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exa-search

Search the web with the Exa Python SDK and extract text from URLs.

Updated May 17, 2026
Search Tags:#semantic search#information retrieval#web search#academic papers#scientific research
One-click install
npx skills add https://github.com/galeep/plugin-place --skill exa-search-galeep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/galeep/plugin-place/tree/main/plugins/sci-scientific-communication/skills/exa-search
Command: npx skills add https://github.com/galeep/plugin-place --skill exa-search-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires exa-py>=1.14.0, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenges of sifting through vast amounts of web content to find the most relevant information for scientific and technical inquiries, saving researchers time and effort.

Core Features & Use Cases

  • Semantic Web Search: Conduct advanced searches across the web for academic papers, technical documentation, and more, with an emphasis on scientific content.
  • URL Extraction: Fetch and extract text, titles, authors, and publication dates from URLs for in-depth analysis.
  • Use Case: Suppose you need to quickly find the latest research on quantum computing. This Skill allows you to search for relevant papers, fetch them, and extract the key findings directly into a JSON file.

Quick Start

Use the exa-search skill to search for the latest research on "quantum computing" and fetch the top 5 results in JSON format.

Frequently Asked Questions about exa-search

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

FAQPage Schema
How do I conduct a semantic web search for academic papers?▼

Semantic web search for academic papers is executed using the Exa Python SDK, which queries the web for scientific content and extracts relevant titles, authors, and publication dates. It requires an EXA_API_KEY and internet access to retrieve results.

Can I extract text and authors directly from a URL for research analysis?▼

URL extraction fetches text, titles, authors, and publication dates directly from specified web pages for in-depth analysis. This feature allows researchers to pull key findings from sources immediately without manual copying.

Do I need an EXA_API_KEY to retrieve scientific research online?▼

An EXA_API_KEY is required to authenticate and execute web searches using the Exa Python SDK. Internet access is also necessary to properly connect to the service and retrieve high-quality scientific and technical content.

What is the best way to find the latest research on quantum computing?▼

The best way to find the latest research on quantum computing is to run a semantic web search and fetch the top results in JSON format. This process instantly turns vast web content into actionable insights for scientists.

Does Exa search work with Python for fetching technical documentation?▼

Exa search works with Python through the Exa SDK dependency to fetch technical documentation and academic papers. It applies to professionals needing quick access to high-quality scientific content across the web.

What are the limitations of using semantic search for scientific research?▼

Limitations of semantic search for scientific research include the absolute requirement of an active internet connection and a valid EXA_API_KEY. Without these, the Python SDK cannot execute web queries or extract information from academic papers.

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