Agent skill · Data & Analytics

airbnb-search-listing

Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill airbnb-search-listing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: yes
Path: solutions/ecommerce/airbnb-search-listing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Airbnb — Search Listing Extraction > Navigate to Airbnb search URL → extract listing results from SSR-embedded data ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract accommodation listing results from an Airbnb search page using SSR-embedded niobeClientData JSON. ## Prerequisites - Target search page is already open in the browser: `https://www.airbnb.com/s/{destination}/homes` - No login required — search results are publicly accessible ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ## Capability Components > This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py {params})"`. `$(...)` is bash syntax; it is recommended to use t

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. Capability Components
  7. DOM: extract search results (SSR niobeClientData)
  8. Pagination
  9. Success Criteria
  10. Known Limitations
  11. Execution Efficiency
  12. Experience Notes
Ships with 1 file
  • scripts/search-listing.py
More from skills
All skills →
About this skill
What does the airbnb-search-listing skill do?

Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page

How do I install it?

Run `npx skills add browser-act/skills --skill airbnb-search-listing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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