You will get clean scraped data for your business


Project details
High-quality data is key to success for your business. I can scrape a huge amount of data in a short period of time.
I take care of all the technical details to provide clean data for your business.
I have experience in web scraping real estate, e-commerce, news and other websites. My clients use it for Price monitoring, Market Analytics, Lead Generation, Reputation monitoring and News monitoring.
I take care of all the technical details to provide clean data for your business.
I have experience in web scraping real estate, e-commerce, news and other websites. My clients use it for Price monitoring, Market Analytics, Lead Generation, Reputation monitoring and News monitoring.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Pages Mined/Scraped | 10000 | 20000 | 50000 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Number of Revisions | 2 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100About Bogdan
Data Engineer | Python | ETL | SQL | Scraping
Kyiv, Ukraine - 9:01 pm local time
💻 I work on:
- Scrapers creation for e-commerce, real estate, and other websites. Can scrape simple single-page websites and complex portals with JavaScript and thousands of pages.
- Cleaning data from different sources and performing all operations to ensure data quality.
- Storing data in multiple databases, various file formats, or cloud services like Google Sheets.
- Creating charts, tables, and reports to visualize and work with existing data.
- Automating ETL processes, including code deployment, launching periodic tasks, and more.
- Building web applications (APIs) for data distribution.
- Integrating AI-driven solutions into web projects to enhance functionality.
👨🏻💼Experience:
In recent years, I worked full-time for a US company that provides real estate market analysis.
🫡I was responsible for:
- Developing and maintaining hundreds of scrapers for single-page websites and large platforms with JavaScript and protections.
- Supporting an automated weekly scraping process and creating logs and metrics.
- Data cleaning solutions, addressing polluted data from multiple sources. We processed 100k to 1M records during each scraping.
🏆 Achievements
- I adopted asynchronous scraping techniques that significantly reduced scraping time, solving bottlenecks. My teammates started using my module.
- I developed a filtering pipeline that automatically separated polluted data we couldn't clean manually.
- I created metrics and reports to help us understand the quality of our data.
- I implemented a comprehensive logging system that was more robust than what my teammates had been using.
💪Skills
Technical: Python, FastAPI, Streamlit, AsyncIO, Aiohttp, Scrapy, Splash, Requests, Selenium, Pandas, Numpy, LXML, Pydantic, Beautiful Soup, Flask, Django
Databases: SQL, MongoDB
DevOps: Git, CI/CD, Docker, Docker-Compose, Makefile, Traefik, Celery, RabbitMQ, Jenkins, Uvicorn, Shell Script, Linux, Windows
Cloud Services: Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure DevOps, Cloudflare, GoDaddy
Monitoring Tools: Sentry, NetData, UptimeRobot, Google Analytics, LogRocket Analytics
Services: ChatGPT API, Google Cloud Storage, Google Translate API, Google Text To Speech API, Google Sheets API, Nominatim API
Steps for completing your project
After purchasing the project, send requirements so Bogdan can start the project.
Delivery time starts when Bogdan receives requirements from you.
Bogdan works on your project following the steps below.
Revisions may occur after the delivery date.
Deliver draft result
At this stage, I will provide a draft with the results
Edits incorporation
If there are some edits required I will make changes to the draft


