Automation and scraping · Independent · 22 Oct 2026

spider-rs/spider

Foundational low latency web data collecting in Rust

← Automation and scraping
Spider: web crawler engine. Fast concurrent web scraping and crawling in Rust.

In simple English

This tool downloads web pages automatically at high speed. It can fetch raw text or run a hidden web browser to read pages built with complex code. You can use it to gather training data for artificial intelligence or monitor websites for changes. It runs on your own computer for free, or through an optional paid cloud service. You need some programming knowledge to set it up.

What it is

Spider is a concurrent web crawling engine that streams pages as they arrive and handles JavaScript rendering only when needed. It is available as a Rust library, a command-line tool, a Python package, a Node.js package, and an MCP server.

What it is good for

Solo builders who need to scrape thousands of web pages quickly to feed data into artificial intelligence models or track competitor pricing.

Stars2.8k
LicenceMIT
Latestv2.52.2 (2026-03-31)checked 22 Oct 2026
Last code change2026-10-20
Written inRust
Setup effort
3 / 5
Payoff
4 / 5
Good
  • Streams pages as they download instead of waiting for the entire crawl to finish.
  • Saves resources by using fast HTTP requests first and launching a browser only for pages that need JavaScript.
  • Provides bindings for Python, Node.js, and a command-line interface alongside the core Rust library.
Watch for
  • Requires familiarity with programming and the command line to configure and run.
  • Running headless Chrome for complex pages consumes significant memory and CPU.
  • Managed cloud features require a paid subscription to Spider Cloud.
Replaces

Writing custom web scrapers from scratch using basic HTTP libraries.

Works well with

An LLM vector store or a local database for saving scraped content.

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Install
cargo add spider

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Data & Research › Web Scraping & Crawling › Web Crawlers.

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