Job Scraping & Job Data Pipelines

The Problem

Every job board faces the cold-start problem: you need jobs to attract job seekers, and job seekers to attract employers. Scraping solves the supply side, but most teams underestimate the complexity. Career sites change their markup weekly. ATS platforms serve job listings through JavaScript rendering that basic scrapers can't handle. Deduplication across sources is a constant battle. And once you're processing hundreds of thousands of jobs daily, reliability and monitoring become as important as the scraping itself.

Then there's the pipeline: raw scraped data is messy. Different date formats, inconsistent location strings, missing salary fields, HTML artifacts in descriptions. Without a proper ingestion and enrichment pipeline, your search results and category pages reflect that mess directly to job seekers.

How I Work

I've worked with every major scraping vendor in the market. I know their pricing, capabilities, coverage gaps, and failure modes. I use that knowledge to help you build a sourcing strategy — not just pick a vendor.

Sourcing Strategy. Direct employer scraping, ATS feed integrations, programmatic backfill from aggregators, and sponsored job feeds. Each source has different cost structures, data quality profiles, and legal considerations. I help you build the right mix for your market and budget.

Scraping Architecture. For custom scraping needs: headless browser setups (Playwright, Puppeteer) for JS-rendered sites, proxy rotation, rate limiting, change detection, and monitoring. Architected to process millions of jobs daily with alerting on coverage drops.

Job Data Pipeline. Ingest → normalize → deduplicate → classify → enrich → index. Every step is automated. Location strings get geocoded. Job titles get normalized and classified. Salary data gets extracted and standardized. Duplicate jobs across sources get merged. The output is clean, structured data ready for your search index, email alerts, and SEO pages.

Backfill & Monetization. Sponsored job feeds from networks like Appcast, Joveo, or Talent.com can serve dual purposes: filling content gaps in underserved categories while generating CPC revenue. I help you set up the feed integration, bidding logic, and tracking.

Technologies & Tools

Playwright, Puppeteer, Scrapy, custom Python scraping frameworks, proxy services (Bright Data, Oxylabs), ATS APIs (Greenhouse, Lever, Workday, SAP SuccessFactors), Elasticsearch, PostgreSQL, Redis, Airflow/Prefect for orchestration.

Results

• Designed scraping architectures processing millions of jobs daily across multiple European markets.
• Built job data pipelines powering search, alerts, and SEO for aggregators scaling from zero to 15K+ daily unique visitors.
• Vendor evaluation and sourcing strategy for job boards entering new geographic markets.

Job data is the foundation. Everything else — search, SEO, alerts, monetization — depends on getting this right. Let's talk sourcing.