Gather data from websites
Analyze data using Pandas Profiling
Search and save datasets generated with a LLM in real time
Create a detailed report from a dataset
Execute commands and visualize data
Analyze and visualize car data
Explore and submit NER models
View and compare pass@k metrics for AI models
Explore token probability distributions with sliders
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Generate benchmark plots for text generation models
Generate a detailed dataset report
Analyze weekly and daily trader performance in Olas Predict
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.