Automation
Data scraping & ETL pipeline
Overview
Automated web scraping, data extraction, transformation, and loading into databases, spreadsheets, or dashboards.
Delivery
Data scraping & ETL pipeline Delivery Process
Discover
We map your business, your users, and what winning looks like before a single pixel.
Design
Direction, identity, and interfaces: shared early and reviewed with you at every step.
Build
Engineering in weekly slices you can see, click, and comment on as they land.
Launch
QA, performance, SEO, and deployment handled end to end. Nothing left to chance.
Grow
Support, iteration, and new capabilities as your business scales beyond launch day.
Details
Typical timeline
Per pipeline
Best for
Deliverables & Scope
- → Scraper or ingestion job for each source you name
- → Transformation layer that cleans, de-duplicates, and normalises the data
- → Load into your target: PostgreSQL, MySQL, BigQuery, Sheets, or a CSV drop
- → Scheduling with retry and failure alerting
- → Runbook covering how to add a source or fix a broken selector
Post-Delivery
- → 30-Day Bug Warranty
- → Source Files & Ownership
- → Handover Training Session
Investment
Data scraping & ETL pipeline Investment & Pricing
Indicative starting ranges - every project is quoted to its real scope.
FAQ
Data scraping & ETL pipeline FAQs
How much does a scraping or ETL pipeline cost?
US clients pay $1,000 to $6,000 and Australian clients pay A$1,400 to A$8,500 per pipeline. One scraped source into a spreadsheet sits at the low end. Several sources, heavy transformation, and a warehouse load sit at the top.
How long does a pipeline take to build?
Two to five weeks. A well-documented API source takes days. A JavaScript-heavy site with bot protection takes considerably longer, and part of that time is spent testing whether a stable approach exists at all.
Who owns the scraper and the collected data?
You own the code and the resulting dataset. We hand over the repository and the schedule configuration. Keeping the data current is your responsibility unless you take a maintenance plan.
What happens after launch?
Scrapers break. Sites change their markup, add protection, or alter their layout, and a selector that worked last month returns nothing. We include 30 days of fixes and then offer monitoring so you hear about breakage before your data does.
Is scraping this website legal?
It depends on the site, the jurisdiction, and what you do with the data. Public data is generally safer ground; personal data brings in GDPR and similar rules, and logged-in areas are a different matter again. We flag what we see, but you should get your own legal advice before committing.
What if the target site blocks automated access?
Some sites actively block scrapers, and we will not build something designed to defeat authentication or misrepresent who is requesting. If there is an official API or a paid data feed, that route is more reliable and stays working. Where there is genuinely no option, we tell you rather than promising a workaround.
How fresh can the data be?
Depends on the source's tolerance for request volume. Hourly updates are fine for most public sources. Near-real-time means many requests, which raises the chance of rate limiting or an IP block, so daily or weekly is often the sensible default.
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