For teams with repetitive data work

Data Automation and Web Data Collection

Your team loses hours every week to copying, pasting and repeating the same report. We automate that work in Python: collecting data from websites and files, cleaning it, combining it and producing the same report on schedule. Documented, tested and built to remove copy and paste errors.

Request a free assessment See how it works

Best forTeams with recurring data tasks

BuildsPython pipelines and scheduled reports

IncludesWeb data collection where permitted

OutputClean tables, Excel files, dashboards

The short answer

What is data automation?

Data automation uses scripts to perform repetitive data tasks without manual effort: downloading or collecting data, cleaning and merging it, and generating reports or updating dashboards on a schedule.

Web data collection, often called web scraping, gathers publicly available information from websites into a structured table. Done responsibly, it respects website terms, robots.txt rules and privacy laws.

Before and after

Where data automation fits in your reporting workflow

Most teams lose hours every week copying data between files and repeating the same report. We automate the steps that repeat, but we start by mapping the current process, so the automation fits how the team really works.

Operations teamCurrent process

Runs the report by hand, step by step.

Our part: Maps each step and marks the parts that repeat or cause errors.

IT administratorSource access

Grants approved access to files, databases or sites.

Our part: Confirms the data sources are allowed and documents how they are accessed.

Automation developerBuild the pipeline

Writes the code that collects, cleans and combines data.

Our part: Builds the pipeline in Python, with checks at each step and clear logging.

Process ownerTesting

Compares automated output with the manual report.

Our part: Runs side-by-side tests until the outputs match on agreed checks.

IT or operationsScheduling

Sets the schedule and alerts for failures.

Our part: Adds alerts so failed runs are noticed, not silently skipped.

Process ownerMaintenance

Reviews output and requests changes.

Our part: Documents the code and the steps, so the team can maintain it.

Who it is for

Built for teams like yours.

Operations and finance teams

Monthly reports and reconciliations that run themselves.

Research and market teams

Structured data collected from public web sources for analysis.

Small businesses

Price, product and listing monitoring without manual checking.

What you get

Clear deliverables, agreed up front.

Reliable automation you can understand and maintain. Every project is quoted as a fixed price after a free assessment, so you know the cost before work begins.

A process review to find what is worth automating
A documented Python pipeline
Web data collection where legally and technically appropriate
Automatic cleaning and validation checks
Scheduled outputs to Excel, CSV or dashboards
A handover guide and support period

Packages and pricing

Pick the depth you need.

Starting prices are shown for each option. Your final price is a fixed quote, agreed after a free assessment of your data and scope, so there are no surprises.

Automate one repeated task

Single Report

One recurring report or data task, automated and tested.

From $500fixed project

Mapping of the current process
Python script for one report
Side by side test with the manual version
Run guide

Get a fixed quote

Recommended for repeated reporting

Data Pipeline

Several sources collected, checked and combined on a schedule.

From $1,200fixed project

Everything in Single Report
Multiple files, databases or sites
Validation checks at each step
Scheduling and failure alerts
Documented code

Get a fixed quote

Keep it running

Care Plan

Monitoring and small fixes when sources or formats change.

From $150per month

Monthly run review
Fixes for source changes
Small improvements on request

Get a fixed quote

How it works

Four steps from question to answer.

Step 1
Map the task
We document the manual steps and time spent.
Step 2
Build
We write and test the pipeline on real data.
Step 3
Validate
We compare automated output with your manual results.
Step 4
Schedule
We set it to run on schedule and hand it over.

Questions we help you answer

If you are asking these, we can help.

Python and pandas pipelinesExcel and CSV automationWeb data collectionAPIs and data feedsSchedulingValidation checksDocumentation

Tools we use

PythonpandasSQLExcelPower BI

?Can this weekly report build itself?
?Can we track competitor prices automatically?
?Can we combine these files without copy and paste?
?Can we collect this public data into a table?
?How do we know the automation is correct?
?Who maintains it if something changes?

FAQ

Questions about Data Automation and Web Data Collection

Cannot see your question? Ask it in the enquiry form and you will get a direct answer.

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Is web scraping legal?

Collecting publicly available data can be lawful, but it depends on the website’s terms, the type of data and the laws that apply. We review these before starting and decline projects that are not appropriate.

What kinds of tasks can you automate?

Recurring reports, file merging, data cleaning, data collection from websites or APIs, and updating Excel files or dashboards.

Do we need to install anything?

Usually only Python, which is free. We can also run automations in the cloud if you prefer.

What happens if a website changes?

Web pages change from time to time. We build checks that alert you when output looks wrong and offer maintenance support.

Can you automate our Excel reports?

Yes. Automating repeated Excel reporting is one of the quickest wins, often turning hours of work into minutes.

Our services

All eleven services

Services overview

AI, automation and coaching