Marketscreener

Community

gauss314

marketscreener

Scraper de MarketScreener (S&P Capital IQ): earnings transcripts, cotizaciones, perfiles empresa, financials, valuation, consenso analistas, noticias, insider trading, ratings. Sin API key.

Overview

Publisher	gauss314
Repository	`skills`
Skill name	`marketscreener`
Stars	250
Forks	35
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by gauss314 on GitHub. Read the source before you install it.

Installation

Install the Marketscreener AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/gauss314/skills/tree/main/skills/marketscreener
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/gauss314/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/marketscreener .claude/skills/marketscreener

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Marketscreener in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Marketscreener on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Marketscreener is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MarketScreener — Datos Financieros y Earnings Transcripts Globales

Scraper de MarketScreener (plataforma de S&P Capital IQ) que accede a datos gratuitos sin registro: earnings transcripts, cotizaciones, perfiles, financials históricos, valuación, consenso de analistas, noticias, insider trading y ratings.

URL base: https://www.marketscreener.com País soportado: Global (20,000+ stocks, ADRs argentinos incluidos) Requiere registro: ❌ No, todo es scraping directo

⚠️ Lo que MarketScreener ofrece GRATIS (sin registro)

Funcionalidad	Disponible Gratis	Requiere Pago
Earnings Transcripts (contenido completo)	—	🔒 Premium
Earnings Transcripts (listado con fechas, quarters, URLs)	✅	—
Cotizaciones (hasta 15 min retraso)	✅	—
Perfil de empresa (descripción, sector, empleados, web)	✅	—
Datos financieros (Income Statement, Balance Sheet, Cash Flow)	✅ (años recientes)	🔒 Más años
Valuación (PE, PB, EV/EBITDA, market cap, dividend yield)	✅	—
Consenso de analistas (target price, recomendaciones, revisiones)	✅	—
Ratings (Surperformance Score: Trader, Investor, Global)	✅	—
Noticias (histórico completo)	✅	—
Calendario (earnings, dividends, splits, AGM)	✅	—
Insider Trading (transacciones de ejecutivos)	✅	🔒 Más detalle
Accionistas (top shareholders)	✅	🔒 Lista completa
Gobierno corporativo (board, management)	✅	—
Gráficos (históricos, velas, indicadores técnicos)	✅	—
Búsqueda de símbolos	✅	—
Screener avanzado	—	🔒 Premium
Datos financieros históricos >3 años	—	🔒 Premium

Cobertura

Tipo	Cobertura
Stocks US	✅ Todas (AAPL, MSFT, etc.)
ADRs argentinos	✅ GGAL, TGS, BMA, YPF, PAM, etc.
Stocks globales	✅ Europa, Asia, Latinoamérica
ETFs	✅
Índices	✅
Bonos	❌ No disponible
Forex / Crypto	❌ No disponible

Autenticación

No requiere API key ni registro. Todo el contenido es scraping directo de páginas públicas HTML.

Uso Rápido

python
from marketscreener_client import MarketScreenerClient

client = MarketScreenerClient()

# Último earnings transcript de GGAL
transcript = client.get_transcript("GGAL")
print(transcript["title"])
print(transcript["prepared_remarks"][:500])

# Cotización de AAPL
quote = client.get_quote("AAPL")
print(f"${quote['price']} ({quote['change_pct']}%)")

# Perfil de empresa
profile = client.get_profile("GGAL")
print(profile["name"], profile["industry"])

# Financials
fin = client.get_financials("AAPL", statement="income")
print(fin["2025"]["revenue"])

# Consenso de analistas
consensus = client.get_consensus("AAPL")
print(f"Target: ${consensus['target_mean']}, Recomendación: {consensus['rating']}")

Scripts Disponibles

Script	Descripción
marketscreener_client.py	Cliente completo con todas las funcionalidades (transcripts, quotes, profile, financials, valuation, consensus, news, ratings, insider, calendar, search)
marketscreener_cli.py	CLI rápida para consultas diarias

Buenas Prácticas

Rate limiting: usar 1 request por segundo como mínimo para evitar bloqueos
User-Agent: siempre usar un User-Agent de navegador real
Cachear: los datos de transcripts no cambian después de publicados, cachear localmente
HTML Parsing: usar BeautifulSoup para parsear HTML, no regex
IDs numéricos: cada empresa tiene un ID numérico único en MarketScreener (ej: AAPL=4849, GGAL=13491328)
Errores 404: si no se encuentra una página, puede que la empresa no esté cubierta

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Marketscreener AI skill do?

Scraper de MarketScreener (S&P Capital IQ): earnings transcripts, cotizaciones, perfiles empresa, financials, valuation, consenso analistas, noticias, insider trading, ratings. Sin API key.

Why use Marketscreener on TypingMind?

Because you install it once and use it with any model. Marketscreener is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Marketscreener in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gauss314/skills/tree/main/skills/marketscreener. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Marketscreener?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Marketscreener?

As many as you like. As long as a model supports skills, you can use Marketscreener with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Marketscreener AI skill free?

Yes. It is published on GitHub by gauss314 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MarketScreener — Datos Financieros y Earnings Transcripts Globales

⚠️ Lo que MarketScreener ofrece GRATIS (sin registro)

Cobertura

Autenticación

Uso Rápido

Scripts Disponibles

Buenas Prácticas

Bundled files

Frequently asked questions

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