You will get a reliable Python web scraper with clean, validated data
Project details
You will get a reliable Python web scraper tailored to your target website and business needs — with clean, structured, validated output instead of a fragile one-off script.
I build data collection solutions with Python, Scrapy, Playwright, REST APIs, XPath/CSS selectors, PostgreSQL, and JSON/CSV workflows. My production-focused approach includes field validation, duplicate handling, clear error reporting, and maintainable code.
Depending on the package, delivery can include:
• Data extracted from public or authorized sources
• Clean CSV, JSON, Excel-compatible, API, or database output
• Reusable Python source code
• Deduplication and field-level validation
• README and run instructions
• Logging, scheduled-run, or deployment guidance
Before development, I review the target structure, requested fields, expected volume, and access constraints. If the site is highly dynamic or protected, I will confirm feasibility and scope first. I do not bypass access controls or scrape private data without authorization.
Send the URL and required fields, and I will recommend the right package.
I build data collection solutions with Python, Scrapy, Playwright, REST APIs, XPath/CSS selectors, PostgreSQL, and JSON/CSV workflows. My production-focused approach includes field validation, duplicate handling, clear error reporting, and maintainable code.
Depending on the package, delivery can include:
• Data extracted from public or authorized sources
• Clean CSV, JSON, Excel-compatible, API, or database output
• Reusable Python source code
• Deduplication and field-level validation
• README and run instructions
• Logging, scheduled-run, or deployment guidance
Before development, I review the target structure, requested fields, expected volume, and access constraints. If the site is highly dynamic or protected, I will confirm feasibility and scope first. I do not bypass access controls or scrape private data without authorization.
Send the URL and required fields, and I will recommend the right package.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$80
|
Standard
$180
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Pages Mined/Scraped | 500 | 3000 | 10000 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
About Viktoriia
Database Management & Administration | Jira, Postman, Python, SQL
Warsaw, Poland - 1:22 am local time
*Test cases/checklists/bug reports
*Regression/Smoke/Exploratory testing
*Jira/TestRail
*Working with logs/devtools
*Cross-functional collaboration with developers and managers
*QA process setup and team mentorship
*Python
* SQL
Steps for completing your project
After purchasing the project, send requirements so Viktoriia can start the project.
Delivery time starts when Viktoriia receives requirements from you.
Viktoriia works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm scope and source access
I review the target, requested fields, output format, volume, and access constraints before development starts
Build and validate the scraper
I develop the Python scraper, clean and deduplicate the output, then test expected fields and edge cases