Overview
Yelp is a popular platform that provides crowd-sourced reviews about local businesses, primarily restaurants, cafes, bars, and other services like salons, spas, and stores. It allows users to rate and review businesses, as well as provide information such as contact details, hours of operation, and location.
Description:
In our Yelp scraping project, we targeted the functionality of Yelp as a comprehensive directory for users seeking businesses based on various criteria such as location and category. Our objective was to extract pertinent data from Yelp’s platform, concentrating on specific categories like restaurants, cafes, and other relevant business types. This involved retrieving essential details including business names, addresses, phone numbers, ratings, reviews, and any other pertinent information accessible on the website.
To accomplish this, we employed sophisticated web scraping techniques tailored to Yelp’s web pages. Utilizing tools like BeautifulSoup or Scrapy in Python, we navigated through the intricate HTML structure of Yelp’s pages, ensuring precise extraction of desired data elements.
Throughout the project, we encountered challenges inherent to scraping data from Yelp’s platform. These challenges included effectively managing pagination to traverse through multiple pages of search results, addressing dynamic content loaded via JavaScript, and adhering to Yelp’s terms of service to maintain legal compliance and ethical data usage.
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