# Crossref Scholarly Works Scraper — DOIs, Grants & Funding In (`spotless_studios/crossref-works-scraper`) Actor

Scrape academic DOIs, scholarly journal publications, research grants, citation counts, publishers, and scientific funding bodies from Crossref's 150M+ repository.

- **URL**: https://apify.com/spotless_studios/crossref-works-scraper.md
- **Developed by:** [Spotless Studios](https://apify.com/spotless_studios) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 crossref scholarly work extracteds

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

## Crossref Scholarly Works & Funding Intelligence Scraper

Extract academic DOIs, scholarly journal publications, research grants, citation counts, publishers, and scientific funding bodies from Crossref's index of 150M+ records.

### Features

- **Scholarly Citation & DOI Intelligence**: Extracts DOI, publication title, journal/proceedings container, publisher name, publication date, citation count, referenced works count, author list with affiliations, and funding organizations.
- **Grant & Funder Mapping**: Identify institutional funding sources (e.g. `National Science Foundation`, `NIH`, `Wellcome Trust`) tied to specific scientific discoveries.
- **Academic Filters**: Filter by work type (`journal-article`, `proceedings-article`, `book-chapter`, `dataset`), publication year ranges, and minimum citation thresholds.
- **Continuous IP Monitoring**: Use `onlyNewItems` with a `stateKey` to automatically monitor patent-relevant or emerging technical literature and notify R\&D teams.
- **Fast REST Architecture**: Consumes high-throughput public JSON endpoints without headless browser overhead (128 MB memory).

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `searchQuery` | String | `"quantum computing"` | Research topic, title keywords, or concepts |
| `workType` | String | `"all"` | `all`, `journal-article`, `proceedings-article`, etc. |
| `fromYear` | Integer | `null` | Earliest publication year (e.g. 2024) |
| `toYear` | Integer | `null` | Latest publication year (e.g. 2026) |
| `minCitations` | Integer | `0` | Minimum times referenced/cited |
| `funder` | String | `""` | Grant funding organization name |
| `sort` | String | `"is-referenced-by-count"` | `is-referenced-by-count`, `published`, `relevance` |
| `order` | String | `"desc"` | `desc` or `asc` |
| `maxResults` | Integer | `100` | Maximum works to extract |
| `onlyNewItems` | Boolean | `false` | Monitoring mode: only emit newly indexed publications |
| `outputPreset` | String | `"full"` | `full`, `lean`, or `contacts` |

### Output Example

```json
{
  "doi": "10.1038/s41586-024-07312-x",
  "title": "Quantum Error Correction Below Fault-Tolerance Thresholds",
  "type": "journal-article",
  "publisher": "Springer Science and Business Media LLC",
  "containerTitle": "Nature",
  "publishedYear": 2025,
  "publishedDate": "2025-05-18",
  "isReferencedByCount": 312,
  "referencesCount": 48,
  "authors": [
    { "name": "Dr. Michael Zhang", "given": "Michael", "family": "Zhang", "affiliation": "MIT Center for Quantum Engineering" }
  ],
  "funderNames": ["National Science Foundation", "Department of Energy"],
  "url": "https://doi.org/10.1038/s41586-024-07312-x",
  "licenseUrl": "http://creativecommons.org/licenses/by/4.0/",
  "scrapedAt": "2026-10-27T12:00:00.000Z"
}
```

***

### More from Spotless Studios

**[All actors on Apify](https://apify.com/spotless_studios)** · Support: spotless.studios.info@gmail.com

| Actor | Best for |
|-------|----------|
| [SLED Government Bids](https://apify.com/spotless_studios/sled-procurement-scraper) | Daily US gov RFP / bid alerts |
| [Webflow Experts](https://apify.com/spotless_studios/webflow-experts-scraper) | Webflow agency & freelancer leads |
| [Stripe Partners](https://apify.com/spotless_studios/stripe-partners-scraper) | Stripe implementation partner lists |
| [UK Planning Applications](https://apify.com/spotless_studios/uk-planning-applications-scraper) | UK planning leads + agent contacts |
| [Product Hunt](https://apify.com/spotless_studios/product-hunt-scraper) | Every PH launch + makers / websites |
| [Duunitori Jobs](https://apify.com/spotless_studios/duunitori-jobs-scraper) | Finland job listings |
| [Clutch Agencies](https://apify.com/spotless_studios/clutch-agencies-scraper) | Clutch agency prospecting |
| [Skool Communities](https://apify.com/spotless_studios/skool-communities-scraper) | Skool community & creator leads |

# Actor input Schema

## `searchQuery` (type: `string`):

Search title, authors, abstract, or bibliographic fields (e.g. 'gene therapy', 'autonomous driving', 'climate modeling').

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

Optional list of multiple search queries to run sequentially in a single job.

## `author` (type: `string`):

Filter by author given or family name (query.author).

## `containerTitle` (type: `string`):

Filter by journal, book, or conference proceedings title (e.g. 'Nature', 'IEEE Access', 'The Lancet').

## `funder` (type: `string`):

Filter by grant funding agency name (e.g. 'National Science Foundation', 'NIH', 'Horizon Europe').

## `issn` (type: `string`):

Filter by exact journal ISSN (e.g. '0028-0836').

## `workType` (type: `string`):

Filter by Crossref publication type.

## `fromYear` (type: `integer`):

Minimum publication year (e.g. 2022).

## `toYear` (type: `integer`):

Maximum publication year (e.g. 2026).

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

Minimum number of times referenced by other DOIs.

## `hasAbstractOnly` (type: `boolean`):

Require published abstract metadata in Crossref.

## `hasFullTextOnly` (type: `boolean`):

Require full-text PDF/XML download links.

## `hasOrcidOnly` (type: `boolean`):

Require at least one authenticated author ORCID.

## `hasFunderOnly` (type: `boolean`):

Require funding agency and award metadata.

## `sort` (type: `string`):

Field to sort works by.

## `order` (type: `string`):

Descending or ascending.

## `dois` (type: `array`):

Scrape specific works directly by DOI or URL (e.g. '10.1038/nature14539', 'https://doi.org/10.1126/science.aaa8415').

## `includeKeywords` (type: `array`):

Keep only works matching these keywords or /regex/ in title, abstract, journal, or authors.

## `excludeKeywords` (type: `array`):

Skip works matching any of these keywords or /regex/.

## `keywordMatch` (type: `string`):

Require any or all includeKeywords to match.

## `onlyNewItems` (type: `boolean`):

Remember seen DOIs across runs and emit only newly discovered works.

## `stateKey` (type: `string`):

Separate state key per saved search or schedule.

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

Maximum number of works to save.

## `outputPreset` (type: `string`):

Choose full record, lean summary, or contacts & links only.

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

Keep only these specific fields in each saved record.

## `excludeFields` (type: `array`):

Remove specific fields from each saved record.

## `includeEmptyFields` (type: `boolean`):

When disabled, strips null and empty values from each saved record.

## `requiredFields` (type: `array`):

Only save records where every listed field has a non-empty value (e.g. abstract, funderNames).

## `maxPages` (type: `integer`):

Maximum search pages per query (100 works per page).

## `maxConcurrency` (type: `integer`):

Parallel requests when fetching direct DOIs.

## `maxRequestRetries` (type: `integer`):

Retries per failed HTTP request.

## `requestTimeoutSecs` (type: `integer`):

Timeout per HTTP request.

## `proxyConfiguration` (type: `object`):

Optional proxy settings.

## `proxyEscalation` (type: `boolean`):

Automatically step up from direct to Apify datacenter/residential proxies if blocked.

## Actor input object example

```json
{
  "searchQuery": "quantum computing",
  "workType": "all",
  "hasAbstractOnly": false,
  "hasFullTextOnly": false,
  "hasOrcidOnly": false,
  "hasFunderOnly": false,
  "sort": "is-referenced-by-count",
  "order": "desc",
  "keywordMatch": "any",
  "onlyNewItems": false,
  "stateKey": "default",
  "maxResults": 50,
  "outputPreset": "full",
  "includeEmptyFields": true,
  "maxPages": 15,
  "maxConcurrency": 5,
  "maxRequestRetries": 3,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "proxyEscalation": true
}
```

# Actor output Schema

## `items` (type: `string`):

Scrape academic DOIs, scholarly journal publications, research grants, citation counts, publishers, and scientific funding bodies from Crossref's 150M+ repository.

# 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 = {
    "searchQuery": "quantum computing",
    "maxResults": 50,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("spotless_studios/crossref-works-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 = {
    "searchQuery": "quantum computing",
    "maxResults": 50,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("spotless_studios/crossref-works-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 '{
  "searchQuery": "quantum computing",
  "maxResults": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call spotless_studios/crossref-works-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,spotless_studios/crossref-works-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/hrB2j817trMqSh7sh/builds/wSumgnoIdK5vafGtP/openapi.json