Agent skill

Airbnb Search Listing Extractor

Extracts Airbnb search results - listing id, name, coordinates, rating, price, photos and badges - from the page's own embedded search data, with pagination.

MITAuto-check passedData & Analytics

Install Airbnb Search Listing Extractor

skills CLI

$ npx skills add browser-act/skills --skill airbnb-search-listing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install browser-act/skills airbnb-search-listing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/ecommerce/airbnb-search-listing .claude/skills/airbnb-search-listing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "airbnb-search-listing" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/airbnb-search-listing into .claude/skills/airbnb-search-listing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airbnb-search-listing", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/browser-act/skills/tree/main/solutions/ecommerce/airbnb-search-listing

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add browser-act/skills --skill airbnb-search-listing -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install browser-act/skills airbnb-search-listing --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/solutions/ecommerce/airbnb-search-listing .agents/skills/airbnb-search-listing && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "airbnb-search-listing" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/airbnb-search-listing into .agents/skills/airbnb-search-listing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airbnb-search-listing", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add browser-act/skills --skill airbnb-search-listing -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install browser-act/skills airbnb-search-listing --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/solutions/ecommerce/airbnb-search-listing .cursor/skills/airbnb-search-listing && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "airbnb-search-listing" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/airbnb-search-listing into .cursor/skills/airbnb-search-listing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airbnb-search-listing", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/browser-act/skills.git --path solutions/ecommerce/airbnb-search-listing

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add browser-act/skills --skill airbnb-search-listing -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install browser-act/skills airbnb-search-listing --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/solutions/ecommerce/airbnb-search-listing .gemini/skills/airbnb-search-listing && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "airbnb-search-listing" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/airbnb-search-listing into .gemini/skills/airbnb-search-listing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airbnb-search-listing", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install browser-act/skills airbnb-search-listing

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add browser-act/skills --skill airbnb-search-listing -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/solutions/ecommerce/airbnb-search-listing .github/skills/airbnb-search-listing && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "airbnb-search-listing" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/airbnb-search-listing into .github/skills/airbnb-search-listing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airbnb-search-listing", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add browser-act/skills --skill airbnb-search-listing -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install browser-act/skills airbnb-search-listing --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/solutions/ecommerce/airbnb-search-listing .opencode/skills/airbnb-search-listing && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "airbnb-search-listing" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/airbnb-search-listing into .opencode/skills/airbnb-search-listing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airbnb-search-listing", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: airbnb-search-listing
GitHub stars: 6.1k
Token cost: ~1.4k tokens
SKILL.md length: 549 words
Files: 2 (incl. scripts)
Skills in repo: 87
Repo updated: Aug 24, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Extracts Airbnb search results - listing id, name, coordinates, rating, price, photos and badges - from the page's own embedded search data, with pagination.

Works in 3 steps: navigate… → wait stable → eval "$(python scripts/search-listing.py)"
Pulling structured Airbnb search results for a destination
SKILL.md covers Language, Objective, Prerequisites and Pre-execution Checks, plus 6 more sections
Runs Python scripts from its folder; calls python; reaches airbnb.com and a0.muscache.com

What it does

This skill navigates to an Airbnb destination search URL and pulls listing results out of the page's own server-rendered data rather than scraping visible HTML, since that embedded data already contains structured fields for each result. No login is required because search results are public, and the skill's operating boundary is explicitly limited to what a user could do manually in their own browser - it never bypasses authentication or access controls.

A bundled Python script, invoked through a browser-automation tool's eval mechanism, does the actual extraction after the page has navigated and settled; URL parameters like check-in and check-out dates, guest counts, and price range are all optional except the destination, and omitting any of them falls back to Airbnb's own defaults. If extraction returns an error or the embedded data isn't found, the skill verifies the current page is actually an Airbnb search results page before retrying once after waiting for the page to stabilize.

Results include pagination cursors so a destination's full set of listings can be retrieved across multiple pages rather than just the first page that loads initially.

When your agent uses it

Pulling structured Airbnb search results for a destination
Collecting listing data across multiple pages of Airbnb results
Extracting price, rating and coordinates for Airbnb listings in bulk

Example prompts

“Extract all Airbnb listings for a Lisbon search this weekend.”
“Pull the next page of Airbnb results for this destination.”
“Get price and rating data for these Airbnb search results.”

Requirements

browser-act browser automation tool
Python

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

navigate https://www.airbnb.com/s/{destination}/homes?{params}
wait stable
eval "$(python scripts/search-listing.py)"

What it can do on your machine

Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- airbnb.com
- a0.muscache.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Airbnb Search Listing Extractor loads about 1.4k tokens when it runs. Until then it costs about 166 tokens; SKILL.md has 549 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~166
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 549 words, ~1,431 tokens.

Download SKILL.mdSave it as .claude/skills/airbnb-search-listing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: airbnb-search-listing
description: 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 extraction, Airbnb search by destination.

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 the bash tool for execution.

DOM: extract search results (SSR niobeClientData)

Navigate to the search URL first, wait for the page to load, then run:

eval "$(python scripts/search-listing.py)"

URL construction pattern:

https://www.airbnb.com/s/{destination}/homes?checkin={YYYY-MM-DD}&checkout={YYYY-MM-DD}&adults={N}&children={N}&infants={N}&pets={N}&price_min={N}&price_max={N}&min_beds={N}&min_bedrooms={N}&min_bathrooms={N}&cursor={base64_cursor}

All URL parameters are optional except destination. Omit any parameter to use the Airbnb default.

Full invocation sequence:

navigate https://www.airbnb.com/s/{destination}/homes?{params}
wait stable
eval "$(python scripts/search-listing.py)"

Output example:

json

{
  "items": [
    {
      "id": "5476930",
      "url": "https://www.airbnb.com/rooms/5476930",
      "name": "Bright Studio in Notting Hill",
      "lat": 51.5101,
      "lng": -0.1949,
      "rating": "4.85",
      "title": "Entire studio in London",
      "price_total": "$120 total",
      "price_qualifier": "before taxes",
      "photos": ["https://a0.muscache.com/im/pictures/...jpeg"],
      "badges": ["Guest favorite"]
    }
  ],
  "count": 18,
  "total_pages": 13,
  "cursors": ["eyJzZWN0aW9uX29mZnNldCI6MCwiaXRlbXNfb2Zmc2V0IjoxOCwidmVyc2lvbiI6MX0="]
}

Error handling: If error: true is returned, verify the current page is an Airbnb search results page (URL contains /s/ and /homes), then retry once after wait stable. If niobeClientData is not found, the page may still be loading — wait and retry.

Pagination

URL Pagination: URL pattern https://www.airbnb.com/s/{destination}/homes?{filters}&cursor={cursor}. Each page returns a cursors array where cursors[0] is the current page, cursors[1] is page 2, cursors[2] is page 3, etc. total_pages equals the length of cursors. Termination: index >= total_pages OR count is 0.

Paginate by taking the cursor from the previous result and navigating:

First page: navigate without cursor; extract cursors array from result
Page 2: navigate https://www.airbnb.com/s/{destination}/homes?{filters}&cursor={cursors[1]}
wait stable
eval "$(python scripts/search-listing.py)"
Page N: use cursors[N-1] from the original page-1 cursors array
Stop when page index >= total_pages or count is 0

Show full SKILL.md (192 more words)Show less

Success Criteria

count >= 1 AND items[0].id is not null AND items[0].url is not null

Known Limitations

Returns up to 18 listings per page (Airbnb's default page size)
Maximum ~240 results total across all pages (Airbnb's search cap)
rating may be null for new listings with no reviews
price_total is null when no dates are specified in search

Execution Efficiency

Batch orchestration: Write a bash script to loop through cursors serially; do not parallelize within one browser session
Test before batch execution: After writing a batch script, test with 1-2 pages before running full pagination
Error resumption: Save results page by page; resume from the last successful page on failure

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/airbnb-scraper-airbnb-search-listing.memory.md

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.

Files

SKILL.md and 1 other file (scripts) in solutions/ecommerce/airbnb-search-listing of browser-act/skills.

SKILL.md
scripts/search-listing.py

Open the folder on GitHubat commit 11c057b

Compare with similar skills

Airbnb Search Listing Extractor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Airbnb Search Listing Extractor compared with similar skills
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Airbnb Search Listing Extractor this skillbrowser-act/skills	6.1k	—	~1.4k	Automated safety check: Pass	MIT	1 mo ago
Product Reel Generatorgooseworks-ai/goose-skills	1.2k	1 repos	~2.3k	Automated safety check: Notes	MIT	2 days ago
Boss Zhipin Scrapereatmoreduck/boss-zhipin-scraper	1.5k	—	~2.6k	Automated safety check: Pass	MIT	today
Crawl4AI Web Scrapingsmallnest/goclaw	599	1 repos	~2.5k	Automated safety check: Pass	MIT	6 mo ago
Axyusukebe/ax	719	1 repos	~918	Automated safety check: Pass	MIT	2 mo ago
Google Maps ScraperMahanaicoach/google-maps-scraper-kit	1.3k	—	~2.8k	Automated safety check: Pass	MIT	6 days ago

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Questions about Airbnb Search Listing Extractor

What does Airbnb Search Listing Extractor do?

Extracts Airbnb search results - listing id, name, coordinates, rating, price, photos and badges - from the page's own embedded search data, with pagination. This skill navigates to an Airbnb destination search URL and pulls listing results out of the page's own server-rendered data rather than scraping visible HTML, since that embedded data already contains structured fields for each result. No login is required because search results are public, and the skill's operating boundary is explicitly limited to what a user could do manually in their own browser - it never bypasses authentication or access controls.

When should I use Airbnb Search Listing Extractor?

Airbnb Search Listing Extractor fits situations like: pulling structured Airbnb search results for a destination; collecting listing data across multiple pages of Airbnb results; extracting price, rating and coordinates for Airbnb listings in bulk.

How do I install Airbnb Search Listing Extractor in Claude Code?

Run `npx skills add browser-act/skills --skill airbnb-search-listing -a claude-code`. Or copy the skill folder (solutions/ecommerce/airbnb-search-listing in browser-act/skills) into .claude/skills/airbnb-search-listing in your project. Claude Code loads it when a task matches its description.

How do I install Airbnb Search Listing Extractor in Codex?

Run `npx skills add browser-act/skills --skill airbnb-search-listing -a codex`. Or copy the skill folder (solutions/ecommerce/airbnb-search-listing in browser-act/skills) into .agents/skills/airbnb-search-listing in your project. Codex loads it when a task matches its description.

Can I use Airbnb Search Listing Extractor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browser-act/skills --skill airbnb-search-listing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/airbnb-search-listing, .gemini/skills/airbnb-search-listing, .github/skills/airbnb-search-listing and .opencode/skills/airbnb-search-listing in your project.

What does Airbnb Search Listing Extractor need to run?

Going by SKILL.md and its folder, Airbnb Search Listing Extractor needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: browser-act browser automation tool; Python.

Does Airbnb Search Listing Extractor access the network?

SKILL.md names 2 domains. In commands or code: airbnb.com and a0.muscache.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Airbnb Search Listing Extractor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Airbnb Search Listing Extractor use?

Airbnb Search Listing Extractor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Airbnb Search Listing Extractor use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Airbnb Search Listing Extractor?

Skills that share tags, products or a category with Airbnb Search Listing Extractor: Product Reel Generator (gooseworks-ai/goose-skills, 1.2k stars), Boss Zhipin Scraper (eatmoreduck/boss-zhipin-scraper, 1.5k stars), Crawl4AI Web Scraping (smallnest/goclaw, 599 stars) and Ax (yusukebe/ax, 719 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Airbnb Search Listing Extractor?

browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,126 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.

Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Airbnb Search Listing Extractor

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Airbnb — Search Listing Extraction

Language

Objective

Prerequisites

Pre-execution Checks

1. Tool Readiness

Capability Components

DOM: extract search results (SSR niobeClientData)

Pagination

Success Criteria

Known Limitations

Execution Efficiency

Experience Notes

Files

Compare with similar skills

Similar skills

More from browser-act/skills

Related

Questions about Airbnb Search Listing Extractor