Our web scraping service for ecommerce serves to companies with a variety of needs and data dependencies, ranging from new entrants to established online merchants.
Scraping e-commerce sites allows you to simultaneously scrape data feeds from multiple ecommerce reference sites, partners, and channels. We make it simple for you to gather information about product data regularly in the format you want the data.
'''
!pip install scrapy
!pip install tabulate
''''\n!pip install scrapy\n!pip install tabulate\n'import os
import logging
import json
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import scrapy
from scrapy.crawler import CrawlerProcess
from glob import glob
import glob, os
from ipywidgets import widgets
from IPython.display import display, clear_output
from tabulate import tabulate
pd.set_option('display.max_colwidth', None)
import warnings
warnings.filterwarnings('ignore')CONST_USER_AGENT = 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)'
CONST_PRODUCT = 'Product'
CONST_URL = 'Url'
CONST_PLATFORM = 'Platform'
CONST_MAX_PAGE_COUNT = 'Max_Page_Count'
CONST_PRODUCT_NAME = 'Product_Name'
CONST_PRODUCT_COST = 'Product_Cost'
CONST_PRODUCT_BEVERAGES = 'Beverages'
CONST_PRODUCT_BEVERAGES_TEA = 'Tea'
CONST_PRODUCT_BEVERAGES_COFFEE = 'Coffee'
CONST_PRODUCT_GROCERRIES = 'Grocery'
CONST_PRODUCT_MASALA_AND_SPICES = 'Masala & Spices'
CONST_PLATFORM_BIGBASKET = 'BigBasket'
CONST_PLATFORM_DMART = 'Dmart'
CONST_PLATFORM_AMAZON = 'Amazon'
CONST_PLATFORM_FLIPKART = 'Flipkart'
CONST_DF_FORMAT_CSV = '.csv'
CONST_DF_FORMAT_JSON = '.json'
CONST_NOT_APPLICABLE = 'N/A'
(A) Data Acquisition
