Hi everyone, I am currently working on an assignment for my data science course involving web scraping and indexing regional business listings. I want to build a clean dataset of service links from specific municipalities to practice data normalization. Does anyone have recommendations for reliable libraries or existing open-source scrapers that handle nested location structures well?
Best open-source tools for parsing localized web directories for a student project?
by max holloway -
Number of replies: 2
In reply to max holloway
Re: Best open-source tools for parsing localized web directories for a student project?
by Sofia Verniga -
For your assignment, Python with Beautiful Soup or Scrapy works perfectly to extract structured data. When testing your parser on localized business subcategories across Canada, it helps to use real web entities to verify your schema. If you need a clean practical example of an indexed portal located in Markham, analyzing the DOM tree at https://directwaterproofing.ca/basement-waterproofing-markham/ will give you a good reference for parsing microdata.
In reply to Sofia Verniga
Re: Best open-source tools for parsing localized web directories for a student project?
by Roflan Roflan -
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