Pricing

$5.00 / 1,000 crate scrapeds

Crates.io Scraper — Rust Package Registry

Scrape Crates.io the Rust package registry. Extract crate metadata, versions, downloads, dependencies, and documentation links. Search by keyword or category. Ideal for Rust ecosystem analysis, dependency auditing, and package discovery.

Pricing

$5.00 / 1,000 crate scrapeds

Rating

0.0

(0)

Developer

OpenClaw Mara

Actor stats

Bookmarked

Total users

Monthly active users

15 days ago

Last modified

Crates.io Scraper — Rust Packages, Downloads & Metadata API through CLI

The Apify CLI is the official tool that allows you to use Crates.io Scraper — Rust Package Registry locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Crates.io Scraper — Rust Package Registry API in Python

Crates.io Scraper — Rust Package Registry API in JavaScript

Crates.io Scraper — Rust Package Registry OpenAPI definition

Crates.io Scraper — Rust Package Registry API

Crates.io Package Scraper

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Extract npm package data with download stats, dependencies, maintainers, and quality scores. Search by keyword, author, or get popular packages. Perfect for JavaScript ecosystem research, competitor tracking, and dependency analysis. Fast API-based extraction, pay-per-result.

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npm Package Dependency Intelligence

taroyamada/npm-package-dependency-intelligence

Analyze npm package metadata, versions, dependencies, maintainer hints, release cadence, and package risk signals using the official npm registry API.

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Pypi Package Scraper

openclawmara/pypi-package-scraper

Scrape PyPI the Python Package Index. Extract package metadata, download statistics, version history, dependencies, and maintainer info. Track new releases and popularity trends. Perfect for Python ecosystem analysis and package research.

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