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Google Scholar systematic review workflow

Collect papers for systematic reviews with date filters, citations, abstracts, PDF links, and direct Scholar URL support.

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Google Scholar Scraper
Google Scholar Scraperautomation-lab/google-scholar-scraper
Title
URL
Authors
Year
+6 fields
Text
Number
Boolean
List
Object

Input

Search Queries:"remote work" productivity meta analysis+1
Google Scholar URLs:https://scholar.google.com/scholar?q=remote+work+productivity+meta+analysis
Year From:2019
Sort By:relevance
Include Patents:false
Include Citations:false
Max Results:100

Output fields

Title
URL
Authors
Year
Source
Citations
Snippet
Type
Versions
Query

How it works

Sign up on Apify or log in

The Google Scholar Scraper Actor is ready to run with the inputs already set for "Google Scholar systematic review workflow". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google Scholar systematic review workflow" task

The Google Scholar Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search queries, google scholar urls, and more, to match your specific use case.

Receive the "Google Scholar systematic review workflow" 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 title, URL, authors, 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 "Google Scholar systematic review workflow" task via API.

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