You will get web scraping scripts, cleaned and structured datasets, detailed analysis.


Project details
The objective of this project is to develop a web scraping solution that will gather specific information from target sites identified by you and structure the information obtained in your desired format. Apart from obtaining the required information, I will also carry out data preprocessing, analysis and visualization if desired.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Sources Mined/Scraped | 2 | 5 | |
Number of Revisions | 2 | 4 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$300 - $1,500
Additional Revision
+$50About David
Machine learning Engineer/ AI Engineer
Shagamu, Nigeria - 10:30 pm local time
- Python Programming for Machine Learning & AI Engineering
- Data Preprocessing & Feature Engineering
- Exploratory Data Analysis for Model Development
- Supervised Machine Learning (Classification & Regression)
- Time Series Modeling & Forecasting
- Model Training, Evaluation & Optimization
- Backend Integration for ML Models (APIs & Services)
- LLM Integration & Prompt Engineering
- Data Ingestion, Web Scraping & Automation
- Workflow Automation & Orchestration
Tools, Frameworks & Environments
- Programming & Environments
* Python
* Jupyter Notebook, Google Colab, VS Code
- Data Processing & Analysis
* Pandas, NumPy
- Machine Learning & AI
* PyTorch, Keras(Deep learning)
* XGBoost, LightGBM(Machine learning)
* Hugging Face (Transformers, Datasets)
* LangChain, LangGraph (LLM application development)
* Supervised Learning & Time Series Models
- LLM & AI APIs
* OpenAI API, Gemini API
- Backend & Deployment
* FastAPI (ML/AI service development)
- Visualization & Reporting
* Matplotlib, Seaborn, Plotly, Tableau
- Data Ingestion & Automation
* BeautifulSoup, Selenium
* n8n (workflow automation)
* Selenium, smtplib (task and notification automation)
Steps for completing your project
After purchasing the project, send requirements so David can start the project.
Delivery time starts when David receives requirements from you.
David works on your project following the steps below.
Revisions may occur after the delivery date.
Receive information on data to be scraped.
Here, the client has to specify the data sources and information to be scraped. The client should also specify the format that the data scraped should be stored in e.g csv, xlsx
Carry out Web scraping
I will carry out the webscraping and data preprocessing and any other additional services as specified by the client.



