PYTHON AUTOMATION
Automate data collection, reporting and workflows with Python
We automate repetitive data work across browsers, websites, Excel files, APIs and databases with Python. Operational requirements such as logging, retries and output validation are designed into the solution.
ERP-connected automationSCOPE
What can be delivered with this service?
Web and API data collection
Automated Excel and CSV processing
Scheduled reports and output generation
Data validation, matching and notifications
USE CASES
Solutions tailored to your workflow
Python automation, compliant web scraping, data cleansing, Excel reporting, API integration and scheduled reporting workflows. Project scope is defined by evaluating the current data structure and user needs together.
- ✓Price and listing monitoring
- ✓Daily collection from multiple sources
- ✓Automated generation of Excel reports
- ✓Preparing clean datasets for Power BI
APPROACH
A controlled and transparent delivery process
We first understand the problem and the data, then develop through small, verifiable steps.
- 1
Requirements analysis
Users, process, outputs and success criteria are defined.
- 2
Technical review
Files, data sources, access methods and business rules are reviewed.
- 3
Development and validation
The solution is built and interim results and calculations are validated together.
- 4
Delivery and handover
Usage, maintenance points and required documentation are handed over.
FREQUENTLY ASKED QUESTIONS
Python: frequently asked questions
Can data be collected from any website?+
Technical feasibility, terms of use, access limits and the nature of the data are reviewed first. We do not use unauthorised or non-compliant methods.
Can a Python automation run continuously?+
It can be scheduled on an appropriate server or task runner. Hosting requirements are defined as part of the project.
Can the output feed Power BI?+
Yes. Output can be written to Excel, CSV, SQL or another suitable data layer and connected to a Power BI refresh flow.
FREE DISCOVERY CALL
Let's discuss your Python requirements
Tell us briefly about your current file, data source and target output. We will assess the right solution together.
