Crossref Scraper: DOI Metadata and Citations | $1/1K
Pricing
from $1.00 / 1,000 results
$1 per 1,000 results, platform usage included. Scholarly works from the official Crossref API: DOI, title, authors, journal, publisher, citation count, funders, licence and retraction notices. Search by text, DOI, author or ISSN. No key.
You can access the Crossref Scraper: DOI Metadata and Citations | $1/1K 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 "searchTexts": ["machine learning"],10 "sortBy": "mostCited",11 "maxItems": 50,12}13
14# Run the Actor and wait for it to finish15run = client.actor("one_dollar_store/crossref-doi-metadata").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 Scraper: DOI Metadata and Citations | $1/1K API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: