taobao-keyword-search

Parse Taobao/Tmall search results into structured product cards.

5.3k|252|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/browser-act/skills --skill taobao-keyword-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: taobao-keyword-search
Source: https://github.com/browser-act/skills/tree/main/solutions/ecommerce/taobao-keyword-search
Command: npx skills add https://github.com/browser-act/skills --skill taobao-keyword-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automates Taobao/Tmall product discovery by keyword and returns structured product cards from search results, reducing manual scraping effort.

Core Features & Use Cases

  • Keyword-based extraction: capture itemId, title, priceYuan, shopName, imageUrl, salesCount, location, and tags from Taobao/Tmall search cards.
  • Pagination & batch monitoring: navigate pages and run multi-keyword searches for price tracking and competitive research.
  • Use-case example: monitor thousands of Taobao keywords and compile a structured dataset for market insights.

Quick Start

Run the taobao-keyword-search skill with a keyword to fetch the first page of Taobao/Tmall results and return structured product cards.

Frequently Asked Questions about taobao-keyword-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract product data from Taobao search results by keyword?

Taobao keyword search returns structured product cards containing fields like itemId, title, priceYuan, shopName, imageUrl, salesCount, and tags. This automates product discovery and reduces manual scraping effort for single or multi-keyword searches.

Can I scrape multiple pages of Tmall product listings for bulk keyword monitoring?

Yes, Tmall product listings support pagination via the page parameter, enabling bulk keyword monitoring and competitive research. The script parses loaded search results to return structured data across multiple pages.

What specific fields are available when scraping Taobao product cards?

Taobao product card extraction yields fields including itemId, title, priceYuan, shopName, imageUrl, salesCount, location, and tags. These structured outputs support price tracking and market dataset compilation.

Does this Taobao scraping approach work for competitive research across multiple keywords?

This approach works for competitive research by running multi-keyword searches and compiling structured datasets. It captures salesCount and priceYuan data to monitor competitor pricing and market trends across Taobao and Tmall.

What are the limitations of using Python scripts for Taobao keyword search extraction?

Python scripts for Taobao extraction parse loaded search results, meaning they depend on proper page rendering. Anti-scraping mechanisms and dynamic content loading may limit reliability during large-scale batch keyword monitoring.