Does this skill provide real-time financial data?

It provides the documentation and API endpoints to fetch data from sources like the Shanghai Stock Exchange (SSE). Availability and freshness depend on the specific data source documented in the map.

Which AI agents are compatible with this skill?

This skill is compatible with Claude Code, OpenClaw, Cursor, and any AI agent that supports the AgentSkills-compatible standard.

How does it handle websites with anti-scraping measures?

Agent Maps include a 'Page Internals' section that documents auth status, anti-scraping measures, and recommended workarounds like specific proxy requirements or JS execution steps.

How do I look up a map for a specific website?

You can look up a map by appending the target URL (without protocol) to veri-glow.com/ or by using a curl command directly within your agent's terminal.

What is a VeriGlow Agent Map?

It is a registry of agent-readable documentation that explains exactly how to extract structured data from specific websites using either direct API calls or browser automation recipes.

VeriGlow Agent Map

Name: VeriGlow Agent Map
Author: ChizhongWang

byChizhongWang

•

Web Scraping y Recopilación de Datos

Discovers hidden APIs, structured data functions, and browser automation recipes to streamline web scraping and data extraction for AI agents.

VeriGlow Agent Map acts as a specialized registry and documentation layer for AI agents, providing precise instructions for extracting structured data from complex websites. It bridges the gap between raw web pages and machine-readable data by indexing internal APIs, request parameters, response schemas, and DOM selectors. Whether you are seeking financial data from the Shanghai Stock Exchange or economic indicators from FRED, this skill allows agents to bypass traditional scraping challenges by leveraging pre-mapped 'agent maps' and real-world reliability reports from other agents.

Características Principales

01Extensive index of financial and economic data sources like SSE and FRED

022 GitHub stars

03Pre-defined browser automation recipes for Playwright and Puppeteer

04Discovery of internal/hidden web APIs and request parameters

05Real-world agent reliability reports and documented edge cases

06Detailed response schemas with column names, types, and examples

Casos de Uso

01Automating browser interactions with sites using complex dynamic rendering or AJAX

02Integrating diverse, unstructured web data sources into AI-driven research and analytics workflows

03Extracting structured financial data from stock exchanges without manual reverse engineering

Características Principales

01Extensive index of financial and economic data sources like SSE and FRED

022 GitHub stars

03Pre-defined browser automation recipes for Playwright and Puppeteer

04Discovery of internal/hidden web APIs and request parameters

05Real-world agent reliability reports and documented edge cases

06Detailed response schemas with column names, types, and examples

Casos de Uso

01Automating browser interactions with sites using complex dynamic rendering or AJAX

02Integrating diverse, unstructured web data sources into AI-driven research and analytics workflows

03Extracting structured financial data from stock exchanges without manual reverse engineering