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Introduction to RTILA X

RTILA X is a local-first, AI-powered web automation platform that runs entirely on your own computer. It lets you record, build, and run browser automations — clicking buttons, filling forms, scraping data, crawling websites — without writing a single line of code.

The name “RTILA” comes from the Moroccan Darija word for “spider,” reflecting the software’s core ability to crawl the web and extract data.

RTILA X main dashboard showing the sidebar navigation, project list, and welcome screen with the spider logo

Feature RTILA X Typical Cloud Scrapers
Runs 100% locally ✅ All processing on your machine ❌ Data sent to cloud servers
AI-powered building ✅ Describe what you want in plain English ❌ Manual configuration only
Standalone bot export ✅ Package automations as sellable executables ❌ Locked to the platform
Anti-bot evasion built in ✅ Humanoid mouse, proxies, CAPTCHA solving ❌ Requires separate tools
Checkpoint & resume ✅ Survives crashes and network drops ❌ Starts over on failure
30+ data destinations ✅ Databases, cloud storage, BI tools, email, and more ❌ Limited export options
Free tier available ✅ Free forever with 1 project ❌ Usually paid only
  • Scrape any website — product listings, prices, reviews, contacts, job listings, and more
  • Automate form filling — logins, multi-step forms, sign-ups
  • Monitor changes — track price changes, content updates, stock levels
  • Crawl entire websites — follow links across pages and extract structured data
  • Build and sell bots — package your automations as standalone executables for clients
  • Trigger downstream pipelines — send scraped data to databases, cloud storage, BI dashboards, or messaging tools automatically
Requirement Minimum Recommended
OS Windows 10, macOS 11+, Ubuntu 22.04+ Latest version
RAM 4 GB 8 GB+
Disk 2 GB free 10 GB+
Browser Microsoft Edge, Brave, or Google Chrome installed Microsoft Edge (recommended)

For Local AI features: Add 4–6 GB RAM for 7B–8B parameter models. For larger models, 16 GB+ RAM and a dedicated GPU are recommended.

  • Windows 10/11 (including Server editions 2019+)
  • macOS (Apple Silicon M1/M2/M3/M4; Intel Mac)
  • Linux/Ubuntu (requires full Desktop GUI, preferably GNOME)

Download page showing the three platform download buttons — Windows, Mac, Linux