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parallel-cli

Perform web-scale searches and extract structured data via the Parallel API.

Updated May 9, 2026
Search Tags:#data extraction#research#web search#enrichment#parallel api
One-click install
npx skills add https://github.com/robertbr123/Linket-Agent --skill parallel-cli-robertbr123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/robertbr123/Linket-Agent/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/robertbr123/Linket-Agent --skill parallel-cli-robertbr123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit empowers agents to perform in-depth web searches, research, and enrichment tasks, providing structured information for informed decision-making.

Core Features & Use Cases

  • Advanced Web Search: Execute complex web searches with filtering, recency, and domain constraints.
  • Data Extraction: Pull structured content from web pages.
  • Enrichment: Add context and additional data to existing datasets.
  • Use Case: Imagine you need to analyze the financial performance of a company over time. Use this Skill to search for financial reports, extract relevant data, and enrich the dataset with additional metrics.

Quick Start

Run a complex search with parallel-cli search "Financial reports of XYZ Corp" --json.

Frequently Asked Questions about parallel-cli

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

FAQPage Schema
How do I perform advanced web search and data extraction using Python?▼

Advanced web search and data extraction can be performed using Python by executing complex queries with filtering, recency, and domain constraints to pull structured content from web pages.

How do I enrich existing datasets with additional metrics from web pages?▼

Dataset enrichment involves adding context and additional data to existing datasets, such as searching for financial reports and extracting relevant metrics to enhance your structured output.

Do I need a Parallel API key to run complex web searches for research?▼

Yes, a Parallel API key is required for operation. The Skill utilizes the Parallel API for web-scale search and entity discovery, requiring both Python and the API key to function.

What is the best way to structure extracted web data for complex analysis?▼

The best way to structure extracted web data is by pulling structured content directly from web pages using command-line interfaces, allowing you to output results in JSON format for complex data analysis.

Can I filter web search results by domain and recency for research tasks?▼

Yes, you can filter web search results by domain and recency. The tool executes complex web searches with specific filtering, recency, and domain constraints to refine research outputs.

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