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Fiverr Pro
English
$
USD
I will build a python web scraper and ecommerce price tracker
About this Gig
As a Software Engineering student at the University of Dodoma, I specialize in building custom Web Scraping and Data Science tools. I have successfully developed local solutions like an E-commerce Price Tracker for the Tanzanian market and Stock Price Prediction models.
Whether you need to monitor competitors on Kilimall and Jumia or predict market trends using Machine Learning, I provide clean, efficient, and actionable data.
What I Offer:
- Custom Web Scraping: Extraction from any e-commerce site, real estate portal, or directory.
- Price Tracking & Monitoring: Automated scripts to alert you when prices change.
- Data Analysis & Visualization: Beautiful charts and insights using Python (Pandas, Matplotlib).
- Machine Learning & AI: Predictive models for stock prices or market trends (ML/AI).
- Clean Code: Well-documented Python scripts that are easy to run.
Why Choose Me?
- Engineering Background: I don't just "scrape", I build robust, scalable software.
- Local Expertise: Deep understanding of the Tanzanian e-commerce and financial landscape.
- Fast Delivery: Optimized for performance and speed.
- Student Pricing: Professional quality at an introductory price for new clients.
Industry:
Technology & internet
Platform:
Other
Language:
Other
My Portfolio
FAQ
Q: Which programming languages and tools do you use?
A: I primarily use Python with libraries like BeautifulSoup and Scrapy for web scraping, Pandas for data analysis, and Scikit-learn or TensorFlow for Machine Learning and AI projects.
Q: In what format will I receive the data?
A: I can provide data in your preferred format: CSV, Excel, JSON, or even direct integration into a SQL database or Google Sheets.
Q: Do you offer custom dashboards for the Price Tracker?
A: Yes! In the Premium package, I can build a web-based dashboard using Streamlit or Flask so you can visualize your price trends in real-time.
Q: Is your E-Commerce price tracker model 100% accurate?
A: In Data Science, no model is 100% accurate. However, I use advanced ML algorithms to provide the highest possible statistical probability based on historical data. It is a powerful tool for informed decision-making.
