Bonsai-27B-GGUF
lmstudio-community · Kit
A GGUF conversion of the 27B Bonsai model for LM Studio, with a 3.80 GB Q1_0 language file and a 0.93 GB BF16 vision projector. Tested for text, vision and par…

This Python web scraping framework combines fast HTTP requests, browser automation, and data parsing into one library. It includes an MCP server for AI agents to collect data, render JavaScript, and manage concurrent crawling tasks.
Scrapling is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.
git clone https://github.com/D4Vinci/Scrapling.git cd Scrapling
Scrapling is a Python web scraping framework. It combines fast HTTP requests, stealth browsers, parsing tools, and concurrent crawling into a single library. You can scrape static pages, render JavaScript, interact with sites, and extract data from backend API calls.
This framework helps developers who need to scrape data or build web-connected AI agents.
Run these in a terminal:
# Copy the project to your computer git clone https://github.com/D4Vinci/Scrapling.git # Go into its folder cd Scrapling
You can use the fetcher class for HTTP requests or create spiders to manage concurrent crawls. The library includes templates for sitemap crawling, link following, and data extraction.
If you are new to scraping, you can start by fetching a single page and printing its text. Experienced users can build spiders with concurrent crawling, automatic retries, and pause or resume functionality.
This Python web scraping framework combines fast HTTP requests, browser automation, and data parsing into one library. It includes an MCP server for AI agents to collect data, render JavaScript, and manage concurrent crawling tasks.
Made by D4Vinci on GitHub. These notes are Minda's, written from its README; the project's own files and license are in its repository.
What it is: Scrapling is a Python web scraping framework. It combines fast HTTP requests, stealth browsers, parsing tools, and concurrent crawling into a single library. You can scrape static pages, render JavaScript, interact with sites, and extract data from backend API calls.
Who it suits: This framework helps developers who need to scrape data or build web-connected AI agents.
Where to use it:
How to set it up:
How to use it: You can use the fetcher class for HTTP requests or create spiders to manage concurrent crawls. The library includes templates for sitemap crawling, link following, and data extraction.
For newcomers and experts: If you are new to scraping, you can start by fetching a single page and printing its text. Experienced users can build spiders with concurrent crawling, automatic retries, and pause or resume functionality.
Good to know:
git clone https://github.com/D4Vinci/Scrapling.git
Then follow the setup in its README. Nothing in this kit runs by itself.
README.md 3 KB
Listed GitHub projects in the same category that share the most topics with this one.
| Product | Stars | Activity | Language | License | Last change |
|---|---|---|---|---|---|
| Scrapling This page | 99,911 | Active | Python | BSD-3-Clause | |
| Crawl4AIShares crawler · data-extraction · playwright | 87,016 | — | — | Apache-2.0 | — |
| 闲鱼智能监控系统Shares playwright · automation · ai | 18,425 | Quiet | Python | MIT | |
| Chrome DevTools for agentsShares mcp-server · mcp | 55,482 | Active | TypeScript | Apache-2.0 | |
| agent-desktopShares automation · mcp | 19,705 | Active | Rust | Apache-2.0 | |
| BLA: Blind LLM AgentsShares mcp-server · mcp | 2,486 | Active | TypeScript | MIT |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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