# Academia.edu Scraper (`dadhalfdev/academia-edu-scraper`) Actor

Scrape public papers from academia.edu. Use the same paper search filters as the site (keyword, titles or full text, publication type, language, year, sort) or paste a URL — the URL wins when set.

- **URL**: https://apify.com/dadhalfdev/academia-edu-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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?

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

## Academia.edu Scraper

Want public [Academia.edu](https://www.academia.edu/) papers 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.

Academia.edu hosts public papers, books, and conference papers. This actor returns up to 2000 paper rows per run.

### 💡 Perfect for...

- **Research:** Export public papers on a topic from Academia.edu.
- **Dashboards:** Track a keyword without paging the site.
- **Literature reviews:** Slice papers by type, language, or year.
- **Data analysts:** Export structured rows with public paper URLs.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Academia.edu results.
- **📚 RAG Systems:** Feed titles, authors, and abstracts into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste an Academia.edu paper search URL, or pick the same filters as the site. `input_url` always wins when set.
- 🎯 **Website-Matched Filters:** Keyword, titles or full text, publication type, language, year, and sort — the same controls as the paper search.
- 🌐 **Listing cards:** Title, authors, year, abstract, publication, field of study, and author photo.

### 📦 What's inside the data?

`id`, `url`, `title`, `authors`, `year`, `abstract`, `publication`, `field_of_study`, `document_type`, `language`, `pages`, `image`

### 🚀 Quick start

**Option A:** paste `https://www.academia.edu/search?q=education`.
**Option B:** type a keyword and set `max_results`.

**Input Example (filters):**

```json
{
  "query": "education",
  "search_in": "titles",
  "publication_type": "journal-article",
  "year_from": 2020,
  "sort_by": "relevance",
  "max_results": 100
}
```

**Input Example (URL):**

```json
{
  "input_url": "https://www.academia.edu/search?q=education",
  "max_results": 100
}
```

**Output Example:**

```json
{
  "id": "117874244",
  "url": "https://www.academia.edu/117874244/Education_Education_Education_2004",
  "title": "Education Education Education 2004",
  "authors": "Richard Wilcocks",
  "year": 2005,
  "abstract": "I am sharing this session with Andrew McCarthy…",
  "publication": "The Brontës and Education",
  "field_of_study": "Literacy; English Literature",
  "document_type": "talk",
  "language": "en",
  "pages": 9,
  "image": "https://2.academia-photos.com/54831564/14690253/143516875/s65_richard.wilcocks.jpg"
}
```

**Output fields:**

| Field | Description |
|-------|-------------|
| `id` | Paper id. |
| `url` | Public paper page. |
| `title` | Paper title. |
| `authors` | Authors when shown. |
| `year` | Publication year. |
| `abstract` | Abstract snippet. |
| `publication` | Journal or book name when shown. |
| `field_of_study` | Research interests on the card. |
| `document_type` | Paper type when shown. |
| `language` | Language code when shown. |
| `pages` | Page count when shown. |
| `image` | Author photo or preview when shown. |

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | Academia.edu paper search URL. Overrides every filter. |
| `query` | string | No | `education` | Same as the search box. |
| `search_in` | dropdown | No | Titles | Titles or full text. |
| `publication_type` | dropdown | No | any | Journal article, book, conference paper, or other. |
| `language` | dropdown | No | any | Paper language. |
| `year_from` | integer | No | — | Earliest publication year. |
| `year_to` | integer | No | — | Latest publication year. |
| `sort_by` | dropdown | No | Relevance | Relevance, date, recently added, most cited, or year. |
| `max_results` | integer | No | `50` | Maximum rows (`1`–`2000`). |

# Actor input Schema

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

Paste an Academia.edu paper search URL. Overrides every filter when set.

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

Same as the Academia.edu search box.

## `search_in` (type: `string`):

Titles or the full text of the paper, same as the Academia.edu paper search.

## `publication_type` (type: `string`):

Journal article, book, conference paper, or other.

## `language` (type: `string`):

Paper language.

## `year_from` (type: `integer`):

Earliest publication year.

## `year_to` (type: `integer`):

Latest publication year.

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

Same sort choices as the paper search.

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

Maximum rows to return (1–2000).

## Actor input object example

```json
{
  "query": "education",
  "search_in": "titles",
  "publication_type": "",
  "language": "",
  "sort_by": "relevance",
  "max_results": 50
}
```

# Actor output Schema

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

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

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

All scraped papers 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/academia-edu-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/academia-edu-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/academia-edu-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/academia-edu-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/ZBub5Vrv5wDtZZVar/builds/0Kl5IWpJqnaHE5KU7/openapi.json