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Make: Makezine Maker Project Scraper

FOR CREATORSEDUCATION

Independent tool. Trademarks referenced on this page are the property of their respective owners and are used only to identify the public website this tool reads. No affiliation or endorsement.

Make: Makezine Maker Project Scraper

Extract structured metadata from all curated maker projects published on Makezine.com — the flagship publication for DIY makers, hackers, and craft enthusiasts.

What it does

Crawls all ~2,600 project pages across Makezine's dedicated project sitemaps and extracts per-project metadata: title, author, category, tags, tools list, materials list, excerpt, publish date, thumbnail, and project URL. No subscription required — all metadata is publicly accessible.

Output fields

Field Type Description
project_id string Stable slug-based project identifier
title string Project title
author string Author name
slug string URL slug
category string Project category (from articleSection, e.g. "Woodworking, Workshop")
tags string[] Keywords / tags
tools_summary string[] List of tools required
materials_summary string[] List of materials/parts required
excerpt string Short project description
published_at string ISO 8601 publish date
thumbnail_url string Project thumbnail image URL
project_url string Canonical project page URL

Use cases

  • Maker content datasets — Train or augment LLMs / recommendation systems on curated DIY project content
  • Research — Analyze maker trends, popular tools, category distributions across 15+ years of publications
  • Instructables complement — Pair with the Instructables scraper for a curated + UGC maker dataset
  • SEO / content analysis — Track which categories and tags dominate Make: magazine's editorial catalog

Input

Parameter Type Default Description
maxItems integer 10 Maximum number of project records to scrape. Set to 0 for all ~2,600 projects.

Notes

  • Covers woodworking, electronics, craft, science, photography, food, furniture, and more
  • Tools and materials lists may be empty on older projects that predate the structured sidebar format
  • Full corpus run (~2,600 projects) takes approximately 10 minutes at default concurrency