You can access the Datacite Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("velvety_bedbug/datacite-scraper").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Datacite Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Datacite Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Datacite Scraper API in Python

Datacite Scraper API through CLI

Datacite Scraper OpenAPI definition

Datacite Scraper API

DataCite Metadata Scraper

parseforge/datacite-metadata-scraper

Comprehensive DataCite metadata scraper for extracting DOI metadata from DataCite API. Perfect for researchers, librarians, and data scientists who need automated access to scholarly publication metadata, research datasets, and digital object identifiers.