How to Scrape Product Data from Websites Using Python and Save as CSV

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A step-by-step tutorial published on DEV Community walks beginners through building a Python web scraper that collects product names and prices from a website. The script uses three libraries — Requests, BeautifulSoup4, and Pandas — to download page content, parse HTML, and export data to a spreadsheet file. Developers are guided through identifying HTML elements using browser developer tools and looping through product listings to extract relevant fields. The tutorial also covers common errors such as 403 Forbidden responses and missing HTML attributes, along with practical fixes for each. The complete source code is available on GitHub, and no prior scraping experience is required to follow along.

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