Flask Web Scraper — collecting data via web interface

Project overview

The user opens a page with a form, enters the target URL and scraping parameters (for example, CSS selectors or keywords), starts the scraping, and receives structured data in a table.

🌐 Form for entering URL and scraping options.
📊 Tabular output of results.
🛡 Error handling (unreachable site, invalid URL, timeouts).
📎 Ability to quickly repeat scraping with different parameters.

View GitHub repository

Tech stack

Flask (routes and templates)
requests for HTTP requests
BeautifulSoup (or similar) for HTML parsing
Jinja2 templates for displaying tables

Goal of the project

To demonstrate the ability to build a simple but useful web tool for non-technical users on top of web scraping with Python.

Type: pet project / internal tool
Role: Python & Flask developer (solo)

My responsibilities

Designed the Flask application structure (routes, templates, logic).
Implemented scraping logic and basic validation of user input.
Configured friendly tabular output for scraped data.
Handled 4xx/5xx errors, timeouts and invalid selectors.

Flask Web Scraper — collecting data via web interface

Project overview

Tech stack

Goal of the project

My responsibilities

Typical user flow

What this project says about me