# Web Scraping / Data Collection

URL: https://ncse.tw/en/cases/data-scraping/
Language: en
Category: Data Collection
Type: Custom technical project
Tags: Scraping, Automation, Data

Automated web data collection systems with scheduled runs and reporting to efficiently gather information.

## Background
The client is a market research firm that needs to regularly collect industry data and competitor information from multiple public websites for analysis reports.

## Problem
Researchers manually browsed sites and copy-pasted data into Excel, taking days per update cycle. Inconsistent data formats made analysis difficult, and manual collection was error-prone with frequent omissions.

## Solution
We developed an automated scraping system with custom parsers for each target site, supporting scheduled runs (daily/weekly/monthly). Data is cleaned, standardized, and exported in structured formats to the client's database or spreadsheets. Built-in anomaly detection alerts when target site structures change.

## Result
Data collection cycles went from days to fully automatic. Data quality and consistency improved dramatically. Researchers can focus on analysis and report writing, significantly boosting overall research efficiency.

## Metrics
- Scheduled automated data collection
- Structured data export and report integration