Gather data from websites
Multilingual metrics for the LMSys Arena Leaderboard
Open Agent Leaderboard
Generate a detailed dataset report
Analyze and visualize data with various statistical methods
VLMEvalKit Evaluation Results Collection
Evaluate diversity in data sets to improve fairness
View and compare pass@k metrics for AI models
Submit evaluations for speaker tagging and view leaderboard
Analyze and visualize Hugging Face model download stats
Visualize dataset distributions with facets
What happened in open-source AI this year, and what’s next?
Compare classifier performance on datasets
JEMS-scraper-v3 is a powerful data scraping tool designed to extract information from websites efficiently. It is built to handle both simple and complex web structures, making it a versatile solution for data gathering needs.
pip install jems-scraper-v3 in your terminal to install the package.from jems_scraper importScraper to your Python script.scraper.run() and wait for the data to be saved.1. How do I handle websites with JavaScript?
JEMS-scraper-v3 supports JavaScript rendering by integrating with headless browsers like Selenium or Puppeteer. Enable this feature in the settings to scrape dynamic content.
2. Can I use this tool for commercial purposes?
Yes, JEMS-scraper-v3 is open-source and free to use for both personal and commercial projects. Ensure compliance with website terms of service and local laws.
3. What formats can the scraped data be saved in?
The tool supports saving data in CSV, JSON, and Excel formats. Custom formats can also be added by extending the library.