Web Scraping & Data Pipeline Services in Australia
If the data's online, we can get it. JDML builds production web scraping systems and data pipelines for Australian businesses that need live market data, competitor intelligence, price feeds, filings, reviews, and any other signal that lives on the public web. Every scraper we build is designed for production from day one: anti-bot handling, schema drift protection, retries, observability, and data quality checks included.
Why Australian businesses need web data infrastructure
Manually checking competitor prices, tracking new listings, or exporting spreadsheets from supplier portals is slow, error-prone, and impossible to scale. A properly engineered scraping pipeline runs continuously, alerts you when something changes, and feeds the dashboards, models, and agents that help you act. We've built these systems across retail, property, finance, logistics, and media for Australian clients and international businesses targeting the Australian market.
What we build
Our data pipeline engagements typically cover the full stack: scraper development with Playwright, anti-bot and proxy infrastructure, structured extraction using LLMs where appropriate, ingestion onto Google Pub/Sub, warehousing in BigQuery, and dashboards or alerting on top. We also integrate with existing systems via API or webhook so data flows into the tools your team already uses.
Testing, reliability, and operations
A scraper that works on day one and silently fails by week three is worse than no scraper. We build schema change detection, dead-letter queues, automated data quality checks, and alerting into every pipeline. Before launch, every pipeline goes through functional testing, load testing, and edge-case review. After launch, we monitor uptime, ingestion rates, and data freshness continuously.
- →Large-scale web scraping with Playwright
- →Anti-bot and rate-limit handling
- →Structured extraction and enrichment with LLMs
- →Change detection and schema drift alerts
- →Event-driven ingestion on Pub/Sub
- →BigQuery warehousing and analytics layers
- →Data quality checks and validation
- →Scheduled and real-time pipelines
Competitor monitoring, market intelligence, and live pricing feeds
Dashboards and web products that depend on reliable public-web data
Teams replacing manual research and reporting with repeatable systems
Questions we get.
Can you scrape sites that use anti-bot protection?
Yes. We handle rotating proxies, browser fingerprint randomisation, CAPTCHA mitigation, and rate limiting as standard. We design for longevity so scrapers don't break at the first site update.
How do you handle sites that change their structure?
We build schema change detection into every pipeline. When a site changes layout, the pipeline flags it, alerts us, and queues the data for review rather than silently ingesting broken records.
Where does the data end up?
Typically BigQuery on Google Cloud, which gives you SQL access, easy integration with Looker Studio or other BI tools, and a clear audit trail. We can also push to Postgres, S3, or directly into your existing systems.
Ready to get started?
Tell us about your project. We reply within 24 hours, always from the engineers.
Get in touch