diff --git a/.github/workflows/continousintegration.yaml b/.github/workflows/continousintegration.yaml
new file mode 100644
index 0000000..39d9f8a
--- /dev/null
+++ b/.github/workflows/continousintegration.yaml
@@ -0,0 +1,17 @@
+name: Continuos Integration
+on: pull_request
+
+jobs:
+  continous-integration:
+    runs-on: ubuntu-latest
+  steps:
+    - uses: action/checkout@v3
+    - name: use Node.JS
+      uses: actions/setup-node@v2
+      with:
+        node-version: 21.x
+    - name: run, install and test
+      run: |
+        npm install
+        npm run bluid
+        npm run test
diff --git a/src/package.json b/src/package.json
index e447dbc..9b49e6f 100644
--- a/src/package.json
+++ b/src/package.json
@@ -3,7 +3,9 @@
   "version": "1.0.0",
   "main": "index.js",
   "scripts": {
-    "start": "nodemon index.js"
+    "start": "nodemon index.js",
+    "build": "CI=false && react-scripts build",
+    "test": "react-scripts test"
   },
   "author": "",
   "license": "ISC",
diff --git a/webscrapper/news.xlsx b/webscrapper/news.xlsx
deleted file mode 100644
index b3c0fd2..0000000
Binary files a/webscrapper/news.xlsx and /dev/null differ
diff --git a/webscrapper/webScarpperStudy2.py b/webscrapper/webScarpperStudy2.py
deleted file mode 100644
index 395815e..0000000
--- a/webscrapper/webScarpperStudy2.py
+++ /dev/null
@@ -1,32 +0,0 @@
-# Automated web scrapper
-# Libraries
-# openpyxl
-import requests
-from bs4 import BeautifulSoup
-import pandas as pd
-
-table = [] # List for the data
-
-page_to_scrape= requests.get("https://g1.globo.com") # Finding the page to scrape
-content = page_to_scrape.content
-soup = BeautifulSoup(content, 'html.parser') # Soup object
-
-# Variable to store the html content of the class of the news
-newS = soup.findAll("div", attrs={"class":"feed-post-body"}) 
-
-for news in newS:
-    title = news.find('a', attrs={'class':'feed-post-link'})
-    subtile = news.find('div', attrs={'class':"bstn-related"})
-
-    # If has subtitle
-    if(subtile):
-        table.append([title.text, subtile.text, title['href']]) # Insert data on this setup
-        # title subtile link to news
-    else:
-        table.append([title.text,'', title['href']])
-# Creating Data Frame
-dataframe = pd.DataFrame(table, columns=['Title', 'Subtile', 'Link to news'])
-dataframe.to_excel('news.xlsx', index=False) # Saving to excel
-
-# print(table)
-
diff --git a/webscrapper/webScrapperStudy1.py b/webscrapper/webScrapperStudy1.py
deleted file mode 100644
index bb1c376..0000000
--- a/webscrapper/webScrapperStudy1.py
+++ /dev/null
@@ -1,19 +0,0 @@
-# Libraries
-import requests
-from bs4 import BeautifulSoup
-
-
-page_to_scrape= requests.get("https://g1.globo.com") # Finding the page to scrape
-content = page_to_scrape.content
-soup = BeautifulSoup(content, 'html.parser') # Soup object
-
-# Variable to store the html content of the class of the news
-news = soup.find("div", attrs={"class":"feed-post-body"}) 
-
-
-title = news.find('a', attrs={'class':'feed-post-link'})
-subtile = news.find('div', attrs={'class':"bstn-related"})
-
-print(title.text) # Testing
-print(subtile.text) # Subtitle
-
diff --git a/webscrapper/webscrapper3.py b/webscrapper/webscrapper3.py
deleted file mode 100644
index e20cb39..0000000
--- a/webscrapper/webscrapper3.py
+++ /dev/null
@@ -1,32 +0,0 @@
-# Estudo para extrair dados de produto
-# - Obtendo do mercado livre
-
-# Libraries
-import requests
-from bs4 import BeautifulSoup
-
-# base URl
-base_url = 'https://lista.mercadolivre.com.br/'
-
-# Get user input product
-product_user = input('Input product to search: ')
-
-# Web scrapping
-reponse = requests.get(base_url + product_user)
-site = BeautifulSoup(reponse.text, 'html.parser')
-products = site.findAll('div', attrs={'class': 'andes-card ui-search-result ui-search-result--core andes-card--flat andes-card--padding-16'})
-
-for product in products:
-    # We want to find title, href and price of the product
-
-    title = product.find('h2', attrs={'ui-search-item__title'})
-    link = product.find('a', attrs={'class':'ui-search-item__group__element ui-search-link__title-card ui-search-link'})
-    price_reais = product.find('span', attrs={'class':'andes-money-amount__fraction'})
-    price_cents = product.find('span', attrs={'class':'andes-money-amount__cents andes-money-amount__cents--superscript-24'})
-
-    print('Products title:', title.text)
-    print('Products link: ', link['href'])
-    print('Products price:', price_reais.text + ',' + price_cents.text)
-    print('\n')
-
-    # Could as well find the discount of each product, if exists