# ORCID Researcher Scraper - Profiles, Works & Keywords (`ninhothedev/orcid-scraper`) Actor

$0.5/1K 🔥 Fast ORCID scraper! Find researchers by name or field — name, institutions, keywords & ORCID iD. No key. JSON, CSV, Excel or API in seconds. Pull thousands for academic lead gen & recruiting scientists ⚡

- **URL**: https://apify.com/ninhothedev/orcid-scraper.md
- **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community)
- **Categories:** Developer tools, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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.

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

## ORCID Researcher Scraper 🎓

Turn the world's largest open registry of researchers into a structured lead list. This Apify Actor scrapes **[ORCID](https://orcid.org)** — the standard identifier for academics and scientists — and returns clean JSON/CSV/Excel records: names, institutions, emails, keywords, and biographies. **No API key. No login. Datacenter-proxy friendly.**

Search by keyword, research topic, or name — or resolve a list of ORCID iDs directly to full profiles.

***

### ✨ What you get

Every researcher is one dataset item:

| Field | Description |
|-------|-------------|
| `orcid_id` | The 16-digit ORCID iD (e.g. `0000-0002-1825-0097`) |
| `given_names` / `family_names` | Split name parts |
| `name` | Display name (credit-name, else given + family) |
| `institutions` | List of affiliations / employers |
| `emails` | Public emails (when the researcher made them public) |
| `keywords` | Research keywords (when enriched / in profiles mode) |
| `biography` | Public bio, capped at 3000 chars (when enriched / profiles mode) |
| `url` | Public ORCID profile URL |
| `source` | Always `orcid` |
| `scraped_at` | UTC ISO timestamp |

***

### 🚀 Modes

#### `search` — keyword / name → researcher list

Feed research topics or names. The Actor pages ORCID's expanded-search and returns matching researchers with names, institutions, and public emails. Set **`enrich: true`** to additionally fetch keywords + biography for every hit.

#### `profiles` — ORCID iDs → full detail

Feed a list of ORCID iDs (bare or as `orcid.org` URLs). Each is resolved to a full profile including affiliations from the employments record, keywords, and biography.

***

### 🧾 Example input

```json
{
  "mode": "search",
  "queries": ["machine learning", "quantum computing"],
  "enrich": true,
  "maxItems": 200
}
```

```json
{
  "mode": "profiles",
  "orcidIds": ["0000-0002-1825-0097", "0000-0003-1613-5981"]
}
```

### 📦 Example output

```json
{
  "orcid_id": "0000-0002-1825-0097",
  "name": "Josiah Carberry",
  "given_names": "Josiah",
  "family_names": "Carberry",
  "institutions": ["Wesleyan University", "Brown University"],
  "emails": [],
  "keywords": ["psychoceramics", "ionian philology"],
  "biography": "Josiah Carberry is a fictitious person...",
  "url": "https://orcid.org/0000-0002-1825-0097",
  "source": "orcid",
  "scraped_at": "2026-07-20T00:00:00Z"
}
```

***

### 💡 Use cases

- **Academic lead generation** — build targeted outreach lists of researchers in a field.
- **Research collaboration** — find potential co-authors, reviewers, or partners by topic.
- **Recruiting scientists** — source PhDs, postdocs, and PIs by expertise and institution.
- **Scholarly datasets** — assemble reproducible researcher datasets for bibliometrics.

***

### 💰 Pricing

Pay-per-result, roughly **~$0.50 per 1,000 researchers** plus platform compute. ORCID is a clean public API, so runs are fast and cheap. Start with a small `maxItems` to preview.

***

### 🔗 Related actors

- [Semantic Scholar Scraper](https://apify.com/ninhothedev/semantic-scholar-scraper)
- [OpenAlex Scraper](https://apify.com/ninhothedev/openalex-scraper)
- [Crossref Scraper](https://apify.com/ninhothedev/crossref-scraper)
- [Email Finder Scraper](https://apify.com/ninhothedev/email-finder-scraper)

***

### ⚖️ Notes & compliance

This Actor reads only **public** ORCID data via the official public API. Emails and biographies appear only where the researcher chose to make them public. Respect ORCID's terms and applicable privacy laws (e.g. GDPR) when using the data for outreach.

**Keywords:** orcid scraper, researcher scraper, academic lead generation, scientist email finder, research profiles api, scholarly data, orcid api no key, affiliation scraper.

# Actor input Schema

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

How to run the scraper. 'search' turns keyword/name queries into a researcher list. 'profiles' resolves explicit ORCID iDs to full detail (name, institutions, keywords, biography).

## `queries` (type: `array`):

Keywords, research topics, or researcher names to search ORCID for (used in 'search' mode). Each query is paged until maxItems is reached.

## `orcidIds` (type: `array`):

Explicit ORCID iDs to fetch full profiles for (used in 'profiles' mode). Accepts bare iDs or full orcid.org URLs, e.g. 0000-0002-1825-0097.

## `enrich` (type: `boolean`):

In 'search' mode, fetch each researcher's /person endpoint to add keywords and biography. Slower but richer. Ignored in 'profiles' mode (always full detail).

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

Maximum number of researcher records to return across all queries / iDs.

## Actor input object example

```json
{
  "mode": "search",
  "queries": [
    "machine learning",
    "quantum computing"
  ],
  "orcidIds": [
    "0000-0002-1825-0097"
  ],
  "enrich": false,
  "maxItems": 100
}
```

# 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 = {
    "queries": [
        "machine learning",
        "quantum computing"
    ],
    "orcidIds": [
        "0000-0002-1825-0097"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/orcid-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 = {
    "queries": [
        "machine learning",
        "quantum computing",
    ],
    "orcidIds": ["0000-0002-1825-0097"],
}

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/orcid-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "machine learning",
    "quantum computing"
  ],
  "orcidIds": [
    "0000-0002-1825-0097"
  ]
}' |
apify call ninhothedev/orcid-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ninhothedev/orcid-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/LFC6EG9rXZh4H9QXh/builds/k5gbzmGVy5fG6Nxmz/openapi.json