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E-Commerce Scraper

Create an instance of the PyScrappy library to interact with the class ECommerceScraper

Helps in scrapping data from E-Commerce websites

1. Alibaba2. Flipkart3. Snapdeal

Type#
class
Note#
Create an object of this class to procced further.
```
obj = PyScrappy.ECommerceScrapper()
```

Flipkart#

flipkart_scrapper()#
Helps in scraping data from Flikart ('Name', 'Price', 'Original Price', 'Description', 'Rating').
Return type#
pandas.DataFrame
Parameters#
product_name: Enter the name of the desired product, which you want to scrape the 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.ECommerceScrapper()obj.flipkart_scrapper(product_name, n_pages)
```

Snapdeal#

snapdeal_scrapper()#
Helps in scraping data from Snapdeal ('Name', 'Price', 'Original Price', 'Number of Ratings').
Return type#
pandas.DataFrame
Parameters#
product_name: Enter the name of the desired product, which you want to scrape the 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.ECommerceScrapper()obj.snapdeal_scrapper(product_name, n_pages)
```

Alibaba#

alibaba_scrapper()#
Helps in scraping data from Alibaba ('Name', 'Number of Items', 'Description', 'Ratings').
Return type#
pandas.DataFrame
Parameters#
product_name: Enter the name of desired product
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.ECommerceScrapper()obj.alibaba_scrapper(product_name, n_pages)
```

Flipkart
Snapdeal
Alibaba