Website Scraper Online

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Web Scraper – The #1 web scraping extension

More than
400, 000 users are proud of using our solutions!
Point and click
interface
Our goal is to make web data extraction as simple as possible.
Configure scraper by simply pointing and clicking on elements.
No coding required.
Extract data from dynamic
web sites
Web Scraper can extract data from sites with multiple levels of navigation. It can navigate a
website on all levels.
Categories and subcategories
Pagination
Product pages
Built for the modern web
Websites today are built on top of JavaScript frameworks that make user interface easier to use but
are less accessible to scrapers. Web Scraper solves this by:
Full JavaScript execution
Waiting for Ajax requests
Pagination handlers
Page scroll down
Modular selector system
Web Scraper allows you to build Site Maps from different types of selectors.
This system makes it possible to tailor data extraction to different site structures.
Export data in CSV, XLSX and JSON
formats
Build scrapers, scrape sites and export data in CSV format directly from your browser.
Use Web Scraper Cloud to export data in CSV, XLSX and JSON formats, access it via API, webhooks or
get it exported via Dropbox.
Diego Kremer
Simply AMAZING. Was thinking about coding myself a simple scraper for a project
and then found this super easy to use and very powerful scraper. Worked
perfectly with all the websites I tried on. Saves a lot of time. Thanks for
that!
Carlos Figueroa
Powerful tool that beats the others out there. Has a learning curve to it but
once you conquer that the sky’s the limit. Definitely a tool worth making a
donation on and supporting for continued development. Way to go for the
authoring crew behind this tool.
Jonathan H
This is fantastic! I’m saving hours, possibly days. I was trying to scrap and old
site, badly made, no proper divs or markup.
Using the WebScraper magic, it somehow “knew” the pattern after I selected 2
elements. Amazing.
Yes, it’s a learning curve and you HAVE to watch the video and read the docs.
Don’t rate it down just because you can’t be bothered to learn it. If you put
the effort in, this will save your butt one day!
10 FREE Web Scrapers That You Cannot Miss in 2021

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10 FREE Web Scrapers That You Cannot Miss in 2021

How much do you know about web scraping? No worries, this article will brief you on the basics of web scraping, how to access a web scraping tool to get a tool that perfectly matches your needs, and last but not least, present you with a list of web scraping tools for your reference.
Table of Content
Web scraping and how it is used
How to choose a web scraping tool
Three types of web scraping tools
Web Scraping And How It Is Used
Web scraping is a way of gathering data from web pages with a scraping bot, hence the whole process is done in an automated way. The technique allows people to obtain web data at a large scale fast. In the meantime, instruments like Regex (Regular Expression) enable data cleaning during the scraping process, which means people can get well-structured clean data one-stop.
How does web scraping work?
Firstly, a web scraping bot simulates the act of human browsing the website. With the target URL entered, it sends a request to the server and gets information back in the HTML file.
Next, with the HTML source code at hand, the bot is able to reach the node where target data lies and parse the data as it is commanded in the scraping code.
Lastly, (based on how the scraping bot is configured) the cluster of scraped data will be cleaned, put into a structure, and ready for download or transference to your database.
How To Choose A Web Scraping Tool
There are ways to get access to web data. Even though you have narrowed it down to a web scraping tool, tools popped up in the search results with all confusing features still can make a decision hard to reach.
There are a few dimensions you may take into consideration before choosing a web scraping tool:
Device: if you are a Mac or Linux user, you should make sure the tool support your system.
Cloud service: cloud service is important if you want to access your data across devices anytime.
Integration: how you would use the data later on? Integration options enable better automation of the whole process of dealing with data.
Training: if you do not excel at programming, better make sure there are guides and support to help you throughout the data scraping journey.
Pricing: yep, the cost of a tool shall always be taken into consideration and it varies a lot among different venders.
Now you may want to know what web scraping tools to choose from:
Three Types of Scraping Tool
Web Scraper Client
Web Scraping Plugins/Extension
Web-based Scraping Application
There are many free web scraping tools. However, not all web scraping software is for non-programmers. The lists below are the best web scraping tools without coding skills at a low cost. The freeware listed below is easy to pick up and would satisfy most scraping needs with a reasonable amount of data requirement.
Web Scraping Tools Client-based
1. Octoparse
Octoparse is a robust web scraping tool that also provides web scraping services for business owners and enterprises.
Device: As it can be installed on both Windows and Mac OS, users can scrape data with apple devices.
Data: Web data extraction for social media, e-commerce, marketing, real-estate listing, etc.
Function:
– handle both static and dynamic websites with AJAX, JavaScript, cookies, etc.
– extract data from a complex website that requires login and pagination.
– deal with information that is not showing on the websites by parsing the source code.
Use cases: As a result, you can achieve automatic inventories tracking, price monitoring, and leads generation within your fingertips.
Octoparse offers different options for users with different levels of coding skills.
The Task Template Mode enables non-coding users to turn web pages into some structured data instantly. On average, it only takes about 6. 5 seconds to pull down the data behind one page and allows you to download the data to Excel. Check out what templates are most popular.
The Advanced mode has more flexibility. This allows users to configure and edit the workflow with more options. Advance mode is used for scraping more complex websites with a massive amount of data.
The brand new Auto-detection feature allows you to build a crawler with one click. If you are not satisfied with the auto-generated data fields, you can always customize the scraping task to let it scrape the data for you.
The cloud services enable large data extraction within a short time frame as multiple cloud servers concurrently are running for one task. Besides that, the cloud service will allow you to store and retrieve the data at any time.
2. ParseHub
Parsehub is a web scraper that collects data from websites using AJAX technologies, JavaScript, cookies and etc. Parsehub leverages machine learning technology which is able to read, analyze and transform web documents into relevant data.
Device: The desktop application of Parsehub supports systems such as Windows, Mac OS X, and Linux, or you can use the browser extension to achieve instant scraping.
Pricing: It is not fully free, but you still can set up to five scraping tasks for free. The paid subscription plan allows you to set up at least 20 private projects.
Tutorial: There are plenty of tutorials at Parsehub and you can get more information from the homepage.
3.
is a SaaS web data integration software. It provides a visual environment for end-users to design and customize the workflows for harvesting data. It covers the entire web extraction lifecycle from data extraction to analysis within one platform. And you can easily integrate into other systems as well.
Function: large-scale data scraping, capture photos and PDFs in a feasible format
Integration: integration with data analysis tools
Pricing: the price of the service is only presented through consultation case by case
1. Data Scraper (Chrome)
Data Scraper can scrape data from tables and listing type data from a single web page. Its free plan should satisfy most simple scraping with a light amount of data. The paid plan has more features such as API and many anonymous IP proxies. You can fetch a large volume of data in real-time faster. You can scrape up to 500 pages per month, you need to upgrade to a paid plan.
2. Web scraper
Web scraper has a chrome extension and cloud extension.
For the chrome extension version, you can create a sitemap (plan) on how a website should be navigated and what data should be scrapped.
The cloud extension is can scrape a large volume of data and run multiple scraping tasks concurrently. You can export the data in CSV, or store the data into Couch DB.
3. Scraper (Chrome)
The scraper is another easy-to-use screen web scraper that can easily extract data from an online table, and upload the result to Google Docs.
Just select some text in a table or a list, right-click on the selected text, and choose “Scrape Similar” from the browser menu. Then you will get the data and extract other content by adding new columns using XPath or JQuery. This tool is intended for intermediate to advanced users who know how to write XPath.
4. Outwit hub(Firefox)
Outwit hub is a Firefox extension, and it can be easily downloaded from the Firefox add-ons store. Once installed and activated, you can scrape the content from websites instantly.
Function: It has outstanding “Fast Scrape” features, which quickly scrapes data from a list of URLs that you feed in. Extracting data from sites using Outwit hub doesn’t demand programming skills.
Training: The scraping process is fairly easy to pick up. Users can refer to their guides to get started with web scraping using the tool.
Outwit Hub also offers services of tailor-making scrapers.
1. (formerly known as Cloud scrape)
is intended for advanced users who have proficient programming skills. It has three types of robots for you to create a scraping task – Extractor, Crawler, and Pipes. It provides various tools that allow you to extract the data more precisely. With its modern feature, you will be able to address the details on any website. With no programming skills, you may need to take a while to get used to it before creating a web scraping robot. Check out their homepage to learn more about the knowledge base.
The freeware provides anonymous web proxy servers for web scraping. Extracted data will be hosted on ’s servers for two weeks before being archived, or you can directly export the extracted data to JSON or CSV files. It offers paid services to meet your needs for getting real-time data.
2.
enables you to get real-time data from scraping online sources from all over the world into various, clean formats. You even can scrape information on the dark web. This web scraper allows you to scrape data in many different languages using multiple filters and export scraped data in XML, JSON, and RSS formats.
The freeware offers a free subscription plan for you to make 1000 HTTP requests per month and paid subscription plans to make more HTTP requests per month to suit your web scraping needs.
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A Beginner's Guide to learn web scraping with python! - Edureka

A Beginner’s Guide to learn web scraping with python! – Edureka

Last updated on Sep 24, 2021 641. 9K Views Tech Enthusiast in Blockchain, Hadoop, Python, Cyber-Security, Ethical Hacking. Interested in anything… Tech Enthusiast in Blockchain, Hadoop, Python, Cyber-Security, Ethical Hacking. Interested in anything and everything about Computers. 1 / 2 Blog from Web Scraping Web Scraping with PythonImagine you have to pull a large amount of data from websites and you want to do it as quickly as possible. How would you do it without manually going to each website and getting the data? Well, “Web Scraping” is the answer. Web Scraping just makes this job easier and faster. In this article on Web Scraping with Python, you will learn about web scraping in brief and see how to extract data from a website with a demonstration. I will be covering the following topics: Why is Web Scraping Used? What Is Web Scraping? Is Web Scraping Legal? Why is Python Good For Web Scraping? How Do You Scrape Data From A Website? Libraries used for Web Scraping Web Scraping Example: Scraping Flipkart Website Why is Web Scraping Used? Web scraping is used to collect large information from websites. But why does someone have to collect such large data from websites? To know about this, let’s look at the applications of web scraping: Price Comparison: Services such as ParseHub use web scraping to collect data from online shopping websites and use it to compare the prices of products. Email address gathering: Many companies that use email as a medium for marketing, use web scraping to collect email ID and then send bulk emails. Social Media Scraping: Web scraping is used to collect data from Social Media websites such as Twitter to find out what’s trending. Research and Development: Web scraping is used to collect a large set of data (Statistics, General Information, Temperature, etc. ) from websites, which are analyzed and used to carry out Surveys or for R&D. Job listings: Details regarding job openings, interviews are collected from different websites and then listed in one place so that it is easily accessible to the is Web Scraping? Web scraping is an automated method used to extract large amounts of data from websites. The data on the websites are unstructured. Web scraping helps collect these unstructured data and store it in a structured form. There are different ways to scrape websites such as online Services, APIs or writing your own code. In this article, we’ll see how to implement web scraping with python. Is Web Scraping Legal? Talking about whether web scraping is legal or not, some websites allow web scraping and some don’t. To know whether a website allows web scraping or not, you can look at the website’s “” file. You can find this file by appending “/” to the URL that you want to scrape. For this example, I am scraping Flipkart website. So, to see the “” file, the URL is in-depth Knowledge of Python along with its Diverse Applications Why is Python Good for Web Scraping? Here is the list of features of Python which makes it more suitable for web scraping. Ease of Use: Python is simple to code. You do not have to add semi-colons “;” or curly-braces “{}” anywhere. This makes it less messy and easy to use. Large Collection of Libraries: Python has a huge collection of libraries such as Numpy, Matlplotlib, Pandas etc., which provides methods and services for various purposes. Hence, it is suitable for web scraping and for further manipulation of extracted data. Dynamically typed: In Python, you don’t have to define datatypes for variables, you can directly use the variables wherever required. This saves time and makes your job faster. Easily Understandable Syntax: Python syntax is easily understandable mainly because reading a Python code is very similar to reading a statement in English. It is expressive and easily readable, and the indentation used in Python also helps the user to differentiate between different scope/blocks in the code. Small code, large task: Web scraping is used to save time. But what’s the use if you spend more time writing the code? Well, you don’t have to. In Python, you can write small codes to do large tasks. Hence, you save time even while writing the code. Community: What if you get stuck while writing the code? You don’t have to worry. Python community has one of the biggest and most active communities, where you can seek help Do You Scrape Data From A Website? When you run the code for web scraping, a request is sent to the URL that you have mentioned. As a response to the request, the server sends the data and allows you to read the HTML or XML page. The code then, parses the HTML or XML page, finds the data and extracts it. To extract data using web scraping with python, you need to follow these basic steps: Find the URL that you want to scrape Inspecting the Page Find the data you want to extract Write the code Run the code and extract the data Store the data in the required format Now let us see how to extract data from the Flipkart website using Python, Deep Learning, NLP, Artificial Intelligence, Machine Learning with these AI and ML courses a PG Diploma certification program by NIT braries used for Web Scraping As we know, Python is has various applications and there are different libraries for different purposes. In our further demonstration, we will be using the following libraries: Selenium: Selenium is a web testing library. It is used to automate browser activities. BeautifulSoup: Beautiful Soup is a Python package for parsing HTML and XML documents. It creates parse trees that is helpful to extract the data easily. Pandas: Pandas is a library used for data manipulation and analysis. It is used to extract the data and store it in the desired format. Subscribe to our YouTube channel to get new updates..! Web Scraping Example: Scraping Flipkart WebsitePre-requisites: Python 2. x or Python 3. x with Selenium, BeautifulSoup, pandas libraries installed Google-chrome browser Ubuntu Operating SystemLet’s get started! Step 1: Find the URL that you want to scrapeFor this example, we are going scrape Flipkart website to extract the Price, Name, and Rating of Laptops. The URL for this page is 2: Inspecting the PageThe data is usually nested in tags. So, we inspect the page to see, under which tag the data we want to scrape is nested. To inspect the page, just right click on the element and click on “Inspect” you click on the “Inspect” tab, you will see a “Browser Inspector Box” 3: Find the data you want to extractLet’s extract the Price, Name, and Rating which is in the “div” tag respectively. Learn Python in 42 hours! Step 4: Write the codeFirst, let’s create a Python file. To do this, open the terminal in Ubuntu and type gedit with extension. I am going to name my file “web-s”. Here’s the command:gedit, let’s write our code in this file. First, let us import all the necessary libraries:from selenium import webdriver
from BeautifulSoup import BeautifulSoup
import pandas as pdTo configure webdriver to use Chrome browser, we have to set the path to chromedriverdriver = (“/usr/lib/chromium-browser/chromedriver”)Refer the below code to open the URL: products=[] #List to store name of the product
prices=[] #List to store price of the product
ratings=[] #List to store rating of the product
(“)
Now that we have written the code to open the URL, it’s time to extract the data from the website. As mentioned earlier, the data we want to extract is nested in

tags. So, I will find the div tags with those respective class-names, extract the data and store the data in a variable. Refer the code below:content = ge_source
soup = BeautifulSoup(content)
for a in ndAll(‘a’, href=True, attrs={‘class’:’_31qSD5′}):
(‘div’, attrs={‘class’:’_3wU53n’})
(‘div’, attrs={‘class’:’_1vC4OE _2rQ-NK’})
(‘div’, attrs={‘class’:’hGSR34 _2beYZw’})
()
Step 5: Run the code and extract the dataTo run the code, use the below command: python 6: Store the data in a required formatAfter extracting the data, you might want to store it in a format. This format varies depending on your requirement. For this example, we will store the extracted data in a CSV (Comma Separated Value) format. To do this, I will add the following lines to my code:df = Frame({‘Product Name’:products, ‘Price’:prices, ‘Rating’:ratings})
_csv(”, index=False, encoding=’utf-8′)Now, I’ll run the whole code again. A file name “” is created and this file contains the extracted data. I hope you guys enjoyed this article on “Web Scraping with Python”. I hope this blog was informative and has added value to your knowledge. Now go ahead and try Web Scraping. Experiment with different modules and applications of Python. If you wish to know about Web Scraping With Python on Windows platform, then the below video will help you understand how to do Scraping With Python | Python Tutorial | Web Scraping Tutorial | EdurekaThis Edureka live session on “WebScraping using Python” will help you understand the fundamentals of scraping along with a demo to scrape some details from a question regarding “web scraping with Python”? You can ask it on edureka! Forum and we will get back to you at the earliest or you can join our Python Training in Hobart get in-depth knowledge on Python Programming language along with its various applications, you can enroll here for live online Python training with 24/7 support and lifetime access.

Frequently Asked Questions about website scraper online

How do I scrape data from a website online?

How Do You Scrape Data From A Website?Find the URL that you want to scrape.Inspecting the Page.Find the data you want to extract.Write the code.Run the code and extract the data.Store the data in the required format.Sep 24, 2021

Can websites detect web scraping?

Websites can easily detect scrapers when they encounter repetitive and similar browsing behavior. Therefore, you need to apply different scraping patterns from time to time while extracting the data from the sites. Some sites have a really advanced anti-scraping mechanism.Jun 3, 2019

Is Web scraping a crime?

Web scraping itself is not illegal. As a matter of fact, web scraping – or web crawling, were historically associated with well-known search engines like Google or Bing. These search engines crawl sites and index the web. … A great example when web scraping can be illegal is when you try to scrape nonpublic data.Nov 17, 2017

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