medium-sub
OfficialFetch Medium recommended lists by tag.
Content & Communication#web scraping#playwright#medium#content pipeline#json stdout#recommended articles#tag grouping
Authorbeatai-org
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Medium recommended pages are hard to scrape manually across many tags, and you need a clean, structured candidate list quickly for downstream processing.
Core Features & Use Cases
- Tag-based recommended fetch: Retrieves candidate articles from https://medium.com/tag/<tag>/recommended for a configured set of Medium tag slugs.
- Deterministic stdout JSON output: Emits a single JSON document to stdout containing per-tag grouped article cards (title, cleaned URL, published date, author).
- Fetch-only scope for pipelines: Designed to be a pure fetcher that does not write files, apply daily limits, or cross-day deduplication—those responsibilities belong to the caller (e.g., material-pipeline).
Quick Start
Ask the system to run medium-sub with tags ai,llm and print the resulting candidate JSON to stdout.
Dependency Matrix
Required Modules
playwright
Components
scripts
đź’» Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: medium-sub Download link: https://github.com/beatai-org/beatai/archive/main.zip#medium-sub Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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