMAIL": [
    "@gmail.com"
  ],
  "PLATFORM": "ResearchGate",
  "MAX_ITEMS": 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 = {
    "KEYWORD": "ML",
    "DOMAIN_EMAIL": [
        "@gmail.com"
    ],
    "PLATFORM": "ResearchGate",
    "MAX_ITEMS": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/education-research-email-scraper-low-cost").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 = {
    "KEYWORD": "ML",
    "DOMAIN_EMAIL": ["@gmail.com"],
    "PLATFORM": "ResearchGate",
    "MAX_ITEMS": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/education-research-email-scraper-low-cost").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": "ML",
  "DOMAIN_EMAIL": [
    "@gmail.com"
  ],
  "PLATFORM": "ResearchGate",
  "MAX_ITEMS": 10
}' |
apify call delectable_incubator/education-research-email-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/education-research-email-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Education & Research Email Scraper - Low-cost💲🔥🎓📚",
        "description": "Scrape academic and research contacts 🔍📚 with a powerful education email scraper. Extract verified institutional emails, researcher names, titles, affiliations, research summaries, and more. Ideal for academic outreach, university research, lead generation, and education database enrichment",
        "version": "0.0",
        "x-build-id": "AW1XZGAahe6PY8wYy"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~education-research-email-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-education-research-email-scraper-low-cost",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~education-research-email-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-education-research-email-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~education-research-email-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-education-research-email-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "KEYWORD",
                    "DOMAIN_EMAIL",
                    "PLATFORM",
                    "MAX_ITEMS"
                ],
                "properties": {
                    "KEYWORD": {
                        "title": "Keyword",
                        "type": "string",
                        "description": "Academic title, research topic, or educational field to search for",
                        "default": "ML"
                    },
                    "DOMAIN_EMAIL": {
                        "title": "Email Domains",
                        "type": "array",
                        "description": "List of email domains to search for (e.g. .edu, .ac.uk, etc.)",
                        "default": [
                            "@gmail.com"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "PLATFORM": {
                        "title": "Platform",
                        "enum": [
                            "ResearchGate",
                            "GoogleScholar",
                            "Academia",
                            "SemanticScholar",
                            "Mendeley",
                            "arXiv",
                            "SpringerLink",
                            "IEEE",
                            "Elsevier",
                            "ORCID",
                            "SSRN",
                            "EdX",
                            "Coursera",
                            "KhanAcademy",
                            "OpenLearn",
                            "MITOpenCourseware",
                            "Harvard",
                            "Stanford",
                            "Oxford",
                            "Cambridge",
                            "ScholarWorks"
                        ],
                        "type": "string",
                        "description": "Academic or educational platform to search on",
                        "default": "ResearchGate"
                    },
                    "MAX_ITEMS": {
                        "title": "Max Items",
                        "type": "integer",
                        "description": "Maximum number of items to extract",
                        "default": 10
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```