Crossref DOI Scraper - Scholarly Metadata & Citations
Pricing
from $2.00 / 1,000 results
Search Crossref or resolve exact DOIs. Export titles, authors, publishers, journals, publication dates, citation counts, ISSNs, ISBNs, licenses, and DOI links. Built for research and data pipelines. No login, cookies, or API keys — clean JSON output and pay-per-result pricing.
You can access the Crossref DOI Scraper - Scholarly Metadata & Citations 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 = {9 "queries": ["artificial intelligence"],10 "dois": ["10.1038/s41586-021-03819-2"],11 "maxResultsPerQuery": 20,12}13
14# Run the Actor and wait for it to finish15run = client.actor("thirdwatch/crossref-doi-scraper").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")19for item in client.dataset(run.default_dataset_id).iterate_items():20 print(item)21
22# 📚 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 Crossref DOI Scraper - Scholarly Metadata & Citations API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: