# ORCID Scraper - Researcher Profiles & iDs (`scrapesage/orcid-scraper`) Actor

Search ORCID or resolve ORCID iDs to public researcher profiles: name, other names, institutions, country, biography, keywords, researcher URLs, external IDs and public email where shared. For academic lead-gen, recruiting and research. No API key, no browser.

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

## Pricing

from $1.10 / 1,000 researcher scrapeds

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/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

## ORCID Scraper - Researcher Profiles & iDs

Search **ORCID** - the registry of **20M+ researcher identities** - or resolve **ORCID iDs** to public
profiles: **name**, **other names**, **institutions**, **country**, **biography**, **keywords**,
**researcher URLs**, **external IDs** and **public email** where the researcher has shared it. For
academic lead-gen, recruiting and research-network mapping. No key, no browser.

### What you get per researcher

| Field | Meaning |
|---|---|
| `orcidId` / `orcidUrl` | The ORCID iD and profile link |
| `givenNames` / `familyName` / `creditName` / `otherNames` | Names |
| `institutions` | Affiliated organisations |
| `country` / `biography` / `keywords` | Location, bio and research keywords (full profile) |
| `researcherUrls` / `externalIds` | Personal/lab links and other IDs (Scopus, ResearcherID...) |
| `emails` | Public email, where the researcher made it public |

### Input

```json
{ "searchQueries": ["keyword:genomics"], "fullProfile": true, "maxItemsPerQuery": 100 }
```

- **Search queries** - plain text or field syntax: `family-name:Smith`, `affiliation-org-name:MIT`,
  `keyword:genomics`. **ORCID iDs** - exact lookups (always full profile).
- **Full profile for search results** - also fetch each researcher's biography/keywords/URLs/country
  (one extra request each; off by default for fast name/institution results).
- **Import from a file** (queries and iDs auto-detected) and **Output fields** work as on our other actors.

Leave everything empty and the run returns a small free sample so you can see the shape first.

### Reliability

Reads the public [ORCID API](https://info.orcid.org/documentation/features/public-api/) - keyless, no
anti-bot, paginated. A search that returns nothing bills **$0**.

### Honest limits

- **Only public data.** ORCID profiles are researcher-controlled; email, biography and even names are shown
  only when the researcher set them public - many leave fields private, so a null is the researcher's
  privacy choice, not a scraping gap.
- **Search results carry names + institutions**; biography/keywords/URLs/country fill on an iD lookup or
  when **Full profile** is on.
- **This is identity/profile data, not publications** - for a researcher's papers use our Crossref,
  OpenAlex or PubMed scrapers with their ORCID iD.

### Pricing

**$0.002 per researcher** on the FREE tier (tiered pricing lowers it with volume). Only researchers
actually saved are billed; an empty search costs nothing.

### Output views

- **Researchers** - ORCID iD, names, institutions, country, keywords, profile link.

### Use with AI assistants (MCP)

Available through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) - an agent can
build a list of researchers at an institution, find experts by keyword, or resolve an ORCID iD to a
profile in one call. Pairs with our Crossref, OpenAlex and PubMed scrapers.

### Agent-ready: autonomous payments (x402 & Skyfire)

This actor is **agent-ready** - AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)** - an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) - no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** - agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

# Actor input Schema

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

ORCID search queries, one per line. Plain text searches all fields, or use field syntax - e.g. <code>family-name:Smith</code>, <code>affiliation-org-name:MIT</code>, <code>keyword:genomics</code>, <code>given-and-family-names:"Jane Doe"</code>. <b>Leave empty and the run returns a small free sample.</b>

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

Specific ORCID iDs to fetch exactly, one per line - e.g. <code>0000-0002-1825-0097</code>. A full orcid.org URL also works. iD lookups always return the full profile.

## `fullProfile` (type: `boolean`):

For SEARCH results, also fetch each researcher's full record (biography, keywords, URLs, country, external IDs). One extra request per researcher - leave off for faster, cheaper name/institution results.

## `searchQueriesFromFile` (type: `string`):

Bulk-load search queries or ORCID iDs (auto-detected). Either <b>paste the whole list</b> (one per line), or give <b>a single link</b> to a public <code>.txt</code>/<code>.csv</code>, a Google Sheet/Drive link, or an Apify key-value-store record. A file that cannot be read says so and charges nothing.

## `maxItemsPerQuery` (type: `integer`):

How many researchers to collect for each search query.

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

Overall cap across all queries and iDs. You are only charged for researchers actually saved.

## `outputFields` (type: `array`):

Pick the fields you want and every record is trimmed to exactly those - handy for lean CSV/Sheets exports. Profile fields (biography, keywords...) fill only with iD lookups or when Full profile is on.

## Actor input object example

```json
{
  "searchQueries": [
    "family-name:Curie"
  ],
  "fullProfile": false,
  "maxItemsPerQuery": 50,
  "maxItems": 1000
}
```

# Actor output Schema

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

Each record - an ORCID researcher profile with names, institutions and keywords - as a JSON item in the default dataset.

# 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": [
        "family-name:Curie"
    ],
    "searchQueriesFromFile": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/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 = {
    "searchQueries": ["family-name:Curie"],
    "searchQueriesFromFile": "",
}

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/orcid-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": [
    "family-name:Curie"
  ],
  "searchQueriesFromFile": ""
}' |
apify call scrapesage/orcid-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/orcid-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/fycYeKW9tUaOjeeDd/builds/DZUjh8SQwkiAbeTEH/openapi.json