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Search scholarly papers on climate change

Returns up to 50 Crossref records on climate change — DOI, title, authors, journal, year, citations and 32 more fields.

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Crossref Scholarly Metadata API - Data Scraper
Crossref Scholarly Metadata API - Data Scrapergettingtechnicl/crossref-org
Date Parts
Date Time
Timestamp
Edition Number
+33 fields
Text
Number
Boolean
List
Object

Input

Search query:climate change
Maximum results:50
Proxy Configuration:{1 field}

Output fields

Date Parts
Date Time
Timestamp
Edition Number
Reference Count
Publisher
Value
Type
Crossmark Restriction
Date Parts
DOI
Type
Page
Source
Is Referenced By Count
Title
Prefix
Member
Date Parts
Container Title
Language
URL
Content Type
Content Version
Intended Application
Date Parts
Date Time
Timestamp
Score
URL
Date Parts
ISBN
References Count
Alternative Id
URL
Archive
Date Parts

How it works

Sign up on Apify or log in

The Crossref Scholarly Metadata API - Data Scraper Actor is ready to run with the inputs already set for "Search scholarly papers on climate change". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Search scholarly papers on climate change" task

The Crossref Scholarly Metadata API - Data Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search query, maximum results, and more, to match your specific use case.

Receive the "Search scholarly papers on climate change" 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 date parts, date time, timestamp, 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 "Search scholarly papers on climate change" task via API.

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