# Scholar Citations API — Academic Works & Author Profiles (`galih_rakasiwi/scholarly-api`) Actor

Academic works, authors and citation counts as clean JSON via OpenAlex: search 250M+ papers, look up by DOI, get author h-index and top cited works. Keyless official API — no CAPTCHA, no Google Scholar blocks.

- **URL**: https://apify.com/galih_rakasiwi/scholarly-api.md
- **Developed by:** [RD.Galih Rakasiwi](https://apify.com/galih_rakasiwi) (community)
- **Categories:** AI, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 api requests

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/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

## Scholar Citations API — Academic Works & Author Profiles

Academic works, authors and citation counts as **clean JSON** — built on
OpenAlex, the keyless official API for 250M+ scholarly records. No CAPTCHA,
no Google Scholar blocks.

### Endpoints

| Method | Path | Description |
|---|---|---|
| GET | `/search?q=...` | Search works, sorted by citations |
| GET | `/work/{doi}` | One work by DOI |
| GET | `/authors/search?q=...` | Author search with h-index |
| GET | `/author/{openalex_id}` | Author profile + top cited works |
| GET | `/health` | Liveness probe |

```bash
curl "https://<container-url>/search?q=reinforcement+learning"
curl "https://<container-url>/work/10.7717/peerj.4375"
curl "https://<container-url>/authors/search?q=geoffrey+hinton"
curl "https://<container-url>/author/A5108093963"
```

### Output

```json
{
  "query": "reinforcement learning",
  "count": 20,
  "results": [
    {
      "title": "Reinforcement Learning",
      "doi": "https://doi.org/10.1007/978-3-642-27645-3",
      "year": 2012,
      "citedBy": 829,
      "venue": "Adaptation, learning, and optimization",
      "openAccessUrl": null,
      "authors": [{"name": "Marco Wiering", "openalexId": "https://openalex.org/A..."}]
    }
  ]
}
```

Author profiles include `hIndex`, `i10Index`, `citedBy`, `worksCount` and
top-20 works by citations.

### Notes

- Built on the official OpenAlex API — keyless, stable, no anti-bot (see
  [RE.md](RE.md) for the proven recipe).
- Pay per request; health checks are free.

### Related searches

google scholar api, academic search api, citations api, research paper api,
scholarly data, h-index api, openalex api

### Local development

```bash
pip install -r requirements.txt
uvicorn src.main:app --reload
```

# Actor input Schema

## `port` (type: `integer`):

Port the API server listens on.

## Actor input object example

```json
{
  "port": 8000
}
```

# Actor output Schema

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

No description

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

No description

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

No description

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

No description

## `runConsole` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("galih_rakasiwi/scholarly-api").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("galih_rakasiwi/scholarly-api").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 galih_rakasiwi/scholarly-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,galih_rakasiwi/scholarly-api"
        }
    }
}
```

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/up4Q0MQ4H1TbydE6A/builds/wryKQxpBIR4rVy4hl/openapi.json