You will get a custom Python automation script for structured business data workflows
Project details
You will get a clean, structured dataset extracted from any public website or API, ready to use in your reports, dashboards, or workflows. I build custom Python data extraction tools tailored to your source, not generic templates, so the data is accurate and complete even with pagination, dynamic content, or multiple pages. Every dataset goes through a validation step to catch duplicates, missing values, and formatting issues before delivery. All data is collected from publicly accessible sources or via authorized APIs, in compliance with each website's terms of service. I also document the code so it's easy to re-run or hand off later, and I'm happy to set up scheduled/automated runs if you need the data to stay current over time.
Programming Languages
PythonWhat's included
| Service Tiers |
Starter
$60
|
Standard
$150
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 0 | ||
Install Script | - | - | - |
Test Script | - | - | - |
Task Automation | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20
Scheduled/Automated Runs (APScheduler setup)
(+ 2 Days)
+$50About Godstime
Python Developer | Data Engineer | ETL & API Automation | SQL
Uyo, Nigeria - 3:12 am local time
My work focuses on pulling data from APIs and websites, then cleaning, transforming, and validating it using Python, Pandas, and NumPy before delivering structured outputs that power reporting, automation, and business workflows. I'm comfortable working across the full data pipeline, from ingestion to database storage to final output, and I review code for easy maintenance and extendsion.
Core skills:
• Python automation and scripting
• Web scraping and data extraction
• API integrations and data ingestion (REST APIs)
• Data cleaning, transformation, and validation
• SQL querying and database operations (PostgreSQL, SQLite)
• ETL and data pipeline development
• Data engineering and data integration
• Logging, monitoring, and workflow automation
Projects I've built include:
• A real-time cryptocurrency data pipeline ingesting market data from multiple APIs, with validation, transformation, historical storage, and automated alerting on market activity
• A PostgreSQL data warehouse joining flight delay and historical weather data from separate sources for analysis
• Automated web scraping systems for structured data collection
• API-driven data extraction and ETL workflows
Technologies: Python, SQL, PostgreSQL, SQLite, Pandas, NumPy, Git/GitHub, REST APIs, APScheduler, Docker, CSV/Excel/JSON
I'm currently seeking Data Engineer, Python Automation, Data Operations/ETL, and Data Extraction/Web Scraping roles where I can build reliable data systems and keep growing through real-world projects.
Steps for completing your project
After purchasing the project, send requirements so Godstime can start the project.
Delivery time starts when Godstime receives requirements from you.
Godstime works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements and confirm scope
Confirm the source(s), data fields, and delivery format before starting extraction.
Build and test the extraction tool
Develop a custom Python extraction tool for your specific source and verify it captures all required fields correctly.