Food Scraper

Create an instance of the PyScrappy library to interact with the class FoodScraper:

Helps in scrapping data from food delivery websites

1. Swiggy2. Zomato

• Type

  ---

  class

• Note

  ---

  Create an object of this class to procced further.

  obj = PyScrappy.WikipediaScrapper()

Swiggy

• swiggy_scrapper()

  Helps in scraping data from the Swiggy webpage ('Name', 'Cuisine', 'Price', 'Ratings').

  Return type

  ---

  pandas.DataFrame

  Parameters

  ---

  city_name: Enter the name of the desired city, from where you want to scrape the resturant data of.
  Type: str

  n_pages: Enter the number of pages that you want to scrape.
  Type: int

  Note

  ---

  Both the arguments are a compulsion. If n_pages == 0: A prompt will ask you to enter a valid page number and the scrapper will re-run.

  obj = PyScrappy()obj.FoodScraper.swiggy_scrapper(city_name, n_pages)

Zomato

• zomato_scrapper()

  Helps in scraping Snapdeal data ('Name', 'Cuisine', 'Price', 'Ratings', 'Delivery Time', 'Review Counts').

  Return type

  ---

  pandas.DataFrame

  Parameters

  ---

  product_name: Enter the name of the desired city, from where you want to scrape the resturant data of.
  Type: str

  n_pages: Enter the number of pages that you want to scrape.
  Type: int

  Note

  ---

  Both the arguments are a compulsion. If n_pages == 0: A prompt will ask you to enter a valid page number and the scrapper will re-run.

  obj = PyScrappy()obj.FoodScrapper.zomato_scrapper(product_name, n_pages)