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ARAVINDAN20
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parallel-web

Search the web and extract URL content via Parallel Web Systems APIs.

4|1|Updated Apr 8, 2026
Search Tags:#automation#workflow#documentation#citation#web-search#deep-research#url-extraction
One-click install
npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill parallel-web-aravindan20
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-web
Source: https://github.com/ARAVINDAN20/Claude-Research-Paper-OS/tree/main/.claude/skills/claude-scientific-writer/.claude/skills/parallel-web
Command: npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill parallel-web-aravindan20

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, parallel, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Automate web search, URL content extraction, and multi-source deep research using Parallel Web Systems to deliver structured, cited insights.

Core Features & Use Cases

  • Web search and synthesized summaries with inline citations via the Parallel Chat API.
  • Deep research across multiple sources with organized themes and actionable findings.
  • URL extraction for verification and content retrieval using the Extract API.
  • Automated result saving to a sources folder for reproducibility and auditability.
  • Lightweight, command-line oriented workflows for quick research tasks.

Quick Start

Run a basic web search using the provided parallel_web.py script for your topic.

Frequently Asked Questions about parallel-web

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

FAQPage Schema
How do I automate web search and extract URL content with citations?▼

Automate web search and extract URL content with citations by running the parallel_web.py script, which leverages the Parallel Chat API for search and the Extract API for verification, saving cited results to a sources folder.

What is deep research and how does it synthesize multiple sources?▼

Deep research across multiple sources uses Parallel Web Systems to organize findings into themes and actionable synthesized summaries, preserving inline citations for reproducibility and auditability.

Do I need an OpenAI API key to run deep research workflows?▼

Yes, you need an OpenAI API key alongside the Parallel dependency to execute deep research workflows, as the script relies on these libraries to process and synthesize cited web extractions.

Can I use this for market intelligence and current-events briefs?▼

Yes, you can use this for market intelligence and current-events briefs, as the workflow supports general information gathering and technical documentation tasks across fast, repeatable command-line workflows.

What is the best way to verify extracted web content for research?▼

The best way to verify extracted web content is using the Parallel Extract API, which retrieves and validates URL content before the system synthesizes the findings into a cited summary.

Why are my automated research results saved to a sources folder?▼

Automated research results are saved to a sources folder to ensure reproducibility and auditability, keeping extracted URL content and inline citations organized for later reference.

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