Web Scrapping

200K+ Job
Listings Aggregator

Built a high-performance scraping infrastructure that aggregates job listings from Greenhouse, Lever, and 100+ career pages into a unified system. Designed to handle dynamic rendering, JavaScript-heavy sites, and anti-bot protections, the solution delivers clean, structured, and continuously updated job data at scale.

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Job Listings Aggregator
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Tech Stack

Technologies Used

Built with cutting-edge technologies to ensure scalability, reliability, and performance

Scrapy Scrapy
Python Python
Playwright Playwright
Zyte Zyte
Process

How It Works

A closer look at the automated 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

Anti-Bot Evasion

Zyte's proxy and rendering infrastructure routes requests around anti-bot protections, keeping scrapers running against dynamic sites.

3

Structured Data Delivery

Raw listings are normalized into a consistent schema and published as a continuously updated, unified job feed.

Metrics

Results & Impact

Measurable outcomes that demonstrate the real-world value delivered to the client

Aggregated job listings from 100+ sources, centralizing 10,000+ postings weekly.
Handled dynamic & JS-rendered sites with 98% data extraction reliability
Maintained anti-bot and detection resilience, reducing scraping failures by 70%
Enabled scalable, high-throughput architecture processing 50,000+ records/week
Why It Matters

Business Impact

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 anti-bot defenses 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.

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