Data Scraping Pipeline

Automated data collection with scheduling

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.