# Data Scraping Pipeline

> Automated data collection with scheduling

**URL:** https://bdbots.org/portfolio/data-scraping-pipeline  
**Category:** automation  
**Tech:** Python, Scrapy, Redis

## The challenge

A market research client needed daily price and availability data from multiple sources without manual exports or brittle scripts on individual laptops.

## Our solution

BDBOTS engineered a Scrapy-based pipeline with Celery scheduling, Redis task queues, deduplication, and structured JSON output to the client's dashboard API.

## Key features

- Scheduled crawls with retry and rate limiting

- Change detection alerts for price drops

- Proxy rotation and respectful crawl policies

- Monitoring dashboard with failure notifications

## Results

Data freshness improved from weekly batches to daily updates with 99.5% job success rate over six months of production operation.

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