AI Science Scout: Automated Research & Write Article Assistant (arxiv.org)
Brief
Are you spending hours manually collecting ArXiv search data—queries, results, paper titles, authors, abstracts, categories, and more? With millions of preprints, research papers, and academic resources to browse through, finding the right data or conducting research has become incredibly time-consuming for researchers, scientists, analysts, and academics.
BrowserAct automates the entire process. Extract structured data from ArXiv in minutes, not hours—no coding required.
What Does BrowserAct ArXiv Scraper Do?
Automatically extract comprehensive ArXiv resource data with our powerful ArXiv scraper tool. Capture paper titles, abstracts, authors, publication dates, categories, citation counts, PDF links, and related papers from any ArXiv page. Enjoy flexible filtering and output options for comprehensive market analysis—no coding required.
Our ArXiv scraper is built for seamless integration with automation platforms like Make.com, making it ideal for ongoing monitoring and competitive intelligence tasks.
What Data Can I Extract from ArXiv?
With BrowserAct's ArXiv Scraper, you can pull a wide range of publicly available data for analysis. Here's a breakdown:
ArXiv Search Results & Features
- Paper titles
- Abstracts and summaries
- Authors and affiliations
- Publication dates
- Categories and subjects
- Citation counts
- PDF and source links
- Related papers and versions
Key Features of ArXiv Scraper
- Customizable Parameters: Adjust extraction scope to match your research needs
- Flexible Selection: Set max items for bulk extraction across multiple pages
- Comprehensive Data Capture: Extracts complete search profiles with all metadata
- Structured Output: Preserves data relationships for easy analysis
- Multi-Page Support: Compatible with search results, category pages, and paper listings
- Automation-Ready: Seamlessly integrates with Make.com and other platforms
How to Scrape ArXiv
Quick Start Guide: How to Use ArXiv Scraper in One Click
If you want to quickly start experiencing scraping ArXiv, simply use our pre-built "ArXiv Scraper" template for instant setup and start scraping ArXiv effortlessly.
- Register Account: Create a free BrowserAct account using your email
- Configure Parameters: Fill in necessary inputs like Target_url (e.g., "https://arxiv.org/search/?query=example") – or use defaults to learn how to scrape ArXiv quickly
- Start Execution: Click "Start" to run the workflow
- Download Data: Once complete, download the results file from ArXiv scraping
How to Build an ArXiv Scraper Workflow: Step by Step
ArXiv Scraper workflow building with BrowserAct requires no coding skills—it's automation-ready and easy to set up. Follow these step-by-step instructions to get started.
- Determine Your Scope
Decide the number of results to extract (e.g., 50 results with complete details). Adjust parameters based on your research needs.
- Start Node Parameter Settings
- arXiv_Link: Enter your ArXiv link (e.g., https://arxiv.org/search/)
Note: Customize based on needs—works with search results, category pages, or paper listings.
- Visit Page
In the prompt box, enter Visit / arXiv_Link – this will navigate to the target URL.
- Add Extract Data
In the prompt box, enter:
Extract name/title and add it to "Name"
- add Authors to "Authors"
- add Abstract to "Abstract"
- Add link to the item to "URL"
Note: You can specify the exact location of the data to be collected on the page to increase the accuracy of data extraction.
- Output Data
Export in JSON, CSV, XML, or Excel formats.
Key Benefits of ArXiv Scraper
ArXiv Scraper offers a range of advantages that make data extraction simple, efficient, and powerful. Here's why it's a top choice for ArXiv web scraping:
✅ No Coding Required: Set up and run extractions effortlessly without any programming skills—perfect for beginners and pros alike
✅ Customizable and Flexible: Adjust parameters like item limits, data fields, and target URLs to tailor results to your exact needs
✅ Structured Data Output: Maintains organized data in structured formats (e.g., JSON, CSV, Excel) for easy analysis and integration
✅ Automation Integration: Seamlessly works with Make, n8n, and other platforms for scheduled, hands-off web scraping
✅ Cost-Effective: Start with free trials for small-scale tasks, scaling affordably for larger datasets while respecting ArXiv's policies
✅ Accurate and Reliable: Handles automatic page loading, uses 'N/A' for missing data, and includes rate limit handling to ensure consistent results
These benefits make ArXiv Scraper an efficient tool for turning raw ArXiv data into actionable insights.
Who Can Use ArXiv Scraper?
ArXiv Scraper is designed for anyone needing quick, reliable access to ArXiv data. It's ideal for a variety of users, including:
- Researchers & Scientists: Discover relevant papers and track academic trends
- Academics & Professors: Analyze publication patterns and author networks
- Students & Learners: Conduct literature reviews and identify key resources
- Digital Libraries & Curators: Manage content recommendations with comprehensive paper data
- Market Researchers & Analysts: Extract data for trend analysis and innovation intelligence
- AI & ML Developers: Gather insights on cutting-edge models and datasets
- Small Labs & Startups: Conduct affordable research without needing advanced technical skills
- Librarians & Information Specialists: Research scholarly trends and repository ecosystems
No matter your background, if you're looking to scrape ArXiv without hassle, this tool is accessible and effective for both individuals and teams.
Use Cases for ArXiv Scraper
ArXiv Scraper is versatile for various real-world applications. Here are some key ways to use it for extracting and analyzing ArXiv data:
📊 Academic Research: Collect data on papers, abstracts, and categories for informed literature reviews
🔍 Literature Intelligence: Scrape related papers to identify connections, citations, and research gaps
💰 Funding Analysis: Track publication trends and compare output across fields/authors
⭐ Quality Assessment: Analyze download counts and update histories to identify influential works
🔄 Publication Monitoring: Track new submissions and version updates in specific subjects
🛠️ Resource Selection: Build comprehensive bibliographies to select the best papers for your projects
📈 Trend Tracking: Monitor emerging fields and popular topics in the ArXiv ecosystem
🎯 Author Research: Identify prolific researchers and assess their portfolios
Whether for one-off projects or ongoing monitoring, ArXiv Scraper helps transform ArXiv data into valuable insights.
Make.com Integration
BrowserAct's ArXiv Scraper is now available as a native app on Make.com—add it to your scenarios without API hassle.
✅ Automation-Ready: Integrate with Make, n8n, or others for scheduled monitoring
✅ Rate Limit Handling: Built-in delays to comply with ArXiv policies
✅ Multi-Category Tracking: Run instances for different subjects, authors, or date ranges
💡 Use Case Tip: Ideal for literature reviews, trend alerts, and research with complete paper metadata
🚀 Quick Start with Make.com: Search for "BrowserAct" in Make.com's app directory and add it directly—no complex setup
Ready to Transform Your ArXiv Data Collection?
Stop wasting hours on manual data collection. Start scraping ArXiv papers, abstracts, and trends in minutes with BrowserAct's AI-powered automation.
Try BrowserAct Free → https://www.browseract.com/
No credit card required. Get started in under 5 minutes.
Popular Use Cases:
- 🛍️ Researchers building literature databases
- 💻 Academics analyzing publication trends
- 📊 Analysts tracking field evolutions
- 🏢 Labs managing resource curation
- 🚀 Students performing thesis research
Start Your Free Trial → https://www.browseract.com/template?page=3
Need Help?
Contact us at:
- 📧 Discord: https://discord.com/invite/UpnCKd7GaU
- 💬 E-mail: service@browseract.com
What can we do for you