# Indonesia Researcher Index Scraper (SINTA) (`fanndev/sinta-researcher-scraper`) Actor

Extract Indonesian researcher and institution records from SINTA, the national Science and Technology Index: national SINTA scores, Scopus / Web of Science / Google Scholar metrics, affiliation, department and subject areas. 335,000+ researchers, 5,500+ affiliations.

- **URL**: https://apify.com/fanndev/sinta-researcher-scraper.md
- **Developed by:** [Faisal Ahdan naufal](https://apify.com/fanndev) (community)
- **Categories:** Education, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

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

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## Indonesia Researcher Index Scraper (SINTA)

Extract researcher and institution records from **SINTA** — Indonesia's national Science and Technology Index, run by the Ministry of Higher Education, Science and Technology. No account, login, or API key needed.

### Why use this actor

- **335,000+ researchers and 5,500+ institutions** in one structured dataset
- **The national scores you cannot get anywhere else** — SINTA Score Overall and 3-year, plus each researcher's affiliation score. These are Indonesia's own ranking metrics, not derived from Google Scholar
- **Three citation sources side by side** — Scopus, Google Scholar and Web of Science article counts, citations, cited documents, H-index, i10-index and G-index on a single record
- **Joinable identifiers** — every researcher carries a SINTA ID, their affiliation ID, and their **Google Scholar user ID**, so records link cleanly to Scholar and to institution records
- **Affiliation and department attached** to each researcher — useful for university benchmarking, recruitment and research-collaboration mapping
- **Honest counters** — every record reports how many records exist upstream for your scope, so you always know what a capped run left behind
- Stable JSON output with automatic retries — no scrapers or browsers to babysit

### How it works

Pick a `mode`:

1. **`authors`** — walk or search the national researcher index (ranked by SINTA score). Turn on `enrichProfiles` to also fetch each researcher's full profile.
2. **`author`** — a full researcher profile by SINTA ID, including the complete publication-metrics table.
3. **`affiliations`** — the institution index with aggregate scores.

### Input

**Search researchers by name:**

```json
{
  "mode": "authors",
  "query": "zainul",
  "maxItems": 100,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

**Top 500 researchers nationally, with full metrics:**

```json
{
  "mode": "authors",
  "maxItems": 500,
  "enrichProfiles": true,
  "maxConcurrency": 4
}
```

**One researcher:**

```json
{
  "mode": "author",
  "sintaId": "5980682"
}
```

| Field | Type | Description |
|---|---|---|
| `mode` | string | `authors`, `author`, or `affiliations`. |
| `query` | string | `authors`: free-text name search. Blank walks the whole index. |
| `enrichProfiles` | boolean | Also fetch each listed researcher's full profile. |
| `sintaId` / `sintaIds` | string / array | `author` mode: numeric ID or profile address. |
| `maxItems` | integer | Records to collect (10 per page, followed automatically). |
| `maxConcurrency` | integer | Profiles fetched in parallel (default 4). |
| `proxyConfiguration` | object | Apify Proxy settings; Residential on by default. |

### Output

**`authors` mode** — real output:

```json
{
  "_input": "authors:*",
  "_source": "S1-html",
  "_scrapedAt": "2026-09-08T07:03:51Z",
  "recordType": "AUTHOR_CARD",
  "sintaId": "5980682",
  "name": "RAHADIAN ZAINUL",
  "profileUrl": "https://sinta.kemdiktisaintek.go.id/authors/profile/5980682",
  "googleScholarId": "1sohgHgAAAAJ",
  "affiliation": "Universitas Negeri Padang",
  "affiliationId": "497",
  "department": "Pendidikan Kimia (S2)",
  "subjects": ["Chemistry", "Bioinformatics", "Computational Chemistry", "Information Technology", "Technology in Education"],
  "sintaScoreOverall": 12748,
  "sintaScore3Yr": 2716,
  "scopusHIndex": 26,
  "wosHIndex": 13,
  "googleHIndex": 0,
  "_totalRecordsAvailable": 335592
}
```

**`author` mode** — real output, publication table truncated:

```json
{
  "recordType": "AUTHOR_PROFILE",
  "sintaId": "5980682",
  "name": "RAHADIAN ZAINUL",
  "affiliation": "Universitas Negeri Padang",
  "department": "S2 - Pendidikan Kimia",
  "sintaScoreOverall": 12748,
  "sintaScore3Yr": 2716,
  "affilScore": 16008,
  "affilScore3Yr": 3942,
  "publications": {
    "Scopus Article": 256,
    "Scopus Citation": 2505,
    "Scopus Cited Document": 223,
    "Scopus H-Index": 26,
    "Scopus i10-Index": 77,
    "WOS Article": 104,
    "WOS Citation": 661,
    "WOS H-Index": 13,
    "GScholar Article": 0
  }
}
```

**`affiliations` mode** — real output:

```json
{
  "recordType": "AFFILIATION",
  "affiliationId": "380",
  "name": "Universitas Airlangga",
  "profileUrl": "https://sinta.kemdiktisaintek.go.id/affiliations/profile/380",
  "sintaScoreOverall": 3624707,
  "sintaScore3Yr": 1334044,
  "metaText": "Universitas Airlangga UNAIR KOTA SURABAYA - JAWA TIMUR, ID ID : 380 | CODE : 001004 194 Department 2,240 Authors",
  "_totalRecordsAvailable": 5567
}
```

| Field | Type | Description |
|---|---|---|
| `recordType` | string | `AUTHOR_CARD`, `AUTHOR_PROFILE`, or `AFFILIATION`. |
| `sintaId` | string | National researcher ID. |
| `name` | string | Researcher or institution name. |
| `googleScholarId` | string | Google Scholar user ID — join key to Scholar. |
| `affiliation` / `affiliationId` / `department` | string | Institution, its ID, and department. |
| `subjects` | array | Declared subject areas. |
| `sintaScoreOverall` / `sintaScore3Yr` | integer | National scores. |
| `affilScore` / `affilScore3Yr` | integer | Contribution to the institution's score. |
| `scopusHIndex` / `wosHIndex` / `googleHIndex` | integer | H-index per source (listing rows). |
| `publications` | object | Full metrics table per source (profile records). |
| `metaText` | string | Institution abbreviation, location, code, department and author counts. |
| `_totalRecordsAvailable` | integer | How many records exist upstream for this scope. |
| `_error` / `_errorDetail` | string | Present only on failures. |

### Notes & limits

- **Numbers use Indonesian formatting upstream** (`12.748` means 12,748). They are converted to real integers in the output, so `sintaScoreOverall` is `12748` — no silent decimal mangling.
- **Listing pages hold 10 records.** Walking the full index means 33,560 pages, so set `maxItems` deliberately; the run always reports the true upstream total.
- **The site's own sort control does not work over a plain request**, so it is not offered as an input rather than shipped as a knob that quietly does nothing. The default order is by SINTA Score 3Yr.
- **Google Scholar H-index is often 0** for researchers whose Scholar profile is not linked; Scopus figures are the more complete series.
- All data is published openly by the ministry for public consultation.

# Actor input Schema

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

"authors" lists or searches researchers. "author" fetches a full researcher profile with per-source publication metrics. "affiliations" lists institutions with their aggregate scores.

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

"authors" mode: free-text search over researcher names. Leave blank to walk the full national index (335,000+ researchers, ranked by SINTA score).

## `enrichProfiles` (type: `boolean`):

"authors" mode: after listing, fetch each researcher's own profile too -- adds affiliation scores and the full Scopus / Google Scholar / Web of Science publication table. Costs one extra request per researcher.

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

"author" mode: a numeric SINTA ID, or a full profile address.

## `sintaIds` (type: `array`):

"author" mode: several researchers to fetch in one run.

## `maxItems` (type: `integer`):

"authors" / "affiliations" mode: how many records to collect. Listing pages hold 10 each and are followed automatically. The index held 335,591 researchers and 5,567 affiliations at build time.

## `maxConcurrency` (type: `integer`):

How many profiles to fetch in parallel ("author" mode, and "authors" mode when full profiles are enabled).

## `proxyConfiguration` (type: `object`):

Apify Proxy configuration. Residential is on by default for stable results on long paginated runs against a government host.

## Actor input object example

```json
{
  "mode": "authors",
  "query": "zainul",
  "enrichProfiles": false,
  "sintaId": "5980682",
  "maxItems": 100,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

All researcher / affiliation records produced by this run.

# 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": "authors",
    "query": "zainul",
    "sintaId": "5980682",
    "maxItems": 100,
    "maxConcurrency": 4,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fanndev/sinta-researcher-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": "authors",
    "query": "zainul",
    "sintaId": "5980682",
    "maxItems": 100,
    "maxConcurrency": 4,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("fanndev/sinta-researcher-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": "authors",
  "query": "zainul",
  "sintaId": "5980682",
  "maxItems": 100,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call fanndev/sinta-researcher-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fanndev/sinta-researcher-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/xBVex6wtq4Oim6rp0/builds/NBGLyaqDF5sfxeU8e/openapi.json