Maxun
Open-Source No-Code Web Data Extraction Platform

Maxun lets you train a robot in 2 minutes and scrape the web on auto-pilot. Web data extraction doesn't get easier than this!

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![maxun_demo](https://github.com/user-attachments/assets/a61ba670-e56a-4ae1-9681-0b4bd6ba9cdc) # Installation # How Does It Work? Maxun lets you create custom robots which emulate user actions and extract data. A robot can perform any of the actions: Capture List, Capture Text or Capture Screenshot. Once a robot is created, it will keep extracting data for you without manual intervention ![Screenshot 2024-10-23 222138](https://github.com/user-attachments/assets/53573c98-769e-490d-829e-ada9fac0764f) ### 1. Robot Actions 1. Capture List: Useful to extract structured and bulk items from the website. Example: Scrape products from Amazon etc. 2. Capture Text: Useful to extract individual text content from the website. 3. Capture Screenshot: Get fullpage or visible section screenshots of the website. ### 2. BYOP BYOP (Bring Your Own Proxy) lets you connect external proxies to bypass anti-bot protection. Currently, the proxies are per user. Soon you'll be able to configure proxy per robot. # Features - ✨ Extract Data With No-Code - ✨ Handle Pagination & Scrolling - ✨ Run Robots On A Specific Schedule - ✨ Turn Websites to APIs - ✨ Turn Websites to Spreadsheets - ✨ Adapt To Website Layout Changes (coming soon) - ✨ Extract Behind Login, With Two-Factor Authentication Support (coming soon) - ✨ Integrations (currently Google Sheet) - +++ A lot of amazing things soon! # Cloud We offer a managed cloud version to run Maxun without having to manage the infrastructure and extract data at scale. Maxun cloud also deals with anti-bot detection, huge proxy network with automatic proxy rotation, and CAPTCHA solving. If this interests you, [join the cloud waitlist](https://docs.google.com/forms/d/e/1FAIpQLSdbD2uhqC4sbg4eLZ9qrFbyrfkXZ2XsI6dQ0USRCQNZNn5pzg/viewform) as we launch soon. # Note This project is in early stages of development. We're actively working to improve the product. # Contributing Please refer to [Contribution Guide](https://github.com/amhsirak/maxun/blob/master/.github/CONTRIBUTING.md). # License

This project is licensed under AGPLv3.

# Contributors Thank you to the combined efforts of everyone who contributes!