exa-search

Name: exa-search
Availability: InStock
Author: dogekiki

Search the web and extract text, summaries, and highlights via the Exa API.

1|Updated Jul 21, 2026

Search Tags:#automation #research #search #extraction #exa #web-scraping

Ready to run

npx skills add https://github.com/dogekiki/SP-test --skill exa-search-dogekiki

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/exa-search
Command: npx skills add https://github.com/dogekiki/SP-test --skill exa-search-dogekiki

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires exa-py.

What problem does it solve?

This skill solves the limitation of standard search engines by providing deep content extraction, allowing you to retrieve summaries, full text, or highlights from broad web sources, news, and research papers.

Core Features & Use Cases

Broad Web Search: Access blogs, documentation, news, and company data beyond academic databases.
Advanced Filtering: Narrow results by date, domain, category, or specific text inclusion/exclusion.
Research Integration: Automatically ingest research paper metadata into a local wiki when specific criteria are met.
Use Case: Use this to find recent industry news on transformer models, extract the full text of a specific blog post, or find similar pages to a known research paper URL.

Quick Start

Use the exa-search skill to find recent articles about RAG pipelines published after January 2025.

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 summaries from web search results?▼

Web search extraction retrieves full text, summaries, and highlights from online sources using the Exa API. It supports advanced filtering by domain, date, and category to narrow down specific articles or documentation for research and competitive intelligence.

Can I automate ingesting academic paper metadata and citations into a local wiki?▼

Automating academic paper metadata ingestion into a local wiki is supported by integrating web search extraction with specific research criteria. It retrieves text and citations from diverse online sources to populate your local research database automatically.

Does the exa-py dependency support complex filtering by date and domain for web scraping?▼

The exa-py dependency supports complex filtering by date, domain, category, and specific text inclusion or exclusion for web scraping. This allows you to narrow search results to retrieve targeted text, summaries, and highlights from precise online sources.

What is the best way to find similar pages to a known research paper URL?▼

Finding similar pages to a known research paper URL is achieved through AI-powered web search and deep content extraction. This approach accesses blogs, documentation, and company data beyond standard academic databases to retrieve comparable content.

How do I gather recent industry news on transformer models published after a specific date?▼

Gathering recent industry news on transformer models published after a specific date utilizes broad web search with advanced date filtering. It retrieves relevant text, summaries, and highlights from news sites and blogs to facilitate competitive intelligence.

Are there limitations when using web scraping for broad searches versus academic databases?▼

Broad web search extraction accesses blogs, documentation, and company data beyond academic databases, but relies on the Exa API for content retrieval. Complex filtering by domain, date, and category is required to narrow results and avoid irrelevant extraction from diverse online sources.