For companies that depend on comprehensive, up-to-date job market data, manually tracking postings across hundreds of career sites is not practical, and brittle scrapers break the moment a site changes its structure or rendering approach. A resilient scraping infrastructure that handles dynamic pages and evasion at scale turns that fragmented effort into a single, continuously refreshed feed. That gives recruiting platforms and data teams a dependable source of listings without dedicating engineering time to babysitting scrapers.
Web Scraping
200K+ Job Listings Aggregator
Massive-scale scraping solution aggregating job listings from Greenhouse, Lever, and 100+ career pages. Handled dynamic rendering and reliable large-scale extraction.
Tech Stack
Technologies Used
Tools and platforms used to build this solution.
Scrapy
Playwright
Zyte
Python
JSON
Process
How It Works
A closer look at the workflow behind the results.
1
Multi-Source Crawling
Scrapy crawlers, backed by Playwright for JavaScript-heavy pages, pull listings from Greenhouse, Lever, and 100+ career sites.
2
Reliable Data Collection
Zyte's proxy and rendering infrastructure keeps large-scale scrapers running reliably against dynamic sites.
3
Structured Data Delivery
The collected listings are cleaned, de-duplicated, and delivered in a structured format that is ready for analysis or integration.
Metrics
Results & Impact
Measurable outcomes that demonstrate the value delivered.
Project result
Project result
Project result
Project result
Why It Matters
Business Impact
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