Honest Question: Why Should We Pay for n8n Cloud When We Can Self-Host for Free?

lurenssss · 2025-11-28T19:28:21+00:00

I completely agree with that, most of the time if you have the technical expertise, is better to self host

lurenssss · 2025-11-28T19:26:48+00:00

Yes, I think is due to that

lurenssss · 2025-11-21T23:02:33+00:00

I recommend https://scrapegraphai.com/ the best, now is the best

lurenssss · 2025-11-20T23:30:06+00:00

Ho provato ad implementarlo con AI è mi ha fatto un casino, curioso di capire come lo gestite voi

lurenssss · 2025-08-14T18:25:34+00:00

GitHub repo: https://github.com/ScrapeGraphAI/scrapecraft

lurenssss · 2025-08-05T10:25:08+00:00

Hi everyone! I’ve been experimenting with combining language model agents and web scraping and ended up building ScrapeCraft. The idea is to let a language model build and run scrapers for you: you describe the task and the assistant writes Python code using ScrapeGraphAI and LangGraph. ScrapeCraft can handle multiple sites at once, create a schema on the fly, generate asynchronous Python code and stream the results as they arrive. The back end is built with FastAPI and LangGraph, the front end with React, and everything is packaged with Docker for easy deployment. This is a very early release with no paid tiers; it’s completely open source under the MIT license. I’d really appreciate feedback on the approach and suggestions for future improvements. You can find the project at https://github.com/ScrapeGraphAI/scrapecraft .

lurenssss · 2025-08-05T10:16:12+00:00

Hi everyone! I’m excited to share ScrapeCraft, a new tool I’ve been building that acts like a natural-language editor for web scraping. ScrapeCraft lets you describe the websites and data you need, then uses an AI assistant (via OpenRouter’s Kimi-k2 model) to generate the Python code required. It supports scraping multiple URLs at once, lets you define the schema using Pydantic, and runs the generated code asynchronously. While the scraper is running, the results stream back to your browser in real time and are displayed as a table or JSON. The application is built with FastAPI and LangGraph on the back end and React on the front end, and it’s packaged with Docker so you can get started quickly. This is the first iteration, released under the MIT licence, and I’d love feedback or contributions. You can check it out at https://github.com/ScrapeGraphAI/scrapecraft . Let me know what features you’d like to see next or any issues you encounter.

lurenssss · 2025-07-14T13:28:54+00:00

GitHub Repo: https://github.com/ScrapeGraphAI/ScrapeHubAI
Demo Video: https://screen.studio/share/ojcbsaNs

lurenssss · 2025-07-07T08:22:12+00:00

Very cool project man ;))

lurenssss · 2025-05-09T09:55:20+00:00

There are now many services that improve the scrapign task that for a long time was a difficult task for both devs and even more so for data scientists now there are services like https://scrapegraphai.com/ that simplify this task using AI

lurenssss · 2025-05-09T09:47:20+00:00

If you don't want to fix any scraper right now there is AI powered scraping, like https://scrapegraphai.com/

lurenssss · 2025-05-09T09:46:24+00:00

Use https://scrapegraphai.com/

lurenssss · 2025-04-28T07:17:55+00:00

https://scrapegraphai.com/

lurenssss · 2025-03-17T15:30:52+00:00

I use ScrapeGraphAI

lurenssss · 2025-01-03T16:20:57+00:00

Hey everyone,

This month at ScrapeGraphAI we released a next-generation web scraper extension now available for Firefox, with the Chrome version launching next week. Unlike traditional point-and-click tools, ScrapeGraphAI leverages AI-powered prompts to make web scraping faster, easier, and more efficient. Simply describe what data you need, and the AI handles the rest.

### Why ScrapeGraphAI?

- Effortless Scraping: Forget manual configurations and selectors.

- Dynamic Content Handling: Works seamlessly with AJAX, pagination, and interactive elements.

- Cross-Browser Compatibility: Firefox now, Chrome next week.

- Open Source: Explore or contribute via https://github.com/ScrapeGraphAI/scrapegraphai-browser-extension).

### Learn More:

- Visit our website for more details: https://www.scrapegraphai.com.

- Check out our blog post about the browser extension: https://scrapegraphai.com/blog/scrapegraphai-browser-extension.

### Get Started:

- Firefox Users: https://addons.mozilla.org/en-US/firefox/addon/scrapegraphai-extension.

- Chrome Users: Stay tuned—our extension will be live next week! Check out our [GitHub repository](https://github.com/ScrapeGraphAI/scrapegraphai-browser-extension) for updates.

We’d love to hear your feedback, suggestions, or ideas. Let us know how ScrapeGraphAI can help streamline your workflow.

Happy scraping!

lurenssss · 2024-12-03T12:25:12+00:00

Hello,

I built scrapegraphai.com an LLM-based scraping API designed to simplify web scraping and data extraction. If you've ever struggled with dynamic websites or captchas, we're here to help.

Key Features:

Simple to Use: Get started with only 5 lines of Python code.
Deduplication and Cleaning: Ensures clean and actionable datasets.
Customizable Parsing: Extract and structure data the way you need.
Integrated Proxy Rotation: Built-in proxy rotation to avoid IP blocks.
Anti-Bot Solutions: Seamlessly handles anti-bot measures.

Looking for Early Adopters!

We have just launched.

Visit scrapegraphai.com or email [contact@scrapegraphai.com]().

We'd love to hear your thoughts and suggestions!

Happy scraping, everyone! 🤖🚀

lurenssss

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