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parallel-web

Search the web, extract URL content, and perform deep research with citations via Parallel Web Systems APIs.

1|Updated Mar 11, 2026
Search Tags:#citations#metadata#sources#web-search#deep-research#url-extraction
One-click install
npx skills add https://github.com/SciMate-AI/scicli --skill parallel-web-scimate-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-web
Source: https://github.com/SciMate-AI/scicli/tree/main/internal/skills/bundled/claude-scientific-skills/skills/parallel-web
Command: npx skills add https://github.com/SciMate-AI/scicli --skill parallel-web-scimate-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Parallel Web Systems API enables users to search the web, extract targeted URL content, and perform deep multi-source research with inline citations, streamlining information gathering for writing and analysis.

Core Features & Use Cases

  • Web search via the Parallel Chat API to produce synthesized summaries with inline sources.
  • Deep research using the core model for multi-source synthesis and comprehensive reports.
  • URL extraction via the Extract API to verify citations and pull focused content from known pages.
  • Source management by saving outputs to a sources folder for reproducibility and auditability.

Quick Start

Start by running a web search for your topic, then review the synthesized results with citations.

Frequently Asked Questions about parallel-web

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

FAQPage Schema
How do I perform deep web research with inline citations for a literature review?▼

Deep web research with inline citations is performed using the Parallel Chat API to synthesize multiple sources into comprehensive reports. It streamlines information gathering by automatically searching the web and generating summarized outputs with directly referenced sources.

What is URL content extraction and how does it verify web search sources?▼

URL content extraction is the process of pulling focused text from known web pages via the Extract API. It verifies web search sources by retrieving targeted content, ensuring that the inline citations and metadata generated during research are accurate and auditable.

Do I need a PARALLEL_API_KEY to extract targeted URL content and run web searches?▼

Yes, a PARALLEL_API_KEY is required to authenticate and use the Parallel Chat API for web searches and the Extract API for targeted URL content extraction. You must configure this environment variable before executing any search or deep research tasks.

Can I save extracted web sources and metadata for reproducible market intelligence gathering?▼

Yes, you can save extracted web sources and metadata for reproducible market intelligence gathering. The skill manages source outputs by saving them to a dedicated sources folder, ensuring that your research data remains organized and auditable for future reference.

What is the best way to gather technical documentation from multiple web sources?▼

The best way to gather technical documentation from multiple web sources is using the core model for multi-source synthesis. This approach performs deep research via the Parallel Chat API, aggregating information and generating comprehensive reports with inline citations.

Why are my extracted URL outputs missing inline citations during deep research?▼

Extracted URL outputs may miss inline citations if the deep research task is not properly routed through the Parallel Chat API for multi-source synthesis. Ensure the core model is used for research aggregation so that generated summaries correctly include the required inline source references.

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