WEB DATA
Websites & public pages
Listings, public pages, directories and other recurring web content transformed into structured records.
Data Collection & Mining.
I build tailored workflows to collect structured information from websites, APIs, files and other digital sources, turning scattered inputs into data that is ready to use.
Python
Web Scraping
APIs
Crawlers
Data Extraction
Multi-source Integration
SQL
THE PROBLEM
The data you need is not always sitting in a spreadsheet.
Useful information is often scattered across websites, APIs, files and disconnected sources. I build tailored data-collection workflows to bring that information together in a structured and reusable form.
WHAT I CAN COLLECT
From public websites to structured APIs and internal files.
APIs
Structured data feeds
Structured public or private data retrieved from APIs and integrated into reusable collection workflows.
FILES & EXPORTS
Existing data inputs
CSV, Excel, JSON and recurring exports collected, consolidated and prepared for further processing.
MULTIPLE SOURCES
One usable dataset
Information from different sources consolidated into one consistent structure for analysis or reporting.
HOW I WORK
From source identification to a dataset you can actually use.
01
DEFINE THE SOURCE
Start with the information, not the tool.
Identify what data is needed, where it can be obtained and how frequently it needs to be collected.
02
COLLECT THE DATA
Build the appropriate extraction workflow.
Use APIs, web extraction, file ingestion or a combination of methods depending on the available sources.
03
VALIDATE & STRUCTURE
Make sure the output is usable.
Check expected fields, formats and completeness while organising the collected information into a consistent structure.
04
DELIVER THE OUTPUT
From dataset to reusable process.
Deliver the resulting data in an appropriate format or package the collection logic into a workflow that can be run again.
TYPICAL PROJECTS
When the data exists, but getting it into usable form is the hard part.
01
MARKET & COMPETITOR DATA
Turn public information into a structured market dataset.
Collect products, prices, listings, directories or other publicly available information across websites and transform it into records that can be compared and analysed.
02
RECURRING DATA COLLECTION
Replace repetitive collection work with a reusable process.
Automate data that currently has to be downloaded, copied or assembled manually on a recurring basis.
03
MULTI-SOURCE CONSOLIDATION
Bring disconnected sources into one structure.
Combine APIs, files, exports and web-derived information into a consistent dataset with common fields and formats.
04
DATA FOR ANALYSIS OR MODELLING
Build the dataset before the analysis begins.
Collect and structure the raw information required for statistical analysis, reporting, research or machine-learning workflows.
HAVE A DATA PROBLEM?
Let’s figure out what can be done with it.
Tell me what you are trying to collect, clean, understand or automate. I can help turn it into a concrete analytical project.