How to scrape Google Scholar πŸŽ“

Learn how to scrape Google Scholar to extract details of publications and information on articles, such as titles, authors, links, related articles, and much more.

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Having access to research information is crucial for students, researchers, faculty members, and the academic community overall. Google Scholar serves as the ideal tool for this purpose. However, its limitations can block your research when requiring a large amount of data from Google Scholar. That’s when web scraping comes in, as it’s used to easily extract data, enabling the search of scholarly articles and academic materials.

Google Scholar Scraper
Try Google Scholar Scraper for free

🌐 Why scrape Google Scholar data?

This Google Scholar Scraper πŸ”—  is designed for simplicity, making it accessible even if you've never extracted article web data before.

What data can you get with the Google Scholar Scraper?

Scraping Google Scholar data allows you to tap into a vast database of academic articles and research topics, making it a treasure for academic research.

πŸ“š Document type πŸ“ Title
πŸ”— Document link πŸ“„ Additional document link
πŸ” Full attribution πŸ‘₯ Authors
πŸ“… Publication πŸ“… Publication year
πŸ” Source πŸ”Ž Search match
πŸ“– Citations πŸ”— Link to citations
πŸ”— Link to related articles πŸ₯‰ Versions
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Use the Google Scholar Scraper as an alternative to Google Scholar API?
Can I use the Google Scholar Scraper as an alternative to Google Scholar API?

πŸ€” Is there an official Google Scholar API?

No, which makes researchers unable to access Google Scholar data using Google's APIs directly. β†˜οΈ Since there is yet to be an official way to get data from Google Scholar, there are web scraping tools or open-source APIs that can be used.

‼️
Much like the API, web scraping tools like Google Scholar Scraper can conduct a google search research topics, and extract article and author information from the pages they find.

🏫 How to scrape academic resources from Google Scholar

This is your step-by-step guide to scraping publication data in minutes. ⭐

Step 1. Sign up for free on the Apify Console

You can sign up for free using your email account, Google, or GitHub. Once you’re signed up, you will be redirected to Apify Console, which will serve as your workspace to run tasks for your scrapers.

    Sign up for free using on the Apify Console
Sign up for free using your email account, Google, or GitHub.

Step 2. Go to Google Scholar Scraper and click Try for Free

In Apify Store, search for Google Scholar Scraper.

Google Scholar Scraper on the Apify Console
Find the Google Scholar Scraper on the Apify Console

Then, click on the Try for free button. ‡️ 

Scrape publication details from scholar.google.com
Try for Free

Step 3. Add your desired search keyword

For your academic research, simply enter the keyword associated with the resources you wish to scrape within the Google Scholar database. In this instance, we're focusing on finding books or journals related to Czech history.

Enter the keyword associated with the resources you wish to scrape within the Google Scholar database
You can modify max items depending on the amount of results you desire.

Step 4. Click Save & Start ▢️ to run the scraper

While the scraper is running, you can see the data output coming in, but it’s only done once the status changes to Succeeded.

Google Scholar Scraper run
Save & start to run Google Scholar Scraper
Watch the process in the Apify console.
You can monitor your scraper and watch the process in the Apify console. Check logs for updates or issues.

Step 5. View the results and collect your Google Scholar publication data πŸ‘€

Just like that, we extracted 100 results in under a minute!

Succesful scraper run

Once the run has finished, you can preview the data by format before downloading it the Output table or in a new tab.

Export results of the Google Scholar Scraper

Now, click the Export button to view and download your Google Scholar publication data.

Here's how you can export your Google Scholar dataset
Here's how you can export your Google Scholar dataset!
Your Google Scholar dataset in JSONT
Google Scholar dataset in JSONT
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You can download and export Zillow data to Excel, JSON, CSV, and HTML.

That's it. You’ve learned how to scrape Google Scholar for your academic research! But there's more ‡️ 

πŸ“– Key takeaways on Google Scholar Scraper

πŸ” Extract publications metadata by search query

βŒ›οΈ Specify the time range for your search

πŸ“„ Filter out articles by document type: PDFs only or HTMLs only, All documents or Reviews only

πŸ“’ Set up sorting by date or relevance

⬇️ Export data in formats such as Excel, CSV, JSON, HTML

🦾 Use the API in Python and Node.js, API Endpoints, webhooks, and integrations with other apps

πŸ’Έ Is it free to scrape articles from Google Scholar?

You’ll get your price per scrape, which you’ll then multiply by the number of scrapes you intend to do. That's why the best way to find out how much scraping Google Scholar articles will cost is to run a test scrape with a small sample of input data and limited output.

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Apify provides you with $5 free usage credits to use every month on the Apify Free plan. That should be enough to give this scraper a test drive.

⁉️ FAQ

Can I integrate Google Scholar Scraper with other apps?

Google Scholar Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, LangChain, and more.

Do I need proxies for scraping Google Scholar?

Google Scholar Scraper may have limitations based on the volume of data you want to scrape. Some websites may have anti-scraping measures that could affect the scraping process.

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Pro tip: Use a proxy to get the best results.

Can I create my own Google Scholar scraper on your platform?

🚧 Yes, you can build your own scraper on the Apify platform in Python or JavaScript β€” either just for deployment or for full production. You can also make good use of our free web scraping library.

Scraping publicly available data is legal, but you need to be careful not to extract content that is protected by copyright or contains personal information. Read more about the legality of web scraping  ⬅️ here.

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Check out this related article on the Top 5 Google Scholar APIs to extract article data
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