IKEA Web Scraper

A Python + Selenium scraper for collecting structured product data from IKEA’s website.

Extracts price, description, images, and URLs into a clean schema for downstream analysis and machine learning.

Built as the data foundation for a furniture price prediction model.

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Example Schema

results_dict = {
    "id": [],
    "url": [],
    "price": [],
    "description": [],
    "images": [],
    "source": []
}

Stack

• Python
• Selenium
• JSON / CSV data storage

Run locally

pip install selenium
python scraper.py

Why this exists

Structured product data enables machine learning, pricing analysis, and product insights. This scraper was built as part of an end-to-end ML pipeline for predicting furniture prices.