source-tenders

Scrape Taiwan PCC tenders and generate structured HTML reports.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/popodidi/harvis --skill source-tenders
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: source-tenders
Source: https://github.com/popodidi/harvis/tree/main/projects/pcctw/skills/source-tenders
Command: npx skills add https://github.com/popodidi/harvis --skill source-tenders

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, and includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the manual effort of discovering and tracking Taiwan PCC tenders by automating data collection and basic analytics, enabling proactive sourcing and monitoring of procurement opportunities.

Core Features & Use Cases

  • Automated tender scraping: Retrieve notices with budget, deadline, agency, and tender details over date ranges.
  • Analysis and scoring: Apply presets (Software, AI) to rank tenders and generate a unified HTML report.
  • Use case: A procurement analyst wants to identify AI-related tenders with high scores and export a readable report.

Quick Start

  • Scrape tenders for a date range: uv run scripts/scraper.py --start 2026-01-20 --end 2026-01-27
  • Analyze results and generate a report: uv run scripts/analyze.py
  • Open the report in a browser: open analysis.html

Frequently Asked Questions about source-tenders

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

FAQPage Schema
How do I scrape Taiwan PCC tenders automatically for a specific date range?

You can scrape Taiwan PCC tenders by executing the scraper script with start and end date parameters, retrieving notices with budgets and deadlines, and outputting structured data as tenders.json or CSV files.

Can I analyze and rank scraped procurement data for AI opportunities?

Yes, you can analyze and rank scraped procurement data by applying customizable presets like Software or AI to score tenders, generating a unified HTML report for sourcing opportunities and competitive evaluation.

What dependencies do I need to parse Taiwan government tender notices with Python?

Parsing Taiwan government tender notices requires Python packages requests and beautifulsoup4 to fetch HTML pages and extract structured data including dates, budgets, and agency details.

Does this tool export tender data to CSV or HTML for reporting?

Yes, the tool exports scraped tender data to CSV files and generates a unified HTML report, allowing procurement analysts to review ranked AI or Software tenders in a readable browser format.

What's the best way to monitor Taiwan procurement deadlines without manual checks?

The best way to monitor Taiwan procurement deadlines is to run the scraper script over target date ranges to collect PCC notices, then analyze and rank opportunities by deadline in a generated HTML report.