# Scholarly Works Scraper — OpenAlex Research Papers (`thriftykiwi/scholarly-works-scraper`) Actor

Search 250M+ scholarly works from OpenAlex: titles, authors, citations, DOI, open access status, journals. Free API, no API key required. JSON output.

- **URL**: https://apify.com/thriftykiwi/scholarly-works-scraper.md
- **Developed by:** [Thrifty Kiwi](https://apify.com/thriftykiwi) (community)
- **Categories:** AI, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 result items

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/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

## Scholarly Works Scraper

Searches 250M+ scholarly research works from OpenAlex. Returns titles, authors, citation counts, DOIs, open-access status, and journal sources.

No API key required — OpenAlex is a free scholarly database.

### Modes

- search — works by research topic
- work — single work by DOI

### Input

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `query` | string | `climate change` | Research topic |
| `perPage` | integer | `20` | Max results |
| `doi` | string | `—` | DOI for work mode |

### Example input

```json
{"mode": "search", "query": "quantum computing"}
```

### Output

Structured JSON pushed to the run's dataset — one object per result. Errors (invalid input, API failures, empty results) are returned as structured `error` objects instead of failing the run.

### Use cases

- Literature reviews
- Research analytics
- Citation tracking
- Academic marketing

### Cost

Pay-per-result: **$0.001 per result item** (volume discounts available). Free to try — runs are billed only for results produced.

# Actor input Schema

## `mode` (type: `string`):

search = keyword query; work = fetch one work by DOI.

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

Research topic (mode=search).

## `perPage` (type: `integer`):

Maximum works to output.

## `doi` (type: `string`):

Digital Object Identifier, e.g. 10.1038/nature14539 (mode=work).

## Actor input object example

```json
{
  "mode": "search",
  "query": "climate change",
  "perPage": 20
}
```

# Actor output Schema

## `id` (type: `string`):

No description

## `doi` (type: `string`):

No description

## `title` (type: `string`):

No description

## `display_name` (type: `string`):

No description

## `publication_year` (type: `string`):

No description

## `publication_date` (type: `string`):

No description

## `authors` (type: `string`):

No description

## `cited_by_count` (type: `string`):

No description

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

No description

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

No description

## `source` (type: `string`):

No description

## `publisher` (type: `string`):

No description

## `open_access` (type: `string`):

No description

## `is_oa` (type: `string`):

No description

## `pdf_url` (type: `string`):

No description

## `topics` (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 = {
    "mode": "search",
    "query": "climate change",
    "perPage": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thriftykiwi/scholarly-works-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 = {
    "mode": "search",
    "query": "climate change",
    "perPage": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thriftykiwi/scholarly-works-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 '{
  "mode": "search",
  "query": "climate change",
  "perPage": 20
}' |
apify call thriftykiwi/scholarly-works-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thriftykiwi/scholarly-works-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/UueGNOiylDRWSA9j1/builds/m44FUkGu8BqSLxt0P/openapi.json