# Google Scholar Article Scraper (`agenscrape/google-scholar-article-scraper`) Actor

Extract academic articles, citations, authors, and publication data from Google Scholar. Perfect for research analysis and literature reviews with fast, reliable scraping.

- **URL**: https://apify.com/agenscrape/google-scholar-article-scraper.md
- **Developed by:** [Agenscrape](https://apify.com/agenscrape) (community)
- **Categories:** Lead generation, News, Automation
- **Features:** Limited permissions
- **Stats:** 26 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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.

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

## Google Scholar Article Scraper

Extract academic articles, citations, authors, and publication data from Google Scholar instantly. Perfect for research analysis, literature reviews, and academic data collection.

### Features

✅ **Fast & Reliable** - Get results in minutes, not hours
✅ **Complete Data** - Extract titles, authors, citations, publication info, and more
✅ **Flexible Search** - Search by any keyword or phrase
✅ **Multi-language** - Support for all Google Scholar languages
✅ **Citation Counts** - Get citation metrics for each article
✅ **PDF Links** - Direct links to PDF versions when available

### What Data Can You Extract?

For each article, you'll get:

- **Title** - Full article title
- **Authors** - Author names and affiliations
- **Publication** - Journal, conference, or publisher name
- **Year** - Publication year
- **Abstract/Snippet** - Article description or summary
- **Link** - Direct link to the article
- **PDF Link** - Link to PDF version (if available)
- **Citations** - Number of times cited
- **Related Articles** - Link to related research
- **Versions** - Number of different versions available

### How to Use

#### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| **keyword** | String | Yes | Search term or phrase | "machine learning" |
| **language** | String | No | Language code (default: en) | "en" |
| **maxResults** | Number | No | Maximum articles to extract (default: 20) | 50 |

#### Quick Start

1. Enter your search keyword (e.g., "climate change")
2. Set language (optional, defaults to English)
3. Choose how many results you want (1-1000)
4. Click **Start** and get your data!

#### Example Input

```json
{
  "keyword": "artificial intelligence",
  "language": "en",
  "maxResults": 50
}
```

### Output Format

Results are provided in JSON format with structured data for each article:

```json
{
  "position": 1,
  "title": "Attention Is All You Need",
  "authors": "A Vaswani, N Shazeer, N Parmar",
  "publication": "Advances in neural information processing systems",
  "year": "2017",
  "snippet": "The dominant sequence transduction models are based on complex recurrent...",
  "link": "https://arxiv.org/abs/1706.03762",
  "pdfLink": "https://arxiv.org/pdf/1706.03762",
  "citedBy": 95847,
  "versions": 15,
  "relatedArticlesLink": "/scholar?q=related:...",
  "scrapedAt": "2024-01-15T10:30:00.000Z"
}
```

### Use Cases

📚 **Academic Research** - Build comprehensive literature reviews
📊 **Citation Analysis** - Track research impact and trends
🔬 **Trend Analysis** - Monitor emerging topics in your field
📖 **Bibliography Building** - Create reference lists quickly
🎓 **Meta-Analysis** - Collect data for systematic reviews

### Tips for Best Results

- Use specific keywords for more relevant results
- Try different search terms to capture all relevant research
- Increase maxResults for comprehensive coverage
- Use quotes for exact phrase matching (e.g., "deep learning")

### Output Formats

Data can be exported in multiple formats:

- **JSON** - Structured data format
- **CSV** - Spreadsheet compatible
- **Excel** - Ready for analysis
- **HTML** - Web-friendly format

***

**Ready to extract academic data?** Start your research collection now!

# Actor input Schema

## `keyword` (type: `string`):

The keyword or phrase to search for on Google Scholar

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

Language code for search results (e.g., 'en' for English)

## `maxResults` (type: `integer`):

Maximum number of articles to scrape

## Actor input object example

```json
{
  "keyword": "artificial intelligence",
  "language": "en",
  "maxResults": 20
}
```

# 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": "artificial intelligence",
    "language": "en",
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("agenscrape/google-scholar-article-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 = {
    "keyword": "artificial intelligence",
    "language": "en",
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("agenscrape/google-scholar-article-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 '{
  "keyword": "artificial intelligence",
  "language": "en",
  "maxResults": 20
}' |
apify call agenscrape/google-scholar-article-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,agenscrape/google-scholar-article-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/HgvuN5gxiDodvIZkF/builds/92EUGzH64mgX0zFHi/openapi.json