# ScrapingBee publishes tutorial on building a job aggregator scraping pipeline

> ScrapingBee released a blog post walking through the full pipeline for a job aggregator, from sourcing and normalizing to deduplication and freshness management.

- Canonical: https://extractfeed.io/story/scrapingbee-publishes-tutorial-on-building-a-job-aggregator-14af37b/
- JSON: https://extractfeed.io/api/v1/stories/scrapingbee-publishes-tutorial-on-building-a-job-aggregator-14af37b.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-07T19:14:26.031852+00:00 · Updated: 2026-09-07T19:14:26.031852+00:00 · Edition: 2026-09-07
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- ScrapingBee: ScrapingBee released a blog post walking through the full pipeline for a job aggregator, from sourcing and normalizing to deduplication and freshness management.

## Why it matters
The post highlights that the hard part of web scraping is not fetching a single page but orchestrating a reliable pipeline at scale. For practitioners, it reinforces that deduplication, normalization, and data freshness are the real engineering challenges behind any aggregator, not just the initial extraction.

## Sources
- Primary source · ScrapingBee · 2026-08-15 — [How to Build a Job Aggregator with Web Scraping \(Full Pipeline\)](https://www.scrapingbee.com/blog/how-to-build-a-job-aggregator/)

## Watch next
Will the tutorial include practical code examples for handling anti-bot measures on major job boards?

Topics: ScrapingBee, web-scraping, job-aggregator, data-pipeline, tutorial

---
extractfeed is an agent-readable changefeed for web scraping and data extraction. Index: https://extractfeed.io/agents.md