stock-data-skill
OpenClaw Skill for stock data analysis
Search Singapore property rental and sale listings with flexible filters. Use when asked to search Singapore properties, find rental or sale listings, check property prices near MRT stations, or compare commute times. Supports filtering by listing type (rent/sale), property type (HDB/Condo/Landed), bedrooms, bathrooms, price range, size, TOP year, MRT station codes, distance to MRT, room type, availability, and commute time to a destination. Outputs JSON to stdout.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 5kbpers/sg-property-scraper打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Scrapes Singapore property listings via HTTP requests. Returns structured JSON.
scripts/scrape.py
Relative to this SKILL directory. Run with:
python3 <SKILL_DIR>/scripts/scrape.py [OPTIONS]
pip install curl_cffi beautifulsoup4 lxml
GOOGLE_MAPS_API_KEY env var for commute time calculation (Google Routes API)# Search 2BR condos for rent under SGD 4000 near Circle Line
python3 scripts/scrape.py \
--listing-type rent --bedrooms 2 --max-price 4000 \
--property-type-group N --mrt-range CC:20-24 \
--output json
# JSON input mode (easier for AI tools)
python3 scripts/scrape.py --json '{
"listingType": "rent",
"bedrooms": 2,
"maxPrice": 4000,
"propertyTypeGroup": ["N"],
"mrtStations": ["CC20","CC21","CC22","CC23","CC24"]
}'
# Dry run: print URL only without scraping
python3 scripts/scrape.py --dry-run --listing-type rent --bedrooms 3
| Flag | URL Param | Type | Description |
|---|---|---|---|
--listing-type |
listingType |
string | rent or sale |
--property-type-group |
propertyTypeGroup |
string (repeatable) | N=Condo, L=Landed, H=HDB |
--entire-unit-or-room |
entireUnitOrRoom |
string | ent for entire unit only; omit for all |
--room-type |
roomType |
string (repeatable) | master, common, shared |
--bedrooms |
bedrooms |
int | -1=room, 0=studio, 1-5 |
--bathrooms |
bathrooms |
int | Number of bathrooms |
--min-price |
minPrice |
int | Minimum price (SGD) |
--max-price |
maxPrice |
int | Maximum price (SGD) |
--min-size |
minSize |
int | Minimum size (sqft) |
--max-size |
maxSize |
int | Maximum size (sqft) |
--min-top-year |
minTopYear |
int | Minimum TOP year |
--max-top-year |
maxTopYear |
int | Maximum TOP year |
--distance-to-mrt |
distanceToMRT |
float... |
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Search Singapore property rental and sale listings from the command line. Supports flexible filters (location, price, bedrooms, MRT proximity, etc.) and optional commute time calculation via Google Routes API.
# Python 3.8+ required
pip install curl_cffi beautifulsoup4 lxml
Optional — for commute time calculation:
export GOOGLE_MAPS_API_KEY="your-key-here" # needs Routes API enabled
# 2BR rentals under SGD 4000
python3 scripts/scrape.py --listing-type rent --bedrooms 2 --max-price 4000
# Condos near Circle Line MRT stations
python3 scripts/scrape.py --listing-type rent --property-type-group N --mrt-range CC:20-24
# With commute time to office
GOOGLE_MAPS_API_KEY=xxx python3 scripts/scrape.py \
--listing-type rent --bedrooms 2 --max-price 4000 \
--commute-to "1 Raffles Place, Singapore" \
--output text
python3 scripts/scrape.py --json '{
"listingType": "rent",
"bedrooms": 2,
"maxPrice": 4000,
"propertyTypeGroup": ["N"],
"mrtStations": ["CC20", "CC21", "CC22"],
"commuteTo": "1 Raffles Place, Singapore"
}'
python3 scripts/scrape.py --dry-run --listing-type rent --bedrooms 3
| Flag | Type | Description |
|---|---|---|
--listing-type |
string | rent or sale |
--property-type-group |
string | N=Condo, L=Landed, H=HDB (repeatable) |
--bedrooms |
int | -1=room, 0=studio, 1-5 |
--bathrooms |
int | Number of bathrooms |
--min-price / --max-price |
int | Price range in SGD |
--min-size / --max-size |
int | Size range in sqft |
--mrt-station |
string | MRT code e.g. CC20 (repeatable) |
--mrt-range |
string | MRT range e.g. CC:20-24 (repeatable) |
--distance-to-mrt |
float | Max distance to MRT in km |
--commute-to |
string | Destination for commute calculation |
--sort |
... |
# Singapore Property Scraper
Scrapes Singapore property listings via HTTP requests. Returns structured JSON.
## Script Location
```
scripts/scrape.py
```
Relative to this SKILL directory. Run with:
```bash
python3 <SKILL_DIR>/scripts/scrape.py [OPTIONS]
```
## Dependencies
- Python 3.8+
- `pip install curl_cffi beautifulsoup4 lxml`
- Optional: `GOOGLE_MAPS_API_KEY` env var for commute time calculation (Google Routes API)
## Quick Start
```bash
# Search 2BR condos for rent under SGD 4000 near Circle Line
python3 scripts/scrape.py \
--listing-type rent --bedrooms 2 --max-price 4000 \
--property-type-group N --mrt-range CC:20-24 \
--output json
# JSON input mode (easier for AI tools)
python3 scripts/scrape.py --json '{
"listingType": "rent",
"bedrooms": 2,
"maxPrice": 4000,
"propertyTypeGroup": ["N"],
"mrtStations": ["CC20","CC21","CC22","CC23","CC24"]
}'
# Dry run: print URL only without scraping
python3 scripts/scrape.py --dry-run --listing-type rent --bedrooms 3
```
## Filter Parameters
| Flag | URL Param | Type | Description |
|------|-----------|------|-------------|
| `--listing-type` | `listingType` | string | `rent` or `sale` |
| `--property-type-group` | `propertyTypeGroup` | string (repeatable) | `N`=Condo, `L`=Landed, `H`=HDB |
| `--entire-unit-or-room` | `entireUnitOrRoom` | string | `ent` for entire unit only; omit for all |
| `--room-type` | `roomType` | string (repeatable) | `master`, `common`, `shared` |
| `--bedrooms` | `bedrooms` | int | `-1`=room, `0`=studio, `1`-`5` |
| `--bathrooms` | `bathrooms` | int | Number of bathrooms |
| `--min-price` | `minPrice` | int | Minimum price (SGD) |
| `--max-price` | `maxPrice` | int | Maximum price (SGD) |
| `--min-size` | `minSize` | int | Minimum size (sqft) |
| `--max-size` | `maxSize` | int | Maximum size (sqft) |
| `--min-top-year` | `minTopYear` | int | Minimum TOP year |
| `--max-top-year` | `maxTopYear` | int | Maximum TOP year |
| `--distance-to-mrt` | `distanceToMRT` | float...# SG Property Scraper
Search Singapore property rental and sale listings from the command line. Supports flexible filters (location, price, bedrooms, MRT proximity, etc.) and optional commute time calculation via Google Routes API.
## Setup
```bash
# Python 3.8+ required
pip install curl_cffi beautifulsoup4 lxml
```
Optional — for commute time calculation:
```bash
export GOOGLE_MAPS_API_KEY="your-key-here" # needs Routes API enabled
```
## Usage
### CLI flags
```bash
# 2BR rentals under SGD 4000
python3 scripts/scrape.py --listing-type rent --bedrooms 2 --max-price 4000
# Condos near Circle Line MRT stations
python3 scripts/scrape.py --listing-type rent --property-type-group N --mrt-range CC:20-24
# With commute time to office
GOOGLE_MAPS_API_KEY=xxx python3 scripts/scrape.py \
--listing-type rent --bedrooms 2 --max-price 4000 \
--commute-to "1 Raffles Place, Singapore" \
--output text
```
### JSON mode
```bash
python3 scripts/scrape.py --json '{
"listingType": "rent",
"bedrooms": 2,
"maxPrice": 4000,
"propertyTypeGroup": ["N"],
"mrtStations": ["CC20", "CC21", "CC22"],
"commuteTo": "1 Raffles Place, Singapore"
}'
```
### Dry run (preview URL without scraping)
```bash
python3 scripts/scrape.py --dry-run --listing-type rent --bedrooms 3
```
## Filter Parameters
| Flag | Type | Description |
|------|------|-------------|
| `--listing-type` | string | `rent` or `sale` |
| `--property-type-group` | string | `N`=Condo, `L`=Landed, `H`=HDB (repeatable) |
| `--bedrooms` | int | `-1`=room, `0`=studio, `1`-`5` |
| `--bathrooms` | int | Number of bathrooms |
| `--min-price` / `--max-price` | int | Price range in SGD |
| `--min-size` / `--max-size` | int | Size range in sqft |
| `--mrt-station` | string | MRT code e.g. `CC20` (repeatable) |
| `--mrt-range` | string | MRT range e.g. `CC:20-24` (repeatable) |
| `--distance-to-mrt` | float | Max distance to MRT in km |
| `--commute-to` | string | Destination for commute calculation |
| `--sort` |...OpenClaw Skill for stock data analysis
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