Structured web data, built for production workflows See how it works
About GetParsing

About GetParsing

GetParsing is a specialist web data collection company serving international clients.

We build and maintain custom workflows that collect publicly accessible information from online retailers, marketplaces, directories and other web sources and deliver it as structured data.

GetParsing is designed for teams that need web data but do not want collection maintenance to become a permanent distraction.

Capacity and experience

GetParsing in numbers

2020Operating since
20developers
500websites monitored

What we focus on

Our work is centred on custom web scraping, competitor price and assortment monitoring and data feeds for client systems.

We focus on collection, validation and delivery. Clients use the resulting data in their own analytics, pricing, product, BI and software environments.

Why clients use a managed service

Recurring web data collection requires more than an initial script. Websites change their design, page structure, regional logic, data-loading methods and access controls. A production workflow needs monitoring, validation and maintenance.

Our team manages this operational layer so clients can focus on using the data.

How we work

Our working principles

Define the data before the technology

We begin with the business requirement, required fields and expected output.

Confirm feasibility before making promises

Every source is reviewed individually. We explain technical limits, maintenance risks and practical alternatives.

Deliver structured outputs

Data is prepared for business use in formats such as CSV, XML, JSON and Excel.

Maintain recurring workflows

We monitor ongoing projects and update collection logic when source changes affect delivery.

Collect responsibly

We work with publicly accessible information and avoid unnecessary load. Each project must be assessed according to its data type, source, jurisdiction and intended use.

Operating principles

Principles

Define useful output before choosing collection techniques

Keep provenance and validation visible

Treat source changes as an operating reality

Avoid unsupported promises and hidden complexity

Work with GetParsing

Talk to a team that works with web data every day

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