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exa-search

Search the web and extract URL content into JSON with Exa.

74|5|Updated Dec 10, 2025
Search Tags:#web search#literature review#academic research#exa#url extraction#scientific sources
One-click install
npx skills add https://github.com/dralkh/seerai --skill exa-search-dralkh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/dralkh/seerai/tree/main/skills/exa-search
Command: npx skills add https://github.com/dralkh/seerai --skill exa-search-dralkh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill removes the friction of finding reliable web sources and pulling content from URLs, especially when you need current information, research material, or extracted article text in a reusable format.

Core Features & Use Cases

  • Web Search: Look up topics with semantic retrieval, optional research-paper biasing, and domain filtering for higher-quality results.
  • URL Extraction: Fetch the contents of webpages, articles, and academic PDFs in batch, with support for full text or highlights.
  • Use Case: Use it to research a technical topic, collect scholarly sources, or extract multiple paper pages into JSON for later analysis.

Quick Start

Ask the assistant to search the web for your topic and save the results to a JSON file.

Frequently Asked Questions about exa-search

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

FAQPage Schema
How do I extract full text and highlights from academic PDFs and webpages in batch?▼

Batch URL extraction fetches webpage, article, and academic PDF contents in full text or highlights, outputting reliable JSON for downstream analysis. You can collect multiple scholarly sources simultaneously and retrieve structured text without manual scraping.

What is semantic web search with research-paper filtering and domain allowlists?▼

Semantic web search retrieves topic information using meaning rather than exact keywords, with optional research-paper biasing and domain allowlists or blocklists to filter sources. This ensures higher-quality results tailored for scientific research and technical lookups.

Can I use Exa to search the web and save structured JSON results for literature reviews?▼

Yes, you can search the web for your topic and save the extracted URL content directly to a JSON file. The Skill applies semantic search and research-paper filtering to gather scientific sources, returning reliable structured output for literature reviews.

Does web search with domain filtering work for technical lookups and current information retrieval?▼

Web search with domain filtering applies allowlists and blocklists to target or exclude specific domains, making it effective for technical lookups and current information retrieval. It uses semantic retrieval to find current information across allowed scientific and technical sources.

What are the limitations of using Exa for extracting content from scientific sources?▼

Exa requires the exa-py dependency and is limited to extracting URL content from accessible webpages, articles, and academic PDFs. It cannot bypass paywalls or access restricted academic databases, and extraction quality depends on the source webpage structure.

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