Unlock the potential of the Google Scholar scraper tool! πβ¨ Easily collect academic papers based on your chosen keyword or research topic π. Get essential details like the title π, author(s) ποΈ, publication date β°, journal/source π, and direct links to full texts πβideal for researchers ! π
This Google Scholar Scraper allows you to retrieve academic articles based on your search query π, with customizable filters including preferred language π, country πΊπΈ, and the maximum number of items to extract π’.
This tool enables you to extract academic papers from Google Scholar on any specific topic or search term π£οΈ, including key details such as the article title π, authors π¨βπ¬, publication year π , source π, and the direct article link π.
Simply specify your search queryβwhether itβs a topic π§ , keyword π, or author π©βπ¬βand get the latest academic papers related to your interests π.
The Google Scholar Scraper is your go-to tool for extracting the latest academic articles in real time π. Just input a topic, keyword, or author, and get tailored results with adjustable filters π οΈ. You can choose your preferred language π and specify the country π for more localized results.
Retrieve detailed information on each article, such as titles π, authors π¨βπ¬, publication year π , sources π, and direct links to the full article π. Whether youβre tracking the latest research in a specific field π§ or exploring works from particular authors, this scraper provides a fast and efficient way to stay informed!
There is no limit to the number of results you can extract π.
You can extract as many academic articles as needed, depending on your query and filters π.
Unlimited Results π’: Extract as many academic articles as you need, with no limit on the number of available results.
Customizable Time Filters β³: Choose the most recent results or explore articles within a specific time period.
Language Preferences π: Retrieve articles in your preferred language for more relevant results.
Country Selection πΊπΈπ: Focus your search on specific countries for more localized results.
Detailed Article Info π: Extract key details such as the article title, authors, publication year, and direct link to the article π.
Search Flexibility π: Specify any topic, keyword, or author to find articles related to your query.
This scraper operates on a monthly subscription basis, priced at $18.99/month.
Using this Google Scholar Scraper is simple and intuitive! It's designed for users of all skill levels. Follow these easy steps to get started:
And thatβs it! Youβll have all the latest academic articles ready to explore.
1π Exploring academic topics and conducting literature surveys 2π§βπ¬ Building profiles for researchers and scholars 3π Analyzing citation patterns and bibliometric trends 4π Evaluating performance metrics for educational and research institutions 5π Monitoring shifts in scientific publishing
The scraper accepts various parameters to customize the scraping process. Hereβs how to structure your input JSON:
1{ 2 "country": "Any π", 3 "keyword": "Artificial Intelligence", 4 "language": "English", 5 "maxitems": 30 6}
Once the extraction is finished, the data will be stored in a dataset. You can download this data in various formats (JSON, CSV, XML, RSS, HTML Table).
1{ 2 "Id": 1, 3 "Title": "The rise of socialbots", 4 "Authors & Year": "E Ferrara, O Varol, C Davis, F Menczerβ¦ - Communications of theβ¦, 2016", 5 "Source": "dl.acm.org", 6 "Snippet": "β¦ One of the greatest challenges for bot detection in social media is in understanding what modern socialbots can do. Early bots mainly performed one type of activity: posting content β¦", 7 "Link": "https://dl.acm.org/doi/abs/10.1145/2818717", 8 "PDF Link": "https://dl.acm.org/doi/pdf/10.1145/2818717", 9 "Domain": "dl.acm.org", 10 "Cited_by": "N/A", 11 "Versions": "18" 12}, 13{ 14 "Id": 2, 15 "Title": "Detection of bots in social media: a systematic review", 16 "Authors & Year": "M Orabi, D Mouheb, Z Al Aghbari, I Kamel - Information Processing &β¦, 2020", 17 "Source": "Elsevier", 18 "Snippet": "β¦ Another example is chatbots. These bots play significant roles in limiting the need for humansβ¦ to detect non-malicious bots, this review will only consider the types of bots that follow the β¦", 19 "Link": "https://www.sciencedirect.com/science/article/pii/S0306457319313937", 20 "PDF Link": "N/A", 21 "Domain": "www.sciencedirect.com", 22 "Cited_by": "N/A", 23 "Versions": "3" 24}
If you're interested in other Google, social media scraper or real estate Actors:
You can even apply sentiment analysis on the contents text we've extracted! ππ:
If you'd like to add a specific country not listed here, feel free to contact us π©, and we'd be happy to assist!
Yes, you can use the Apify API with Python.
To access the Google Scholar API with Python, use the apify-client PyPI package. You can find more details about the client in our Python Client documentation.
π Leave us a star β if you are satisfied with the product! π For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper πͺοΈπ©οΈ
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool β just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youβll be guided to input a search term and get structured results. No setup needed!