Parser

Parse online content into structured JSON with schema validation.

1|Updated Mar 11, 2026

Search Tags:#data extraction #web scraping #batch processing #parsing #content analysis #json generation

Ready to run

npx skills add https://github.com/BishopCodes/OpenPAI --skill parser-bishopcodes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Parser
Source: https://github.com/BishopCodes/OpenPAI/tree/main/skills/Utilities/Parser
Command: npx skills add https://github.com/BishopCodes/OpenPAI --skill parser-bishopcodes

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of extracting structured data from various online content types, saving you the time and effort of manual data collection and formatting.

Core Features & Use Cases

Universal Parsing: Extracts data from articles, YouTube videos, PDFs, newsletters, and Twitter threads.
Structured Output: Generates deterministic JSON output conforming to a strict schema.
Entity Extraction: Identifies and extracts people, companies, links, and topics.
Batch Processing: Handles multiple URLs simultaneously for efficient data collection.
Use Case: You need to gather information on the latest AI advancements from several news articles, YouTube videos, and research papers. Use this Skill to parse all URLs, extract key entities and summaries, and store them in a structured format for analysis.

Quick Start

Use the parser skill to extract structured data from the URL https://example.com/article.

Frequently Asked Questions about Parser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract structured data from multiple web pages?▼

You can extract structured data from multiple web pages using batch processing by providing multiple URLs simultaneously. The parser handles articles, videos, and PDFs, returning structured JSON output conforming to a strict schema for efficient data collection.

What is the best way to parse YouTube videos and Twitter threads into JSON?▼

The best way to parse YouTube videos and Twitter threads into JSON is using a hybrid approach of specialized extractors and AI-powered analysis. This method identifies entities, topics, and metadata, ensuring deterministic output via schema validation.

Can I extract entities and summaries from PDFs and newsletters?▼

Yes, you can extract entities and summaries from PDFs and newsletters. The parser uses AI-powered analysis to identify people, companies, links, and topics, transforming diverse online content types into structured JSON format.

Does web scraping for content analysis require specific dependencies?▼

No specific dependencies are required for web scraping and content analysis with this parser. It operates independently using scripts and references to perform data extraction and generate structured JSON output from any URL.

What are the limitations of batch processing URLs for data extraction?▼

While batch processing handles multiple URLs simultaneously for efficient data collection, the parser is limited to extracting online content like articles, videos, PDFs, newsletters, and social media threads into a structured JSON format.