Scrapling
★ 70.3k
vs
gum
★ 29
Scrapling vs gum
Scrapling: Scrapling is an adaptive Python web scraping framework designed for effortless data extraction from the modern web, capable of handling everything from single requests to full-scale, concurrent crawls. It features advanced anti-bot bypass, intelligent element relocation, and comprehensive session management with built-in proxy rotation and AI integration.; gum: gum is a single binary CLI tool designed to provide a safer and more efficient interface for agents and humans to interact with Google APIs. It features an embedded API catalog, local authentication helpers, and risk gates, significantly reducing the complexity and token usage associated with direct Google API interactions.
01
TL;DR
Choose Scrapling if…Performing single web requests or launching full-scale, concurrent web crawls.
Choose gum if…Allowing AI agents to safely inspect and interact with Google Workspace services like Gmail, Drive, and Calendar.
02
Side-by-Side Comparison
03
Features
Scrapling01Full-featured crawling framework with Scrapy-like API, concurrent requests, multi-session support, and pause/resume functionality.
02Advanced fetchers with anti-bot bypass, dynamic loading, persistent session management, and integrated proxy rotation.
03Adaptive scraping capabilities with smart element tracking and flexible selection methods, including AI integration via MCP server.
04High-performance and memory-efficient architecture, optimized for speed and battle-tested in production environments.
gum01Provides a safer control surface for Google APIs with built-in risk gates and confirmations.
02Includes an embedded Google API catalog of 222 operations across 32 services.
03Manages local authentication (OAuth, ADC, API keys) without exposing tokens in prompts.
04Optimizes output shaping and reduces MCP-layer tokens by over 80% for agent interactions.
05Operates as both a terminal CLI and an MCP stdio server for agent integration.
04
Use Cases
Scrapling↳Performing single web requests or launching full-scale, concurrent web crawls.
↳Adapting to website design changes by automatically relocating scraped elements.
↳Bypassing advanced anti-bot systems such as Cloudflare Turnstile.
↳Scaling up to multi-session crawls with proxy rotation and checkpoint-based persistence.
↳Leveraging AI for assisted web scraping and targeted data extraction.
gum↳Allowing AI agents to safely inspect and interact with Google Workspace services like Gmail, Drive, and Calendar.
↳Automating tasks and workflows involving various Google APIs (e.g., Admin, Vault, Google Ads) without custom tool development.
↳Securely managing and using Google API credentials in agent-driven workflows, keeping secrets out of prompts.
↳Developers and power users exploring Google API operations and making read/write/destructive calls from the command line.
05
Best For
ScraplingMost PopularBrowser AutomationData Processing
gum—
FAQ
FAQ
What is the difference between Scrapling and gum?
Both Scrapling and gum are in the Browser Automation category. Scrapling has 70.3k stars, while gum has 29 stars.
Which is better, Scrapling or gum?
The best choice depends on your use case. Choose Scrapling if Performing single web requests or launching full-scale, concurrent web crawls., and gum if Allowing AI agents to safely inspect and interact with Google Workspace services like Gmail, Drive, and Calendar..
Is Scrapling free or open source?
Yes, Scrapling is open source on GitHub (BSD-3-Clause).
Is gum free or open source?
Yes, gum is open source on GitHub (NOASSERTION).
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