A pythonic data extraction skill designed to scrape comprehensive car configuration and technical specifications from top tier Chinese automotive web platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install car-specs-crawler
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install car-specs-crawler using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Car Specs Crawler?
The Car Specs Crawler is a specialized extension designed for Openclaw Skills that automates the collection and structure of real-time vehicle configuration profiles. Operating across leading Chinese automotive portals such as Dongchedi and Autohome, this tool handles complex navigation, localized asset fields, and HTML scraping to yield rich technical metadata.
By leveraging this tool within Openclaw Skills ecosystem, developers, automotive analysts, and content creators can quickly synthesize standardized telemetry, dimensional datasets, and commercial price indexes. The asset outputs are cleanly organized into developer-friendly types like JSON strings or highly presentation-ready markdown tables.
Car Specs Crawler Use Cases
- Automotive Report Composition: Generating systematic market comparison matrices or data reports directly inside presentation frameworks.
- Automotive Competitive Analysis: Collecting real-time price drops, dimension deviations, or battery density metrics for structural automotive market research.
- Inventory Database Enrichment: Supplementing custom internal enterprise resource software or data pipelines with accurate localized specifications.
How Car Specs Crawler Works
- Argument Parsing: The Python engine initializes, parsing target model queries, programmatic source filters, and desired formatting specifications.
- Dynamic Request Execution: The tool queries the targeted automotive platform using customized requests paired with strict polite-crawling interval limits.
- DOM Traversal & Content Parsing: The package uses optimized lxml engines and explicit XPath mapping matrices to isolate and harvest granular automotive telemetry fields.
- Fallback Mechanism Routing: If fields drop or time out on the primary index site, the skill seamlessly pivots to alternative supported auto platforms.
- Serialization: The unstructured parsed strings are filtered, normalized to standard metrics, and formatted directly into stdout or target physical data files.
Car Specs Crawler Setup
Ensure your runtime environmental dependencies are correctly resolved. Implement the script calls with proper local target arguments.
# Basic single model technical parameters crawl
python3 scripts/fetch-car-specs.py "小米YU7 Pro"
# Advanced comparative run targetting explicitly selected network sources
python3 scripts/fetch-car-specs.py "华为问界M7 纯电" "小米YU7 Pro" --source dongchedi --format json --output specs.json
Car Specs Crawler Data Schema & Taxonomy
The script handles translation matrices to structure raw source fields into clean JSON configurations or analytical Markdown matrices. Below are the core technical fields mapped by the database pipeline:
| Captured Parameter Fields | Technical Data Definition & standard Unit Measurements |
|---|---|
| 价格 | MSRP / Commercial vehicle pricing listings |
| 能源类型 | Energy propulsion system classification (EV, PHEV, ICE) |
| 车身尺寸 / 轴距 | Structural physical dimensions (L×W×H in mm) and Wheelbase measurements |
| 电池容量 / 续航 | Total operational battery capability (kWh) and localized range parameters (CLTC/NEDC/WLTP) |
| 电机功率 / 扭矩 / 百公里加速 | Performance telemetry outlining Max Power (kW), Torque (N·m), and 0-100 km/h acceleration timelines |
Car Specs Crawler Advanced Features
- Polite Request Scheduling: Includes built-in 0.5-second structural delays between dynamic scrapings to prevent network rate limits.
- Multi-Source Cross-Fallback: Automatic structural fallback capabilities that guarantee continuous data stream parsing even if single sources yield partial results.
- Modifiable XPath Reference Matrix: Decoupled reference structures that empower power-users to update extraction parameters instantly if upstream site architectures shift.
SKILL.md
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