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parallel-web

Search the web, conduct deep research, and extract URL content via the Parallel Web Systems API.

Updated Feb 3, 2026
Search Tags:#research#api#information retrieval#web search#content extraction#parallel web systems
One-click install
npx skills add https://github.com/loganylchen/skills --skill parallel-web
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-web
Source: https://github.com/loganylchen/skills/tree/main/parallel-web
Command: npx skills add https://github.com/loganylchen/skills --skill parallel-web

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive solution for accessing and processing information from the web, enabling deep research and content extraction.

Core Features & Use Cases

  • Web Search: Perform general web searches and receive synthesized summaries with citations.
  • Deep Research: Conduct in-depth research on complex topics, generating detailed reports from multiple sources.
  • URL Content Extraction: Extract specific content from URLs for verification purposes.
  • Use Case: A user needs to gather information on the latest advancements in renewable energy policy for a report. They can use the research command to get a detailed analysis, ensuring all sources are cited and saved for reproducibility.

Quick Start

Use the parallel-web skill to search the web for the latest advances in quantum computing in 2025.

Frequently Asked Questions about parallel-web

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

FAQPage Schema
How do I conduct deep research on complex topics using a web search API?▼

Deep research using a web search API involves querying multiple sources to generate detailed reports. This skill uses the Parallel Web Systems API to synthesize comprehensive analyses with citations from natural language queries.

How do I extract specific content from a URL for verification?▼

To extract specific content from a URL for verification, use the URL content extraction feature. This skill processes targeted URLs via the Parallel Web Systems API to retrieve and verify specific information directly from the web page.

What Python packages and environment variables are required for web search and content extraction?▼

Web search and content extraction require the `openai` and `parallel-web` Python packages installed. You must also configure the `PARALLEL_API_KEY` environment variable to authenticate API requests for retrieving information.

Can I use natural language queries for information retrieval and get cited summaries?▼

Yes, you can use natural language queries for information retrieval. This skill processes natural language inputs to perform general web searches and returns synthesized summaries that include citations for reproducibility.

What is the best way to gather information on recent advancements with reproducible sources?▼

The best way to gather information with reproducible sources is to use a deep research command. This skill queries the Parallel Web Systems API to generate detailed analyses, ensuring all sources are cited and saved during the information retrieval process.

Does parallel-web work with OpenAI for comprehensive analysis and specific content verification?▼

Yes, parallel-web works with OpenAI as a required dependency. It integrates the `openai` Python package with the Parallel Web Systems API to enable comprehensive analysis, web search, and specific content verification.

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