Ironhack Data Analytics Final Project
If you want to look for a specific price of a product, just use one app, no need to go through every single web page of every supermarket.One place needed for all the information of product´s prices.
Also all the product are storage in a spreadsheet in order to follow the evolution of searchs
Python, Pandas,Streamlit
This app is useful for customer care teams when they have to look for prices and solve tickets at the same time. Improves teams efficiency
import streamlit as st import pandas as pd import numpy as np import fuzzywuzzy from fuzzywuzzy import fuzz,process from datetime import datetime from gsheetsdb import connect from google.oauth2 import service_account from gspread_pandas import Spread,Client from pandas import DataFrame
Is neccesary to make the conection to google cloud API: both google sheets and google drive
The root information is from datamarket- web page with supermarket scraped information.
└── INFOOD_DEPLOY2
├── pycache
│ └── streamlit.cpython-39.pyc
├── README.md
├── streamlit.py
├── .ipynb_checkpoints
│ └── Untitled-checkpoint.ipynb
├── Infood
│ ├── infood.ai
│ ├── infood.png
│ ├── infood.svg
│ ├── butanist-a-playful-yummy-font-with-extra-2021-08-27-12-16-38-utc.zip
├── Data
│ ├── products_clean.csv
├── input_infood.csv
├── requirements.txt
├── .gitignore
├── secrets.toml
web scraping of more webs improve the browser to obtain better results SQL statement in the google sheet deploy in order to improve the velocity timestamp +1 in spreadsheet