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stalin

☭ Turn any website into a self-healing, typed JSON API you can query — with filters, or just ask in plain English. Local-first, MCP-native.

Install / Use

claude mcp add DreadpiratePickles -- npx -y github:DreadpiratePickles/stalin

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

75/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop

Our assessment of stalin

stalin scores 75/100 on our quality scale, 2603rd of 2,869 Automation skills we index.

Its MCP Server is 22 KB long, well organised into 25 sections with 19 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 20 days ago, so stalin is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

stalin compared with similar skills

All 4 of these similar skills score higher than stalin; compare them before choosing.

SkillScoreStarsUpdatedFormat
stalin (this skill)by DreadpiratePickles75320d agoMCP Server
Agent-Reachby Panniantong10091.8k20d agoCLAUDE.md
headroomby headroomlabs-ai10074.5ktodayCLAUDE.md
CowAgentby zhayujie10047.2ktodayCLAUDE.md
Scraplingby D4Vinci10085.9k1d agoMCP Server

Frequently asked questions

How do I install stalin?
Run claude mcp add DreadpiratePickles -- npx -y github:DreadpiratePickles/stalin. The install tabs above show the steps for each supported agent.
Which AI agents does stalin work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is stalin safe to use?
It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is stalin still maintained?
The repository was last updated 20 days ago, so stalin is actively maintained.
<div align="center">

☭ stalin

Turn any website into a self-healing, typed JSON API.

He seizes the means of extraction.

python license llm robots.txt

</div>

Every scraper you have ever written is already dead. It just doesn't know it yet. Some Tuesday, a frontend dev renames .score to .karma, your pipeline fills with nulls, and you find out three days later when a dashboard flatlines.

stalin does not tolerate this. You describe what you want in plain English, once. stalin compiles that into CSS selectors, watches them like a paranoid quartermaster, and when the website changes its layout — and it will — stalin detects the drift in microseconds, re-locates your data, proves the fix against five deterministic gates, and keeps shipping typed JSON like nothing happened. The selector was purged. The schema survives. The API never changes shape without your explicit order.

Your scraper doesn't break. It gets reeducated.

The 60-second demo

$ pip install stalin-scraper
$ stalin init
$ stalin add https://news.ycombinator.com -n stories \
    --item "each story row on the front page" \
    -f "title:    str  the headline text of each story
        url:      url  the link the headline points to
        points:   int | null  the upvote count
        comments: int | null  number of comments"

  ✓ fetched news.ycombinator.com  200 · 41 KB · 0.3s
  ✓ title        .titleline > a         verified 30/30  via heuristic · 2 fallbacks
  ✓ url          .titleline a @href     verified 30/30  via heuristic · 2 fallbacks
  ✓ points       .score                 verified 29/30  via heuristic · 2 fallbacks
  ✓ comments     .subline a:last-child  verified 30/30  via llm · 2 fallbacks

  ✓ wrote sources/stories.yml, .stalin/lock.json (schema v1.0.0, 8 fallbacks)

$ stalin run stories | jq '.items[0]'
{ "title": "Show HN: …", "url": "https://…", "points": 312, "comments": 148 }

$ stalin serve
  stalin API → http://127.0.0.1:8411
    GET /v1/stories        typed JSON, schema v1.0.0
    GET /openapi.json      OpenAPI 3.1
    GET /healthz           per-source status

And then — weeks later, when the site ships a redesign — the moment this tool exists for. This is a real transcript (demo site renamed every class and swapped <h2> for <div>):

$ stalin run stories

  ⚠ drift detected · stories.points
    selector  .score
    signals   zero-match

  ✓ heal title     .story .headline ──→ .story .hdr   via heuristic
  ✓ heal url       .headline a @href ──→ .hdr a @href  via heuristic
  ✓ heal points    .score ──→ .karma                   via heuristic
  ✓ heal comments  .comments ──→ .replies              via heuristic

  ✓ stories  20 items  schema v1.0.0  (4 fields healed)

$ stalin history stories
  11:16:16Z  ✓ heal points  .score ──→ .karma  via heuristic · zero-match
  11:16:28Z  ✓ confirmed points

Four fields, one redesign, zero human intervention, zero schema changes, milliseconds of healing. The comrades downstream consuming /v1/stories never noticed anything.

Why this exists

| | | |---|---| | 🩹 It never breaks silently | Five drift signals run on every scrape — including the nasty case where your selector still matches something, just the wrong something. Detection costs microseconds, not LLM calls. | | 📐 The schema is law | Fields are typed (int, url, datetime, list[str], enum[…]), validated through pydantic on every run, and versioned with semver. Healing may change where data comes from — never what shape it has. Breaking changes require an explicit stalin schema bump --major. Yes, it makes you type --major. That's the point. | | 🏠 Local-first, zero API keys | The healer runs on your machine through Ollama. No cloud, no per-token bill, no data leaving the building. | | 🧠 The LLM is optional | Compile and healing run a ladder: stored fallbacks → DOM-statistics heuristics → local LLM. On most pages the heuristics do everything in milliseconds and the model is never consulted. No Ollama at all? You still get full detection + alerting. |

Any website → a live, queryable API ⚡ new in 0.2

A static_feed gives you one fixed page as JSON. But most of the web you'd actually want as an API is parameterized — a search box, a profile page, a lookup by ID. stalin turns those into live typed endpoints. Put a {param} in the URL and give one example to compile against:

$ stalin add "https://quotes.toscrape.com/tag/{tag}/" -n quotes \
    --item "each quote block on the page" \
    --example tag=love \
    -f "text:   str        the quote text itself
        author: str        who said it
        tags:   list[str]  the topic tags on the quote"

  ✓ fetched quotes.toscrape.com/tag/love/  200 · 12 KB
  ✓ text    .quote .text   verified 10/10   via heuristic
  ✓ author  .author        verified 10/10   via heuristic
  ✓ tags    .tags .tag      verified 10/10   via heuristic
  live lookup — params: tag

That website has no API. It does now:

$ stalin run quotes --param tag=courage --json | jq '.count'
2

$ stalin serve
  GET /v1/quotes?tag=humor      # live, typed, on demand
  GET /openapi.json             # the param is a documented query parameter
$ curl 'http://127.0.0.1:8411/v1/quotes?tag=love' | jq '.items[0].author'
"André Gide"
$ curl 'http://127.0.0.1:8411/v1/quotes'          # missing required param
{"error": "missing required param(s): tag", "params": {"tag": "str"}}

And it becomes a typed tool for your agents. Every parameterized source is auto-exposed over MCP as lookup_<name>(param=…) with a generated input schema — so Claude (or any agent) calls lookup_quotes(tag="stoicism") and gets back schema-guaranteed JSON, no scraping code in the agent, no HTML in the prompt. That's stalin's answer to "why not just let the agent scrape?" — the tool's contract stays honest even as the site churns.

Lookups self-heal too — the hard version

A live lookup returns different content for every query, so "zero results" can mean the query was empty or the site broke. stalin distinguishes them: you declare a not_found signal for legitimately-empty pages (never healed against, same rule as block pages), and healing is anchored to a heal fixture — the known-good example params you compiled with. When a real query comes back unexpectedly empty, stalin re-verifies selectors against the fixture (stable, known structure), heals there, and re-applies the fix to your query. Per-query variation never gets mistaken for drift.

Proven live: pointed at a page, compiled, then renamed every CSS class and swapped the tags — the very next ?param=… request healed three fields against the fixture and returned correct typed data, in one round, no human touch.

What works today, honestly

live_lookup runs on static-HTML pages right now. Path params (/{id}/) and query params (?q=…) both work. What it does not do yet, and won't pretend to: JavaScript-rendered pages (the Playwright engine seam exists but isn't built), pagination/infinite-scroll, and anything behind a login or CAPTCHA — those stay refused, by design. It does public, unauthenticated, static surfaces. That covers a huge amount of "this site should've had an API" — and none of the stuff that gets you sued.

How healing works

drift detected on field F
  ├─ Rung 1: stored fallbacks          compile-time alternates, ~ms, no LLM
  ├─ Rung 2: heuristic re-location     DOM statistics scored against the
  │                                    field's fingerprint, ~ms, no LLM
  ├─ Rung 3: LLM re-location           local model, sentinel text protocol —
  │                                    works with any Ollama model
  └─ Rung 4: broken                    serve last-good data, exit 3, tell you

The proposers differ per rung. The judge never changes: every candidate selector faces five deterministic acceptance gates —

  1. Schema — every extracted value must cast to the declared type
  2. Cardinality — match counts must stay near the historical baseline
  3. Shape — values must match the field's learned value-pattern (or migrate to a consistent new one, which is recorded)
  4. Anchor — if an old known-good value still exists on the page, the new selector must capture it exactly (substring lookalikes are rejected)
  5. Disjointness & robustness — no annexing another field's selector, no position-brittle :nth-child(7) nonsense, no auto-generated class hashes

The LLM proposes. The gates dispose. No model opinion is ever trusted about its own output — every accepted heal was executed against the real DOM and survived all five gates. Accepted heals are applied immediately (data keeps flowing) but marked healed-unconfirmed until two clean runs promote them; a re-drift inside that window reverts the heal and flags the field instead of thrashing on A/B-tested sites.

Everything is recorded. git diff .stalin/lock.json shows every selector the healer has ever touched, and .stalin/history/*.jsonl is an append-only, line-per-event audit log. Rewriting history is for websites, not for your data pipeline.

Install

pip install stalin-scraper

Optional but recommended — a local model for the healing rung:

# any ollama model works; small ones are fine (the gates do the hard part)
ollama pull qwen3:1.7b

Then check your environment:

stalin doctor

Usage

| Command | What it does | |---|---| | stalin init | Scaffold a project (stalin.yml, sources/, .stalin/) | | stalin add <url> -n NAME -f "…" | Compile a new source: fetch → generate selectors → verify → save | | stalin add "<url/{param}>" --example param=v … | Compile a live_lookup: any templated URL → a queryable API | | stalin run SOURCE --param k=v | Run a live lookup for specific params | | stalin run SOURCE -w "f__op=v" --sort -f --fields a,b --limit N | Filter/sort/select/paginate results | | GET /v1/SOURCE?f__gt=1&sort=-f&fields=a,b&limit=N&q=… | Query over HTTP (see Query it) | | stalin ask SOURCE "plain-English question" | Let the local LLM compile a query for you | | stalin run [SOURCE…] | Extract now. Auto-heals on drift. JSON to stdout when piped | | stalin run --no-heal | Detect drift, report, exit 3 — never heal (CI mode) | | stalin heal [SOURCE[.FIELD]] | Force a heal pass (includes the LLM rung) | | stalin serve [--refresh 15m] | HTTP API over cached snapshots + OpenAPI 3.1 | | stalin watch | Foreground scheduler: run each source on its schedule: | | stalin mcp | MCP server on stdio — plug your sources into Claude/any agent | | stalin schema show/bump | Print the JSON Schema; explicitly version-bump the contract | | stalin history SOURCE[.FIELD] | The heal/drift/confirm timeline | | stalin snapshot SOURCE | Refresh the reference HTML snapshot | | stalin doctor | Environment + per-source health check |

Exit codes are a contract (cron/CI friendly): 0 ok · 1 config error · 2 fetch blocked · 3 drift unhealed (stale data served) · 4 schema contract breach.

Declaring a source

stalin add writes this file — or write it yourself and let stalin compile it:

# sources/stories.yml — the INTENT. Hand-editable, never touched by the healer.
name: stories
url: https://news.ycombinator.com
schedule: 15m
item: each story row on the front page      # natural language!
fields:
  title:
    type: str
    desc: the headline text of each story
  points:
    type: int | null
    desc: the upvote count; job postings have none

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated20d ago
Forks0

Languages

Python

Trust signals

92/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low