# ORCID Researchers Scraper (Profiles, Affiliations & Works) (`scrapers_lat/orcid-researchers-scraper`) Actor

Scrape ORCID researcher profiles: ORCID iD, names, biography, country, keywords, websites, external IDs, employment and education affiliations (org, role, dates, city) and recent works (title, type, year, DOI). Search by name, affiliation, keyword or ORCID iD. Export to JSON, CSV or Excel.

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

## Pricing

from $12.75 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Researchers Scraper (Profiles, Affiliations & Works)

> Find and export researcher profiles from ORCID: ORCID iD, names, biography, country, research keywords, websites, external identifiers (Scopus, ResearcherID, ISNI), employment and education affiliations with organization, role, dates and city, and recent works with title, type, year and DOI. Search by name, affiliation, keyword or country, or look up a list of ORCID iDs. Built for academic and R\&D lead generation, researcher verification, expert sourcing and data enrichment.

![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify\&logoColor=white)
![Researcher data](https://img.shields.io/badge/Data-Researchers-blue)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)

**📥 [Input](https://apify.com/scrapers_lat/orcid-researchers-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/orcid-researchers-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/orcid-researchers-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/orcid-researchers-scraper/examples)**

<table><tr>
<td align="center"><strong>Search 4 ways</strong><br>name · affiliation · keyword · country</td>
<td align="center"><strong>Affiliations</strong><br>employment + education</td>
<td align="center"><strong>Works</strong><br>title · type · year · DOI</td>
</tr></table>

<br>

### What you get

One clean, flat record per researcher:

- **Identity** — ORCID iD and profile URL, given and family name, credit name, other names and a full name.
- **Profile** — biography, country, research keywords, websites (with labels) and a LinkedIn URL when listed.
- **External identifiers** — Scopus Author ID, Web of Science ResearcherID, ISNI and any other IDs on the profile, plus a public email when the researcher chose to publish one.
- **Affiliations** — current employer with role, city, country and ROR id, most recent education, employment and education counts, and every affiliation as a readable string.
- **Works** — total works count, the most recent work (title, year, DOI) and a list of recent works and their DOIs.

No result means no charge, and no login, cookies or API key are ever required.

### Who is it for

| Use case | Who benefits |
|---|---|
| Academic & R\&D lead generation | Teams sourcing researchers and experts by field or institution |
| Researcher verification / KYB | Verifying identity, affiliations and publication history |
| Expert sourcing & recruiting | Finding candidates by topic, institution and country |
| Bibliometrics & research intelligence | Mapping people, affiliations and outputs |
| Data enrichment | Adding ORCID iDs, affiliations and IDs to existing records |

### How to use it

1. Add one or more **search queries** (a researcher name, institution or topic), or use the structured filters (**family name**, **given names**, **affiliation organization**, **keyword**), or paste a list of **ORCID iDs**.
2. Optionally restrict results to a **country** (2-letter ISO code) and choose whether to **include recent works**.
3. Set **Max researchers** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.

### Frequently Asked Questions

**How can I search?**
By free-text query (name, institution or topic), by structured filters (name, affiliation organization, keyword), by country, or by exact ORCID iDs. Filters combine so you can, for example, find everyone at an institution working on a topic.

**Does it include affiliations and works?**
Yes. Each record includes employment and education affiliations (organization, role, dates, city, country) and the researcher's recent works with title, type, year and DOI.

**Does it include emails?**
Only when the researcher has chosen to make their email public on their profile; most do not.

**How fresh is the data?**
Every record is read live at run time from the public researcher registry and carries an `observedAt` timestamp.

### Export, API and AI agents (x402 + MCP)

Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.

For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).

### Related scrapers

- [OpenAlex Scholarly Works Scraper](https://apify.com/scrapers_lat/openalex-scraper)
- [Semantic Scholar Papers Scraper](https://apify.com/scrapers_lat/semantic-scholar-scraper)
- [Crossref Scholarly Metadata Scraper](https://apify.com/scrapers_lat/crossref-scraper)

### More scrapers at scrapers.lat

This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).

***

> This actor is an independent tool and has no affiliation with ORCID. It only accesses publicly available researcher data through public endpoints. Use the results in accordance with the source's terms.

# Actor input Schema

## `searchQueries` (type: `array`):

One or more free-text searches by researcher name, institution or topic. One run searches every term, for example \["Geoffrey Hinton", "quantum computing", "Stanford University"].

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

Optional. One or more exact ORCID iDs to look up directly, e.g. \["0000-0001-5109-3700"].

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

Optional. Filter by researcher family (last) name.

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

Optional. Filter by researcher given (first) names.

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

Optional. Filter by affiliation organization name, e.g. "Stanford University".

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

Optional. Filter by a research keyword listed on the profile, e.g. "machine learning".

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

Optional. Keep only researchers whose profile country matches this 2-letter ISO code, e.g. "US", "GB", "DE".

## `includeWorks` (type: `boolean`):

Include each researcher's recent works / publications (title, type, year, DOI).

## `maxResearchers` (type: `integer`):

Maximum number of researcher profiles to return across all searches.

## `withAiSummary` (type: `boolean`):

Off by default. When on, generates a 1-2 sentence summary from each researcher's biography (skipped when no biography). Requires a paid Apify plan. Billed only when a summary is produced.

## `withAiKeywords` (type: `boolean`):

Off by default. When on, infers 5-10 research-topic keywords per researcher from bio, stated keywords and recent works. Requires a paid Apify plan. Billed only when keywords are produced.

## `withAiField` (type: `boolean`):

Off by default. When on, classifies each researcher's primary field/discipline. Requires a paid Apify plan. Billed only when a classification is produced.

## Actor input object example

```json
{
  "searchQueries": [
    "machine learning"
  ],
  "includeWorks": true,
  "maxResearchers": 50,
  "withAiSummary": false,
  "withAiKeywords": false,
  "withAiField": false
}
```

# 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 = {
    "searchQueries": [
        "machine learning"
    ],
    "maxResearchers": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/orcid-researchers-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 = {
    "searchQueries": ["machine learning"],
    "maxResearchers": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/orcid-researchers-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 '{
  "searchQueries": [
    "machine learning"
  ],
  "maxResearchers": 50
}' |
apify call scrapers_lat/orcid-researchers-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapers_lat/orcid-researchers-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/nJ7lDagXrHzaryjE4/builds/RWAqA44NaHyUZM7r9/openapi.json