File/Excel script
For recurring files
Recurring cleaning, validation or transformation.
- CSV/Excel
- validation
- export
- instructions
Custom Scripting
and web scraping.
Extract data from websites reliably, automate massive Excel sheets, and bridge legacy systems with high-performance custom scripts.
The Problem: Locked Data & Repetitive Manual Sourcing
Often, the data your business needs is locked away on public websites without APIs, or trapped inside messy spreadsheets. Sourcing or cleaning this information manually is a tedious chore that is highly prone to errors.
What We Can Build Together
I develop high-performance, robust scripts in C, Python, or Go for automated data manipulation:
Controlled Web Scrapers to monitor competitor prices and catalog data
Spreadsheet Automation Scripts for Excel/CSV cleaning and validation
Custom API Clients to bridge legacy software and cloud tools
Secure Automated Database Backup and Sync Systems
Practical Use Cases
Optimized, efficient and secure code to process data at scale.
Competitor Price Sourcing
A scraper collects competitor pricing data daily from public e-commerce platforms and generates an automated comparative spreadsheet.
Messy Spreadsheet Cleaning at Scale
A script parses thousands of messy data rows, validates structures (emails, phones, tax IDs), and generates a clean file ready for CRM import.
Legacy Database Connector Bridge
A secure script that extracts raw data from an older database without native APIs, formats it, and syncs it with your modern cloud platform.
Scripting and scraping offer
Clean data and automatic processes are worth more than hours of copying.
Scripts and scrapers are useful for recurring data collection, massive transformations, file checks or integrations standard software cannot handle.
I develop Python, Go, TypeScript or C scripts where performance matters, with logging, validation, CSV/Excel handling, APIs, scheduling and error management.
Best fit
- Businesses cleaning, validating or transforming recurring files.
- Teams monitoring public data, catalogs or availability in a controlled way.
- Projects requiring API integrations or bridges between legacy and cloud systems.
Deliverables
- Documented script with clear parameters and predictable output.
- Parser, scraper, API integration, report or file automation.
- Logs, error handling, rate limits and tests on sample data.
- Execution instructions and maintenance notes.
Risk reduction
- I check technical feasibility and site terms before scraping.
- Outputs are verifiable through files, logs, reports or databases.
- Scripts can start small and become scheduled automations later.
Process
One continuous flow from framing to launch: each phase produces decisions and materials for the next.
01
Data sample
We analyze real inputs, formats, exceptions and desired outputs.
02
Rules
We define transformations, limits, validation and frequency.
03
Build
I build the script with logging and error handling.
04
Handover
I document usage, parameters and maintenance.
Project formats
Scope depends on data sources, formats, technical limits, available APIs and execution mode.
Controlled scraper
For public data
Public data collection with limits, logs and structured output.
- parser
- rate limit
- logs
- dataset
API integration
For systems with APIs
System connection, synchronization or automated reports.
- API
- auth
- sync
- monitoring
Is scraping always possible?
No. It must be evaluated against terms, data type, frequency and technical impact.
Can you automate Excel files?
Yes, especially for recurring rules, validation and reports.
Do we need a server?
Only if the script must run automatically.
How do you manage changes?
With logs, validation and maintenance for external format changes.
Have a file, source or process to automate?
Send a real example or describe the output you want.
Average reply within 2 business hours
Need Custom Scripts or Automated Data Sourcing?
Let's build a fast, reliable, and secure script to handle all your automated data processing needs.
GET A QUOTE FOR A DATA PROJECT