DataCite DOI Monitor - Research Datasets & Metadata Changes
Pricing
from $0.60 / 1,000 saved observations
Find dataset DOIs through DataCite and track version, rights and metadata changes. Export stable DOI identities and source links for dataset discovery and provenance reviews.
You can access the DataCite DOI Monitor - Research Datasets & Metadata Changes 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 API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "queries": ["machine learning"] }9
10# Run the Actor and wait for it to finish11run = client.actor("maydit/datacite-dataset-doi-monitor").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use DataCite DOI Monitor - Research Datasets & Metadata Changes API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: