# OpenAlex DeepTech & AI Corporate R\&D Talent & Lab Finder (`afkdigital/newapi26-openalex-deeptech-rd-finder`) Actor

Find publication-linked authors and research institutions from OpenAlex. One evidence-backed author–work–institution match per result; $0.005 each. Affiliations apply to the cited publication, not present employment.

- **URL**: https://apify.com/afkdigital/newapi26-openalex-deeptech-rd-finder.md
- **Developed by:** [AFK Digital](https://apify.com/afkdigital) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 unique author–work–institution matches

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## OpenAlex DeepTech & AI Corporate R\&D Talent & Lab Finder

Find publication-linked R\&D authors and institutions from the official OpenAlex API. Each dataset item is **one unique OpenAlex author ID + work ID + institution ID** from an authorship on that specific publication. An affiliation is evidence for that publication, **not evidence of present employment**, a sales contact, or a verified corporate staff role.

### Inputs and limits

| Input | Default | Meaning |
| --- | --- | --- |
| `topic` | quantum computing | OpenAlex full-text work search |
| `publicationDateFrom` / `publicationDateTo` | 2025-01-01 / today | Inclusive publication date range |
| `countryCode` | US | Country of the same authorship's institution; blank for any |
| `institutionType` | company | OpenAlex institution type; blank for any |
| `minCitations` | 0 | Minimum work `cited_by_count` |
| `maxResults` | 5 | Maximum unique author–work–institution rows |
| `maxCostUsd` | $0.025 | Maximum result event charge |
| `maxOpenAlexCostUsd` | $0.01 | Maximum measured API request usage |
| `maxApiRequests` | 30 | Request count ceiling |
| `openAlexApiKey` | empty | Optional verified free key; can also set `OPENALEX_API_KEY` securely |

With no key, the Actor scans at most the first 25 matching works in one page. A verified free key enables bounded page pagination. Do not put API keys into code, logs, or public input examples. No prepaid OpenAlex usage is purchased by this Actor.

### Output

The default Apify Dataset is JSON and can be downloaded as CSV from its standard `/items?format=csv` endpoint, or sent to Clay or n8n. Fields: `author_name`, `orcid` (nullable), `affiliated_institution_or_company`, `institution_id`, `country_code`, `work_title`, `publication_date`, `cited_by_count`, `topics_keywords` (array in JSON; serialized in CSV), `doi_url` (nullable), `source_url`, `observed_at`, plus `author_id` and `work_id` for deduplication. Institution type and country are rechecked against the OpenAlex `/institutions/{id}` record; ORCID is supplemented from `/authors/{id}`. The relationship itself always comes from `/works` `authorships`.

### Pricing and API costs

**$0.005 per unique author–publication–institution match**, or **$5 for 1,000 items**. One row in the default dataset is one `apify-default-dataset-item` pay-per-event charge; no extra custom event is charged. `maxCostUsd` limits that event total, and Apify's run charge ceiling is respected. The OpenAlex API is a separate resource cost; the run summary measures its `meta.cost` per call. A search is currently $0.001 per request, singleton lookups are free, and keyless usage has a shared $0.10/day budget. A free verified key grants $1/day. Users do not need to buy a paid OpenAlex plan for the small default. Apify platform usage is measured separately in cloud run reports; Store pricing may include it according to the pricing configuration. No purchase is automated.

### Caveats

OpenAlex authorship affiliation matching and author disambiguation can be imperfect; a person can list several institutions on one work. A missing ORCID stays null. Works returned in a list may truncate authorships after 100; this Actor fetches the singleton to inspect the full byline when needed. Query filters identify candidate works, but the Actor checks country and type on each author's own institution. Research topics are metadata, not claims about commercial offerings.

Data: [OpenAlex](https://openalex.org), accessed through its official API. Use the source URL and OpenAlex IDs to audit each row.

# Actor input Schema

## `topic` (type: `string`):

topic filter or safety limit.

## `publicationDateFrom` (type: `string`):

publicationDateFrom filter or safety limit.

## `publicationDateTo` (type: `string`):

Empty means today.

## `countryCode` (type: `string`):

ISO two-letter code; empty for any.

## `institutionType` (type: `string`):

institutionType filter or safety limit.

## `minCitations` (type: `integer`):

minCitations filter or safety limit.

## `maxResults` (type: `integer`):

maxResults filter or safety limit.

## `maxCostUsd` (type: `number`):

At $0.005 per match; separate from OpenAlex request budget.

## `maxOpenAlexCostUsd` (type: `number`):

Hard request budget. Does not buy OpenAlex prepaid credits.

## `maxApiRequests` (type: `integer`):

maxApiRequests filter or safety limit.

## `openAlexApiKey` (type: `string`):

Verified free key for higher daily budget and bounded pagination. Never printed or saved.

## Actor input object example

```json
{
  "topic": "quantum computing",
  "publicationDateFrom": "2025-01-01",
  "countryCode": "US",
  "institutionType": "company",
  "minCitations": 0,
  "maxResults": 5,
  "maxCostUsd": 0.025,
  "maxOpenAlexCostUsd": 0.01,
  "maxApiRequests": 30
}
```

# Actor output Schema

## `defaultDataset` (type: `string`):

No description

## `summary` (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("afkdigital/newapi26-openalex-deeptech-rd-finder").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("afkdigital/newapi26-openalex-deeptech-rd-finder").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 '{}' |
apify call afkdigital/newapi26-openalex-deeptech-rd-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,afkdigital/newapi26-openalex-deeptech-rd-finder"
        }
    }
}
```

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/bhSURVQhCjQeYSKYJ/builds/k8M2W8zb0bfV2Y4Ow/openapi.json