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GitHub · D4Vinci/Scrapling↑ +606 today

Extract your data with flexible web scraping

Scrapling is an adaptable web scraping framework that can handle scale from a single request to large-scale crawling jobs. It aims to ensure high adaptability even if the page structure changes. It is Python based.

Updates

  • November 5, 2026: Stars 93,246 → 96,882, latest release v0.5.1 (November 4, 2026).
  • November 3, 2026: Stars 88,365 → 93,246, latest release v0.5 (October 17, 2026).
  • October 18, 2026: Stars 84,197 → 88,365, latest release v0.5 (October 17, 2026).
  • September 28, 2026: Stars 80,154 → 84,197, latest release v0.4.15 (August 23, 2026).

What you get

  • Comprehensive tool that can perform large-scale scanning with a single request.
  • Automatic adaptation to page changes.
  • Fast and open source structure.

Installation

Using pip (PyPI)
pip install scrapling

Installation (single command)

Paste this into your AI agent (Claude Code · Codex · Antigravity)

Help me install the open source web scraping library called Scrapling; Install it with 'pip install "scrapling[fetchers]"' and run the 'scrapling install' command, then let's extract the content of a web page to a Markdown file with the 'scrapling extract get https://example.com content.md' command.

Repository: https://github.com/D4Vinci/Scrapling. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forDevelopers scraping data
DifficultyMedium · Python
What offersAdaptive, scalable scraping
FeeFree · open source (BSD-3)
LicenseBSD-3-Clause · detail below
License: BSD-3-Clause · you may use it freely, modify it, make commercial use (retain copyright notice).

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-01: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.