parallel-web

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

21|1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/OwnLabAI/ownlab --skill parallel-web-ownlabai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-web
Source: https://github.com/OwnLabAI/ownlab/tree/main/mart/skills/scientific-skills/parallel-web
Command: npx skills add https://github.com/OwnLabAI/ownlab --skill parallel-web-ownlabai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Researchers need a cohesive tool to perform web searches, verify content from URLs, and synthesize multi-source insights for writing, reporting, and decision-making.

Core Features & Use Cases

  • Web Search: query the Parallel Web API to retrieve synthesized results with inline citations.
  • Extract: verify and extract content from known URLs (excerpts or full content) for citation checks and deep dives.
  • Deep Research: produce comprehensive reports across multiple sources with structured citations.
  • Use Case: Quickly assemble background sections for a paper, verify a citation, and generate a market overview from diverse sources.

Quick Start

Run a web search for your topic, then extract content from relevant URLs, and finally run deep research to produce a synthesized report.

Frequently Asked Questions about parallel-web

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

FAQPage Schema
How do I perform web search and extract URL content for literature reviews?

Web search and URL content extraction for literature reviews is done by querying the Parallel Web API to retrieve synthesized results with inline citations and verify known URLs. You can run deep research across multiple sources to generate structured reports.

Can I verify citations and extract full content from specific URLs?

Citation verification and full content extraction from specific URLs is supported through the Parallel Web API extract feature. It retrieves excerpts or full content from known URLs, enabling deep dives and accurate citation checks for research papers.

Do I need a PARALLEL_API_KEY to run deep research and web searches?

A PARALLEL_API_KEY is required to run deep research and web searches using the Parallel Web API client. You also need Python dependencies openai and parallel-web installed to utilize the CLI and Python classes for search and extract operations.

What's the best way to generate a market overview from diverse web sources?

Generating a market overview from diverse web sources is best accomplished using the deep research feature, which produces comprehensive reports across multiple sources with structured citations. This synthesizes multi-source insights for up-to-date market intelligence.

Does parallel-web work with Python for automated citation verification?

Parallel-web works with Python by exposing Python classes and CLI commands for search, extract, and deep research operations. It enables automated citation verification and rapid literature reviews by integrating the Parallel Web API directly into Python workflows.

Are there limitations when using web search for up-to-date technology intelligence?

Web search for technology intelligence is limited by the availability and accessibility of online sources via the Parallel Web API. It requires a valid PARALLEL_API_KEY and depends on the openai and parallel-web Python packages to execute search and extraction commands.