Web Scraping images using Selenium and Python

Overview

Web Scraping images using Selenium and Python

N|Solid

A propos de ce document

This is a markdown document about Web scraping images and videos using Selenium and python. The document summarizes the presentation which has been divided in 2 parts: general presentation and workshop (the workshop is the tutorial in the table of contents). Author :

Markdown is a lightweight markup language based on the formatting conventions that people naturally use in emails. As written by John Gruber on the Markdown site

The overriding design goal for Markdown's formatting syntax is to make it as readable as possible. The idea is that a Markdown-formatted document should be publishable as-is, as plain text, without looking like it's been marked up with tags or formatting instructions.

Table of Contents

Introduction :

Selenium is a Python library and tool used for automating web browsers to do a number of tasks. One of such is web-scraping to extract useful data and information that may be otherwise unavailable. N|Solid

Why using Selenium?

As we know that many tools can be used to scraping data from a website, and the three most popular from them are Scrapy, Beautifulsoup, and Selenium. However, each of them has the special ability for their action to scrape a website. Selenium is a powerful tool for scraping. It can handle automation in a complex way. For example, we need to log in to our Instagram account to scraping Instagram’s website. And surprisingly, selenium can handle it such as log in to our Instagram account automatically. Selenium is useful when you have to perform an action on a website such as :

  • Clicking on buttons
  • Filling forms
  • Scrolling
  • Taking a screenshot

Installation :

We will use Chrome in our example, so make sure you have it installed on your local machine:

Download webdriver:

One of the tools that we must prepare to run the selenium program is webdriver (for Chrome) or geckodriver (for Firefox). You can download it from here (for Chrome user).

Installing the required libraries:

First, we must install a selenium library on our terminal such as the code below:

pip install selenium

Once it has been done, then we must install some python libraries required such as time and requests like the code below:

pip install time

and

pip install requests

Great! Our scraping environment has been prepared, and let’s code!

Importing the libraries :

Here the code about importing the required libraries for scraping using selenium:

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time, urllib.request
import requests
import os 
import argparse

Setting the PATH code :

The PATH code is the code that aims to connect our code with the browser. Here the code about PATH is below:

# Configure environment variables path for chromedriver.exe
PATH = r"C:\Users\DELL\Desktop\Scrapping photos clothes\chromedriver.exe"
driver = webdriver.Chrome(PATH)

Or alternatively, if you saved your webdriver inside the root folder, you can simply type the following and skip the file_path specification:

driver = webdriver.Chrome()

Start Connection and Login :

Get the website :

After coding the PATH variable, then we must get Instagram’s website which is our scraping target. So, the code is below:

# Navigate to Instagram page
driver.get("https://www.instagram.com/")

This will launch Chrome in headfull mode (like regular Chrome, which is controlled by our Python code). You should see a message stating that the browser is controlled by automated software.

Login and Searchbox handling :

Since we’ve found the primary page of our Instagram account named home, then we must login with username and password,after that we must go to the Instagram account target by type the name of our Instagram account target in the search box located at the top of the display. Then, we must get the element of the search box to fill the blank box automatically.

#login and searchbox function
    def start_connection(self):
        driver.get("https://www.instagram.com/")
        time.sleep(3)
        username=driver.find_element_by_css_selector("input[name='username']")
        password=driver.find_element_by_css_selector("input[name='password']")
        username.clear()
        password.clear()
        username.send_keys(self.user)
        password.send_keys(self.pwd)
        driver.find_element_by_css_selector("button[type='submit']").click()
        #save your login info?
        time.sleep(5)
        driver.find_element_by_xpath("//button[contains(text(), 'Plus tard')]").click()
        #turn on notif
        time.sleep(5)
        driver.find_element_by_xpath("//button[contains(text(), 'Plus tard')]").click()
        #searchbox
        time.sleep(5)
        searchbox=driver.find_element_by_css_selector("input[placeholder='Rechercher']")
        searchbox.clear()
        searchbox.send_keys(self.page_name)
        time.sleep(3)
        searchbox.send_keys(Keys.ENTER)
        time.sleep(3)
        searchbox.send_keys(Keys.ENTER)
        time.sleep(3)

The code above explains that we started by login to our Instagram account, then we handled the search box automatically by creating the searchbox variable.

Scroll down the profile :

Since we have the profile page for the target user, we must think that we have already scraped this page soon. However, we must scroll down the page automatically first before. Here the code:

20: break # You can change it as per your needs and internet speed">
#scroll down
    def scroll_down(self):
        start = time.time()
        #driver = webdriver.Chrome()
        initialScroll = 0             
        while True:
            driver.execute_script(f"window.scrollTo({initialScroll},{self.finalScroll})")
            # this command scrolls the window starting from the pixel value stored in the initialScroll variable to the pixel value stored at the finalScroll variable
            initialScroll = self.finalScroll
            self.finalScroll += 1  
            # we will stop the script for 3 seconds so that the data can load
            time.sleep(3)
            end = time.time()
            # We will scroll for 20 seconds.You can change it as per your needs and internet speed
            if round(end - start) > 20:
                break
            # You can change it as per your needs and internet speed

If you want to scroll down the page automatically until the end of the page. Here the code:

#Scroll down to the end
scrolldown=driver.execute_script("window.scrollTo(0, document.body.scrollHeight);var scrolldown=document.body.scrollHeight;return scrolldown;")
match=False
while(match==False):
    last_count = scrolldown
    time.sleep(3)
    scrolldown = driver.execute_script("window.scrollTo(0, document.body.scrollHeight);var scrolldown=document.body.scrollHeight;return scrolldown;")
    if last_count==scrolldown:
        match=True

Get the URL posts :

Now, time to get these URL posts which are posted in the instagram page. First, we must create the empty box which is used to accommodate all the URL posts named posts. Then, we create the links variable which is to get all the elements that have the tag name “a”. Then, create the for loop function to get all the URL posts. Thus, create a folder so that we can group the downloaded images by following the code below.

    def fetch_links(self, posts = []):
        #driver = webdriver.Chrome()            
        links = driver.find_elements_by_tag_name('a')
        for link in links:
            post = link.get_attribute('href')
            if '/p/' in post:
                posts.append( post )
        try: 
            os.mkdir(self.folder_name)    
        except: 
            print("Folder Exist with that name!")
            self.folder_name = input("Enter another Folder Name:- ") 
        return(posts)

Download all of the posts :

Lastly, we must download all of the posts on there, and save them to our directory. So, the code is in below:

    def download_images(self, posts): 
        #driver = webdriver.Chrome()    
        download_url = ''
        for post in posts:	
            driver.get(post)
            shortcode = driver.current_url.split("/")[-2]
            time.sleep(7)
            download_url = driver.find_element_by_css_selector("img[style='object-fit:cover;']").get_attribute()
            urllib.request.urlretrieve( download_url, './'+self.folder_name+'/{}.jpg'.format(shortcode))
            time.sleep(5)

The Main Function :

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description="Runnnig...")
    parser.add_argument(
        "--user-email",
        "-U",
        help="Enter your username to login",
    )
    parser.add_argument(
        "--password",
        "-P",
        help="Enter your password to login",
        default="tracing",
    )
    parser.add_argument(
        "--instagram-page", 
        "-I",
        default="", 
        help="Enter the name of the page that you wanna scrap !!"
    )
    parser.add_argument("--scrolls-number",
        "-S",
        default=1, 
        type=int, 
        help="Enter the number of scroll down to the bottom of the page you want !!"
    )
    parser.add_argument("--export-folder",
        "-E",
        help="enter a enter a file name to create and store the scrapped images in this file."
    )
    args = parser.parse_args()
    images = MyScrapper(args.user_email,args.password,args.instagram_page,args.scrolls_number,args.export_folder)
    images.start_connection()
    images.scroll_down()
    posts = images.fetch_links()
    images.download_images(posts)

Running :

Open terminal in the directory of scraper.py and enter: In the first argument enter your instagram username after typing -U or -user-email, in the second enter the password after typing -P or -password, in the third enter the name of the page you want to scrape after typing -I or -instagram-page, in the fourth argument enter the number of scroll down to the bottom of the page you want after typing -S or -scrolls-number it must be an integer, and the last argument enter a file name after typing -E or -export-folder to create and store the scrapped images in this file.

python scrap.py -U  "us[email protected]" -P "Your password" -I "The page" -S 5 -E "file1"

Go grab a cup of coffee while waiting... oh wait, it's already done!

For more informations run this command :

python scrap.py --help

Conclusion :

Finally, we have got all about the code completely in here. Here the code:

20: break # You can change it as per your needs and internet speed def fetch_links(self, posts = []): #driver = webdriver.Chrome() links = driver.find_elements_by_tag_name('a') for link in links: post = link.get_attribute('href') if '/p/' in post: posts.append( post ) try: os.mkdir(self.folder_name) except: print("Folder Exist with that name!") self.folder_name = input("Enter another Folder Name:- ") return(posts) def download_images(self, posts): #driver = webdriver.Chrome() download_url = '' for post in posts: driver.get(post) shortcode = driver.current_url.split("/")[-2] time.sleep(7) download_url = driver.find_element_by_css_selector("img[style='object-fit: cover;']").get_attribute('src') urllib.request.urlretrieve( download_url, './'+self.folder_name+'/{}.jpg'.format(shortcode)) time.sleep(5) if __name__ == '__main__': parser = argparse.ArgumentParser(description="Runnnig...") parser.add_argument( "--user-email", "-U", help="Enter your username to login", ) parser.add_argument( "--password", "-P", help="Enter your password to login", default="tracing", ) parser.add_argument( "--instagram-page", "-I", default="", help="Enter the name of the page that you wanna scrap !!" ) parser.add_argument("--scrolls-number", "-S", default=1, type=int, help="Enter the number of scroll down to the bottom of the page you want !!" ) parser.add_argument("--export-folder", "-E", help="enter a enter a file name to create and store the scrapped images in this file." ) args = parser.parse_args() images = MyScrapper(args.user_email,args.password,args.instagram_page,args.scrolls_number,args.export_folder) images.start_connection() images.scroll_down() posts = images.fetch_links() images.download_images(posts)">
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import time, urllib.request
import os 
import sys
import logging
import argparse

driver = webdriver.Chrome()
logging.basicConfig(level=logging.DEBUG)

class MyScrapper :
    global driver
    def __init__(self, user, pwd, page_name, finalScroll, folder_name):
        self.folder_name = folder_name
        self.user = user
        self.pwd = pwd
        self.page_name = page_name
        self.finalScroll = int(finalScroll)
        self.driver = driver

    def start_connection(self):
        driver.get("https://www.instagram.com/")
        time.sleep(5)
        username=driver.find_element_by_css_selector("input[name='username']")
        password=driver.find_element_by_css_selector("input[name='password']")
        username.clear()
        password.clear()
        username.send_keys(self.user)
        password.send_keys(self.pwd)
        driver.find_element_by_css_selector("button[type='submit']").click()
        #save your login info?
        time.sleep(10)
        driver.find_element_by_xpath("//button[contains(text(), 'Plus tard')]").click()
        #turn on notif
        time.sleep(10)
        driver.find_element_by_xpath("//button[contains(text(), 'Plus tard')]").click()
        #searchbox
        time.sleep(5)
        searchbox=driver.find_element_by_css_selector("input[placeholder='Rechercher']")
        searchbox.clear()
        searchbox.send_keys(self.page_name)
        time.sleep(5)
        searchbox.send_keys(Keys.ENTER)
        time.sleep(5)
        searchbox.send_keys(Keys.ENTER)
        time.sleep(5)
        # will be used in the while loop

    def scroll_down(self):
        start = time.time()
        #driver = webdriver.Chrome()
        initialScroll = 0             
        while True:
            driver.execute_script(f"window.scrollTo({initialScroll},{self.finalScroll})")
            # this command scrolls the window starting from the pixel value stored in the initialScroll variable to the pixel value stored at the finalScroll variable
            initialScroll = self.finalScroll
            self.finalScroll += 1  
            # we will stop the script for 3 seconds so that the data can load
            time.sleep(3)
            end = time.time()
            # We will scroll for 20 seconds.You can change it as per your needs and internet speed
            if round(end - start) > 20:
                break
            # You can change it as per your needs and internet speed

    def fetch_links(self, posts = []):
        #driver = webdriver.Chrome()            
        links = driver.find_elements_by_tag_name('a')
        for link in links:
            post = link.get_attribute('href')
            if '/p/' in post:
                posts.append( post )
        try: 
            os.mkdir(self.folder_name)    
        except: 
            print("Folder Exist with that name!")
            self.folder_name = input("Enter another Folder Name:- ") 
        return(posts)

    def download_images(self, posts): 
        #driver = webdriver.Chrome()    
        download_url = ''
        for post in posts:	
            driver.get(post)
            shortcode = driver.current_url.split("/")[-2]
            time.sleep(7)
            download_url = driver.find_element_by_css_selector("img[style='object-fit: cover;']").get_attribute('src')
            urllib.request.urlretrieve( download_url, './'+self.folder_name+'/{}.jpg'.format(shortcode))
            time.sleep(5)

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description="Runnnig...")
    parser.add_argument(
        "--user-email",
        "-U",
        help="Enter your username to login",
    )
    parser.add_argument(
        "--password",
        "-P",
        help="Enter your password to login",
        default="tracing",
    )
    parser.add_argument(
        "--instagram-page", 
        "-I",
        default="", 
        help="Enter the name of the page that you wanna scrap !!"
    )
    parser.add_argument("--scrolls-number",
        "-S",
        default=1, 
        type=int, 
        help="Enter the number of scroll down to the bottom of the page you want !!"
    )
    parser.add_argument("--export-folder",
        "-E",
        help="enter a enter a file name to create and store the scrapped images in this file."
    )
    args = parser.parse_args()
    images = MyScrapper(args.user_email,args.password,args.instagram_page,args.scrolls_number,args.export_folder)
    images.start_connection()
    images.scroll_down()
    posts = images.fetch_links()
    images.download_images(posts)

The end ! Thank you all NOTE: Web Scraping from many websites is Illegal. This project is just for Learning and Fun.

Owner
Nafaa BOUGRAINE
Nafaa BOUGRAINE
Discord webhook spammer with proxy support and proxy scraper

Discord webhook spammer with proxy support and proxy scraper

3 Feb 27, 2022
A Spider for BiliBili comments with a simple API server.

BiliComment A spider for BiliBili comment. Spider Usage Put config.json into config directory, and then python . ./config/config.json. A example confi

Hao 3 Jul 05, 2021
CreamySoup - a helper script for automated SourceMod plugin updates management.

CreamySoup/"Creamy SourceMod Updater" (or just soup for short), a helper script for automated SourceMod plugin updates management.

3 Jan 03, 2022
SmartScraper: 简单、自动、快捷的Python网络爬虫

SmartScraper: 简单、自动、快捷的Python网络爬虫 Note: The origin developer of SmartScraper is Alireza Mika, I only change a little code of AutoScraper. SmartScraper

DaDeng 9 Apr 16, 2022
A web crawler for recording posts in "sina weibo"

Web Crawler for "sina weibo" A web crawler for recording posts in "sina weibo" Introduction This script helps collect attributes of posts in "sina wei

4 Aug 20, 2022
This app will let you continuously scrape certain parts of LeasePlan and extract data of cars becoming available for lease.

LeasePlan - Scraper This app will let you continuously scrape certain parts of LeasePlan and extract data of cars becoming available for lease. It has

Rodney 4 Nov 18, 2022
Iptvcrawl - A scrapy project for crawl IPTV playlist

iptvcrawl a scrapy project for crawl IPTV playlist. Dependency Python3 pip insta

Zhijun 18 May 05, 2022
Crawl the information of a given keyword on Google search engine

Crawl the information of a given keyword on Google search engine

4 Nov 09, 2022
API to parse tibia.com content into python objects.

Tibia.py An API to parse Tibia.com content into object oriented data. No fetching is done by this module, you must provide the html content. Features:

Allan Galarza 25 Oct 31, 2022
This code will be able to scrape movies from a movie website and also provide download links to newly uploaded movies.

Movies-Scraper You are probably tired of navigating through a movie website to get the right movie you'd want to watch during the weekend. There may e

1 Jan 31, 2022
Google Maps crawler using Selenium

Google Maps Crawler using Selenium Built as part of the Antifragile Dev Project Selenium crawler that browses Google Maps as a regular user and stores

Guilherme Latrova 46 Dec 16, 2022
Web-Scrapper using Python and Flask

Web-Scrapper "[초급]Python으로 웹 스크래퍼 만들기" 코스 -NomadCoders 기초적인 Python 문법강의부터 시작하여 웹사이트의 html파일에서 원하는 내용을 Scrapping해서 출력, csv 파일로 저장, flask를 이용한 간단한 웹페이지

윤성도 1 Nov 10, 2021
Example of scraping a paginated API endpoint and dumping the data into a DB

Provider API Scraper Example Example of scraping a paginated API endpoint and dumping the data into a DB. Pre-requisits Python = 3.9 Pipenv Setup # i

Alex Skobelev 1 Oct 20, 2021
Snowflake database loading utility with Scrapy integration

Snowflake Stage Exporter Snowflake database loading utility with Scrapy integration. Meant for streaming ingestion of JSON serializable objects into S

Oleg T. 0 Dec 06, 2021
This is a web crawler that works on employ email data by gmane.org and visualizes it in different ways.

crawler_to_visual_gmane Analyzing an EMAIL Archive from gmane and vizualizing the data using the D3 JavaScript library. This is a set of tools that al

Saim Zafar 1 Dec 20, 2021
Linkedin webscraping - Linkedin web scraping with python

linkedin_webscraping This is the first step of a full project called "LinkedIn J

Pedro Dib 4 Apr 24, 2022
Generate a repository with mirror links for DriveDroid app

DriveDroid Repository Generator Generate a repository for the app that allow boot a PC using ISO files stored on your Android phone Check also an offi

Evgeny 11 Nov 19, 2022
An experiment to deploy a serverless infrastructure for a scrapy project.

Serverless Scrapy project This project aims to evaluate the feasibility of an architecture based on serverless technology for a web crawler using scra

José Ferraz Neto 5 Jul 08, 2022
Grab the changelog from releases on Github

release-notes-scraper This simple script can be used to grab the release notes for projects from github that do not keep a CHANGELOG, but publish thei

Dan Čermák 4 Apr 01, 2022
抖音批量下载用户所有无水印视频

Douyincrawler 抖音批量下载用户所有无水印视频 Run 安装python3, 安装依赖

28 Dec 08, 2022