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npx skills add https://github.com/AgentComputerAI/torch --skill airbnb
Please help me install this Agent Skill. Skill: airbnb Source: https://github.com/AgentComputerAI/torch/tree/main/skills/sites/airbnb Command: npx skills add https://github.com/AgentComputerAI/torch --skill airbnb
Airbnb search pages embed all listing data in the HTML response, but extracting that data normally requires a browser or complex GraphQL calls. This Skill provides a simple, reliable method to pull structured listings directly from the page without any anti‑bot challenges.
Extract all Airbnb listings from a search URL like https://www.airbnb.com/s/Seattle/homes.
High-intent search queries and answers about installing and using this skill.
You can scrape Airbnb search results by sending a standard Node fetch request with a regular User-Agent header to any airbnb.com /s/ URL, which retrieves the full HTML containing embedded JSON listing data without needing a browser.
This scraping method extracts clean JSON fields such as listing title, price, rating, coordinates, and image URLs by parsing script tags and decoding HTML entities from the search response page.
Scraping Airbnb with Node fetch does not require a proxy or captcha solver, as it retrieves structured listing data directly from the HTML response using only a standard User-Agent header.
To handle pagination when scraping Airbnb, the method automatically follows cursor-based pagination parameters embedded in the search results, collecting listings up to the site's maximum limit.
Airbnb embeds listing data in HTML script tags containing encoded characters; this scraping method decodes HTML entities from data-deferred-state-0 and data-injector-instances tags to deliver properly formatted JSON fields.
Node fetch is suitable for Airbnb data extraction up to the site's pagination limit, automatically following cursor parameters to gather complete structured listing data for market analysis or price comparison.
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