# ORCID Researcher Profiles Scraper (`neuton/orcid-researcher-profiles-scraper`) Actor

Search ORCID public researcher records and export ORCID iDs, names, biography text, keywords, countries, external identifiers, employment summaries, education summaries, and work counts.

- **URL**: https://apify.com/neuton/orcid-researcher-profiles-scraper.md
- **Developed by:** [Ashwin Prasad](https://apify.com/neuton) (community)
- **Categories:** Education
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Profiles Scraper

Search ORCID public researcher records or fetch known ORCID iDs.

Use this actor for public researcher-profile discovery, academic affiliation mapping, expert finding, grant scouting, KOL research, author disambiguation, and research-organization enrichment. It focuses on public ORCID profile metadata and summary counts, not private contact data.

### Common Use Cases

- Enrich author, expert, or principal-investigator lists with ORCID IDs and profile URLs
- Map researchers by affiliation, keyword, country, employment, education, or work count
- Support academic CRM, grant scouting, KOL research, and university market maps
- Deduplicate names across literature datasets and researcher directories
- Feed AI agents with public profile context for expert-search workflows

### Output

Rows include ORCID iD, profile URL, names, biography, keywords, country, external identifiers, employment count, education count, work count, and organization summaries.

### Example Input

```json
{"queries":["affiliation-org-name:Stanford AND family-name:Smith"],"maxResultsPerQuery":10}
```

### Pricing Recommendation

Launch with pay-per-event default dataset billing at about $2 per 1,000 public profile rows.

### SEO Keywords

ORCID scraper, ORCID profile API, researcher profile scraper, academic expert search, ORCID ID lookup, principal investigator data, researcher metadata export, academic KOL scraper.

### Responsible Use

This actor extracts public ORCID profile metadata. Do not use outputs for spam, sensitive profiling, or unsupported identity claims. Verify important affiliation, authorship, and credential decisions against the source ORCID profile and institution/publication records.

### Automation Ideas

Schedule recurring researcher searches for institutions, fields, grants, or KOL lists. AI agents can deduplicate names, summarize public profile context, enrich literature datasets, identify relevant experts, and route profiles to research or business-development workflows.

# Actor input Schema

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

ORCID search queries, e.g. family-name:Smith AND given-names:Jane or affiliation-org-name:Stanford.

## `orcids` (type: `array`):

Fetch public ORCID records directly, e.g. 0000-0002-1825-0097.

## `maxResultsPerQuery` (type: `integer`):

Maximum ORCID records to fetch for each query.

## Actor input object example

```json
{
  "maxResultsPerQuery": 25
}
```

# Actor output Schema

## `results` (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("neuton/orcid-researcher-profiles-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("neuton/orcid-researcher-profiles-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 '{}' |
apify call neuton/orcid-researcher-profiles-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/nElfM8voqENHVtzTu/builds/bUAD5Vq7maVIj2dmL/openapi.json