The Easiest Way To Extract Web Data With No Code
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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https://github.com/user-attachments/assets/c6baa75f-b950-482c-8d26-8a8b6c5382c3
### Getting Started
The simplest & fastest way to get started is to use the hosted version: https://app.maxun.dev. You can self-host if you like!
### Installation
Maxun can run locally with or without Docker
1. [Setup with Docker Compose](https://docs.maxun.dev/installation/docker)
2. [Setup without Docker](https://docs.maxun.dev/installation/local)
3. [Environment Variables](https://docs.maxun.dev/installation/environment_variables)
### Upgrading & Self Hosting
1. [Self Host Maxun With Docker & Portainer](https://docs.maxun.dev/self-host)
2. [Upgrade Maxun With Docker Compose Setup](https://docs.maxun.dev/installation/upgrade#upgrading-with-docker-compose)
3. [Upgrade Maxun Without Docker Compose Setup](https://docs.maxun.dev/installation/upgrade#upgrading-with-local-setup)
### 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.
1. Capture List: Useful to extract structured and bulk items from the website.
2. Capture Text: Useful to extract individual text content from the website.
3. Capture Screenshot: Get fullpage or visible section screenshots of the website.
### Sponsors

LambdaTest
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CyberYozh App
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### 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
- ✨ Extract Behind Login
- ✨ Integrations
- ✨ MCP
### Use Cases
Maxun can be used for various use-cases, including lead generation, market research, content aggregation and more.
View use-cases in detail here: https://www.maxun.dev/#usecases
### Screenshots









### Note
This project is in early stages of development. Your feedback is very important for us - we're actively working on improvements.
### License
This project is licensed under AGPLv3.
### Support Us
Star the repository, contribute if you love what we’re building, or [sponsor us](https://github.com/sponsors/amhsirak).
### Contributors
Thank you to the combined efforts of everyone who contributes!