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Look up DOIs

A preconfigured run of CrossRef Scraper — Scholarly Works & Citations: Look up DOIs. Input — dois: 10.1038/nature14539, 10.1126/science.1231143. Results are returned as JSON rows in the default dataset; run it as-is or change the input and run your own.

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CrossRef Scraper — Scholarly Works & Citations
CrossRef Scraper — Scholarly Works & Citationsponderable_hydrometer/crossref-scraper
Doi
Title
Type
Authors
+8 fields
Text
Number
Boolean
List
Object

Input

Specific DOIs:10.1038/nature14539+1

Output fields

Doi
Title
Type
Authors
Container Title
Publisher
Published
Year
Volume
Issue
Page
Issn

How it works

Sign up on Apify or log in

The CrossRef Scraper — Scholarly Works & Citations Actor is ready to run with the inputs already set for "Look up DOIs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Look up DOIs" task

The CrossRef Scraper — Scholarly Works & Citations Actor will start running based on the input automatically. You can also change all the input fields, like specific dois, to match your specific use case.

Receive the "Look up DOIs" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as doi, title, type, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Look up DOIs" task via API.

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Integrate "Look up DOIs" into your workflow

Connect "Look up DOIs" with 100+ integrations, or run it via API or MCP.

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