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Friday, June 24, 2016

How to scrape data from website using selenium in python?

Scootsy Crawler / Scrapper

WARNING - Contents of this page are for educational purposes only. It is strongly suggested that you do not use this knowledge for illegal purposes!

Below are the code of statement to scrape or extract information from website.
  • Library used in the codes are sys, Selenium, pandas and datetime
  • web driver Firefox. you can used chrome web driver instead.

python code view

Python-IDLE-Scootsy-crawler-code

Scrapped Data view

Scootsy scrapped data

Scootsy Scrapper Code

click here to view project online

import sys
import selenium
import selenium.webdriver.common.keys
import pandas
import datetime

URL = 'https://scootsy.com/get_vendor_listing.php'
#*************************************************************************************************
maxcharLen = 60
print (maxcharLen + 1) * '-'
strToPrint = 'Scootsy Crawler 1.0'
print (maxcharLen  - len(strToPrint))/2 * '*', strToPrint , (maxcharLen  - len(strToPrint))/2 * '*'
strToPrint = "Please don't change the code "
print (maxcharLen  - len(strToPrint))/2 * '*' , strToPrint , (maxcharLen  - len(strToPrint))/2 * '*'
strToPrint = "If you change it will leads to raise an error"
print (maxcharLen  - len(strToPrint))/2 * '*' , strToPrint , (maxcharLen  - len(strToPrint))/2 * '*'
print (maxcharLen + 1) * '-'
#*************************************************************************************************

sys.stdout.write("\r" + "Driver Initializing ...")
#driver = selenium.webdriver.Chrome("C:\Program Files (x86)\Google\Chrome\Application\chrome.exe")
driver = selenium.webdriver.Firefox()
sys.stdout.write("\r" + "Navigating to url : " + URL )
driver.get(URL)
#assert "tabs-container2" in driver.find_element_by_id('tabs-container2')

ul = driver.find_element_by_tag_name("ul")
sys.stdout.write("\r" + "start crawling for Restaurant : " + URL )
columns = ['Id','City','Restaurant Name','Cuisines','Delivery Time','URL']

restaurants = [[]]
i = 0

print "\r" + "found available restaurant : ", len(ul.find_elements_by_tag_name("li"))
for li in ul.find_elements_by_tag_name("li"):

    div = li.find_element_by_class_name('dish_name')
    a = div.find_element_by_tag_name('a')
    span = div.find_element_by_tag_name('span')

    resid = li.get_attribute('id')
    resName = a.text
    cousin = span.text
    deliverytime = li.find_element_by_class_name('icn').find_element_by_tag_name('span').text
    link = a.get_attribute('href')
    city = link.split('/',3)[3].split('-')[3]

    restaurants[i].append(resid)
    restaurants[i].append(city)
    restaurants[i].append(resName)
    restaurants[i].append(cousin)
    restaurants[i].append(deliverytime)
    restaurants[i].append(link)

    sys.stdout.write("\r" + "Data Extracted For Restaurant : " + resName)

    restaurants.append([])

    i += 1

sys.stdout.write("\r" + "Data Extraction Finished...")
driver.close()
sys.stdout.write("\r" + "Driver Close...")
data_Table = pandas.DataFrame.from_records(restaurants,columns=columns)

filename = "scootsy crawl " + str(datetime.datetime.today().strftime("%d%m%y %H%M%S")) + ".xlsx"
sys.stdout.write("\r" + "File Saving TO : " + filename)
data_Table.to_excel(filename,'Sccotsy',index=False,encoding="UTF-8")
print "\r" + "File Saved @ : ", filename
sys.stdout.read()

Friday, June 03, 2016

How to Install psycopg2 library in Python (windows)

Install psycopg2 Module in Python 2.7 in windows

Prerequisite activity:

Path of the parent folder of pip is appended/added in system Environment variables.

Please follow link here to Add/Append pip command in System Environment variables

Please follow below steps to Install psycopg2 library in python:
  1. Press Windows Logo Key () + R to open Run Dialog box.


  2. Type cmd and press OK button to open Command Prompt.


  3. Type pip Install psycopg2 and Press Enter


Friday, May 27, 2016

Refresh Data Queries in Excel workbook - Python and VBA

Below code snippets written in Python and VBA as well, to refresh Excel Workbook Data Queries (Connections) whether For Table or Pivots Table or Charts:



in Python

import win32com.client as win32
import time

Files = ['C:\\Folder\\File1.xlsx', 'C:\\Folder\\File2.xlsx', 'C:\\Folder\\File3.xlsx']


def RefreshFiles(Files):
    UpdatedFiles = []

    xl = win32.DispatchEx("Excel.Application")
    xl.visible = True
    for filename in Files:
        try:
            WB = xl.workbooks.open(filename)
            for con in WB.connections:
                con.refresh
            WB.Close(True)

            UpdatedFiles.append(filename)
            time.sleep(1)
        except:
            print "File Not Updated : " + filename

    xl.Quit()
    return UpdatedFiles;

in VBA

Option Explicit

Public Sub GetFiles()
    Dim Files
    
    Files = Application.GetOpenFilename("Micrsoft excel workbooks (*.xls*),(*.xls*)", MultiSelect:=True)
    
    If IsArray(Files) Then
        RefreshAll Files
    End If
End Sub

Private Sub RefreshAll(Files As Variant)
Dim XL As Excel.Application, WB As Excel.Workbook
Dim con As Variant, File As Variant

Set XL = New Excel.Application

For Each File In Files
    Set WB = XL.Workbooks.Open(File)
    For Each con In WB.Connections
        con.Refresh
    Next

    WB.Close True
Next

XL.Quit

End Sub
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