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propertyguru-sg-sale-browser-crawlPropertyguru SG 销售浏览器抓取

Agent Skill

propertyguru-sg-sale-browser-crawl 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,144

周安装

251

GitHub Stars

公开资料未说明

下载量

1,968
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:propertyguru-sg-sale-browser-crawl(Propertyguru SG 销售浏览器抓取)
来源仓库:https://github.com/snailb1007/propertyguru-sg-sale-browser-crawl
安装命令:
openclaw skills install propertyguru-sg-sale-browser-crawl
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install propertyguru-sg-sale-browser-crawl

简介

在 Cloudflare 验证后,使用真实浏览器会话从 PropertyGuru 提取新加坡约50个待售房源列表。

  • 适用于需要获取新加坡房产市场数据的场景,如投资分析或市场调研。
  • 通过输入搜索结果 URL,自动完成验证并抓取结构化房源信息。
  • 需确认是否触发反爬机制及数据使用范围,注意维护状态和权限边界。
  • 安装前请检查是否会执行文件读写或网络请求,避免影响系统安全策略。

SKILL.md

name
propertyguru-sg-sale-browser-crawl
description
extract around 50 Singapore for-sale listings from a PropertyGuru search results URL using a real browser session after Cloudflare verification. use when the target is a PropertyGuru Singapore search page, direct HTTP fetch may return 403, the reliable source is window.__NEXT_DATA__.props.pageProps.pageData.data.listingsData, and results should be deduplicated by listing id across sequential pages until the target count is reached.
license
MIT-0
metadata
{ "openclaw": { "emoji": "🏘️", "homepage": "https://www.propertyguru.com.sg/property-for-sale?listingType=sale&page=1&isCommercial=false&maxPrice=1400000" } }

PropertyGuru SG Sale Browser Crawl

Use this skill for PropertyGuru Singapore search results pages when the job is to collect roughly 50 listing cards from one filtered search URL.

This target is browser-backed.

  • A direct fetch may return a Cloudflare verification page or 403.
  • Prefer a real browser session and extract from the page's hydrated Next.js data.
  • Do not treat DOM card scraping as the primary source when __NEXT_DATA__ is available.

Required skill

This skill depends on playwright.

  • Use a real browser page.
  • Let the browser complete PropertyGuru's Cloudflare verification first.
  • Only extract after the page title and result page content have loaded.

Workflow

  1. Read {baseDir}/references/source-notes.md.
  2. Start from the user-provided search URL. If no URL is supplied, use the default URL from the source notes.
  3. Open the page in a real browser.
  4. Wait until the search results page is actually loaded, not the initial verification screen.
  5. Read window.__NEXT_DATA__.props.pageProps.pageData.
  6. Use pageData.data.listingsData as the canonical listing collection for that page.
  7. For each item in listingsData, use listingData.id as the stable dedupe key.
  8. Preserve the raw listingData object whenever possible.
  9. Optionally add lightweight wrapper fields such as:

- source_url - page - collected_at - listing_id

  1. Continue page-by-page until one of these conditions is met:

- 50 unique listings have been collected - paginationData.currentPage >= paginationData.totalPages - listingsData is empty - the next page repeats only ids already seen

  1. For the default PropertyGuru URL observed on March 18, 2026, the page payload contained 25 listings per page, so pages 1 and 2 were enough to reach 50 listings.

Canonical data location

Prefer:

window.__NEXT_DATA__.props.pageProps.pageData.data.listingsData

Related pagination data:

window.__NEXT_DATA__.props.pageProps.pageData.data.paginationData

Useful search context:

window.__NEXT_DATA__.props.pageProps.pageData.searchParams

Recommended extraction shape

Prefer keeping the raw listing payload plus a few convenience fields:

{
  "source_url": "https://www.propertyguru.com.sg/property-for-sale?listingType=sale&page=1&isCommercial=false&maxPrice=1400000",
  "page": 1,
  "collected_at": "2026-03-18T04:40:00Z",
  "listing_id": 500044843,
  "raw": {
    "id": 500044843,
    "localizedTitle": "780B Woodlands Crescent",
    "url": "https://www.propertyguru.com.sg/listing/hdb-for-sale-780b-woodlands-crescent-500044843",
    "price": {
      "value": 500000,
      "pretty": "S$ 500,000"
    },
    "bedrooms": 2,
    "bathrooms": 2
  }
}

If the caller wants a flatter convenience export, these fields are usually available:

  • listingData.id
  • listingData.localizedTitle
  • listingData.url
  • listingData.price.value
  • listingData.price.pretty
  • listingData.area.localeStringValue
  • listingData.bedrooms
  • listingData.bathrooms
  • listingData.fullAddress
  • listingData.property
  • listingData.psfText
  • listingData.postedOn
  • listingData.agent
  • listingData.agency
  • listingData.mrt
  • listingData.isVerified

Operating rules

  • Use browser extraction as the default path.
  • Do not rely on curl, plain HTTP, or static HTML parsing as the primary strategy.
  • Do not scrape promo widgets, "Explore around" cards, or other injected recommendation blocks from the visible DOM.
  • Use only listingsData for the main dataset.
  • Crawl one page at a time.
  • Deduplicate strictly on listingData.id.
  • Stop as soon as the requested target count is reached.
  • Preserve the search URL and page number with every saved record.
  • If the page falls back to a Cloudflare challenge and does not recover, report the block explicitly instead of pretending the page is empty.

Output target

Default target: about 50 unique listings.

  • Prefer pages 1 and 2 first.
  • If one page returns fewer rows than expected, continue to page 3 and beyond until the target count is reached.

Notes

  • PropertyGuru may change the page structure, build id, or anti-bot behavior at any time.
  • When the page changes, re-check __NEXT_DATA__ before changing extraction logic.
  • For this skill, the in-page Next.js payload is more stable than card-by-card DOM parsing.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.19%
按下载量换算1,421

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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