Web Scraping & Data Automation Services

Web Development Scalable Secure Performance Reliable Long-Term Support

Web Development

We build data collection pipelines - the scheduled job that gathers publicly available information, cleans it, and puts it where your business can use it, instead of someone opening thirty websites and filling in a spreadsheet.

Where a source offers an API we use it, because structured access is more reliable than parsing a page. Where it does not, we build scraping that is designed to be repaired when the page changes, because eventually it will.

When a custom data pipeline is the right call

Off-the-shelf scraping tools are cheap and they are fine for a one-off list. Building your own is worth it when the data feeds a decision you make every day and the collection has to be dependable.

Worth building

The cases where a custom pipeline pays for itself:

Someone spends hours a week copying public information into a spreadsheet
Prices, promotions or availability have to be checked continuously across many sources
The raw data needs real work before it is usable - deduplication, normalization, product matching, category mapping, currency and unit conversion
The result has to land in a system automatically: an ERP, a dashboard, a data warehouse, an internal application
You need to know when a run failed or a source changed, rather than discover it in next month's report

Not a fit

We will say so if you land here:

The data sits behind a login or a paywall, or the source's terms do not allow collecting it
It is a one-off list of a few hundred rows - that is an afternoon of manual work, not a project
Nobody has decided what the data is for; the pipeline will be rebuilt the moment they do

What you get

Collection from public websites, search results, directories, product catalogs, public APIs and government or industry portals
Cleaning and validation: duplicates removed, formats normalized, values checked, missing records flagged
Transformation into the structure your systems expect - matched products, mapped categories, converted units and currencies
Scheduled runs - hourly, daily, weekly, on a custom schedule, or triggered by an event in your own systems
Monitoring and alerting on failed jobs, missing records and data quality, so the pipeline is not a black box
Collection built to cope with layout changes, pagination, dynamic content and rate limits
The repository, the hosting and the service accounts - in your name, documented

Where the data lands

Collected data is worth little until it reaches the place a decision is made. We deliver it into ERP and CRM systems, e-commerce platforms, business intelligence tools, data warehouses and databases, internal applications, reporting dashboards, spreadsheets, or a REST API of your own.

How we build it

We start from the decision the data supports, then work back to the sources and how fresh it has to be
Sources are assessed first - an available API always beats scraping the page in front of it
Pipelines are written to be repaired, because public websites change and one of them always will
Runs are logged and monitored, with alerts when a source stops returning what it used to
Delivery into your systems is built and tested alongside the collection, not bolted on afterwards
Maintained as sources, integrations and requirements change

Frequently Asked Questions

Is web scraping legal?

It depends on the source website, its terms of use, the applicable law and the type of data. Emporica builds solutions for collecting publicly available data, and we encourage clients to check the compliance requirements that apply to their own use case.

Can you scrape websites that don't provide APIs?

Yes. Many sites offer no API, and a custom solution can extract publicly available information directly from the pages where that is appropriate.

How often can data be collected?

From near real-time through hourly, daily and weekly to fully custom intervals, depending on what you need and what the source can reasonably sustain.

What happens if a website changes?

Sources change, and that will affect collection. The pipelines are built with that in mind so an update is a small change rather than a rewrite, and monitoring tells us a source has changed instead of the data quietly going stale.

Can scraped data be integrated with our internal systems?

Yes. Collected data can feed ERP systems, CRM platforms, e-commerce applications, business intelligence tools, databases, data warehouses, internal software and custom APIs.

Who owns the pipeline, and do you maintain it?

You do - the code, the repository, the hosting and the service accounts. Emporica offers ongoing support to keep collection running as websites and requirements change, but your business is never locked to us.

Discuss Your Data Automation Project

Tell us which sources you depend on, how fresh the data has to be, and where it needs to land. You will be talking to the developer who would build it.

Start Your Project