How to scrape data with Chrome extensions | by WrekinData
When it comes to data scraping, there are plenty of solutions that can give you the kind of results you are looking for. One that is quite often overlooked, however, is simply leveraging your, we will take a look at how you can utilise Chrome’s extension functionalities to scrape data of any would you want to do this? The main reason why someone would opt for using a Chrome extensions for web scraping is a limited budget. Of course, you may have a multitude of other reasons too. It’s a great option for those who:● Are inexperienced in data scraping and would like to get a taste before investing further. ● Would like a simple, no-frills scraping tool without having to spend time and effort in software that can be very technical. ● Have no need for fully-fledged data scraping as their needs can be met with something much simpler instead. ● Need to figure out whether or not data scraping fits their own business model and how they can integrate it these and many other reasons, utilising an extension can be an excellent introduction to data scraping and may even serve as a complete package for by doing your researchAs is usually the case with DIY tech solutions, there is no single option that can fulfill your every requirement. As you might expect, there are plenty of data scraping extensions that vary in functionality, usability, and result of the things that’s common in many of these extensions is the fact that they assume a basic working knowledge of HTML and is because they mainly use HTML and CSS selectors to understand and scrape the data that you want and may need you to be able to customise their selections to suit your examples of good scraping tools (in no particular order):● Agenty● Web Scraper● Data ScraperHow do these data scrapers work? While this will often depend on the exact extension you choose, they all share common features as they utilise the same kind of web-based features to extract begin with, you will need to install the extension from the Chrome Web Store. After that, you should see a new icon in the top-right hand corner of on that button and you will see the extension’s working interface. Some extensions, like Web Scraper, integrate directly in Chrome’s Developer Tools which can be easily found by pressing Ctrl + Shift + I or just by hitting the F12 you can see the user interface, you are almost ready to go. Like all other similar software, Chrome-based data scrapers operate on a click-to-scrape function so that you can quickly gather required most common output file is CSV which you can then open via any compatible software such as Microsoft Excel or Google’s own Sheets so you never have to leave your scraping has never been easierAfter trying your first data scraping extension, you will quickly come to realise that you don’t always need complicated tools to extract data from a time where knowing your competition and understanding big data has never been more important, we are lucky enough that these processes have never been easier either.
How to Use Web Scraper Chrome Extension to Extract Data
This post is about DIY web scraping tools. If you are looking for a fully customizable web scraping solution, you can add your project on CrawlBoard.
How to Use Web Scraper Chrome Extension to Extract Data
Web scraping is becoming a vital ingredient in business and marketing planning regardless of the industry. There are several ways to crawl the web for useful data depending on your requirements and budget. Did you know that your favourite web browser could also act as a great web scraping tool?
You can install the Web Scraper extension from the chrome web store to make it an easy-to-use data scraping tool. The best part is, you can stay in the comfort zone of your browser while the scraping happens. This doesn’t demand much technical skills, which makes it a good option when you need to do some quick data scraping. Let’s get started with the tutorial on how to use web scraper chrome extension to extract data.
About the Web Scraper Chrome Extension
Web Scraper is a web data extractor extension for chrome browsers made exclusively for web data scraping. You can set up a plan (sitemap) on how to navigate a website and specify the data to be extracted. The scraper will traverse the website according to the setup and extract the relevant data. It lets you export the extracted data to CSV. Multiple pages can be scraped using the tool, making it even more powerful. It can even extract data from dynamic pages that use Javascript and Ajax.
What You Need
Google Chrome browser
A working internet connection
A. Installation and setup
webscraper chrome extension by using link
For web scraper chrome extension download click on “Add”
Once this is done, you are ready to start scraping any website using your chrome browser. You just need to learn how to perform the scraping, which we are about to explain.
B. The Method
After installation, open the Google Chrome developer tools by pressing F12. (You can alternatively right-click on the screen and select inspect element). In the developer tools, you will find a new tab named ‘Web scraper’ as shown in the screenshot below.
Now let’s see how to use this on a live web page. We will use a site called for this tutorial. This site contains gif images and we will crawl these image URLs using our web scraper.
Step 1: Creating a Sitemap
Go to Open developer tools by right-clicking anywhere on the screen and then selecting inspect
Click on the web scraper tab in developer tools
Click on ‘create new sitemap’ and then select ‘create sitemap’
Give the sitemap a name and enter the URL of the site in the start URL field.
Click on ‘Create Sitemap’
To crawl multiple pages from a website, we need to understand the pagination structure of that site. You can easily do that by clicking the ‘Next’ button a few times from the homepage. Doing this on revealed that the pages are structured as, and so on. To switch to a different page, you only have to change the number at the end of this URL. Now, we need the scraper to do this automatically.
To do this, create a new sitemap with the start URL as 001-125]. The scraper will now open the URL repeatedly while incrementing the final value each time. This means the scraper will open pages starting from 1 to 125 and crawl the elements that we require from each page.
Step 2: Scraping Elements
Every time the scraper opens a page from the site, we need to extract some elements. In this case, it’s the gif image URLs. First, you have to find the CSS selector matching the images. You can find the CSS selector by looking at the source file of the web page (CTRL+U). An easier way is to use the selector tool to click and select any element on the screen. Click on the Sitemap that you just created, click on ‘Add new selector’. In the selector id field, give the selector a name. In the type field, you can select the type of data that you want to be extracted. Click on the select button and select any element on the web page that you want to be extracted. When you are done selecting, click on ‘Done selecting’. It’s easy as clicking on an icon with the mouse. You can check the ‘multiple’ checkbox to indicate that the element you want can be present multiple times on the page and that you want each instance of it to be scrapped.
Now you can save the selector if everything looks good. To start the scraping process, just click on the sitemap tab and select ‘Scrape’. A new window will pop up which will visit each page in the loop and crawl the required data. If you want to stop the data scraping process in between, just close this window and you will have the data that was extracted till then.
Once you stop scraping, go to the sitemap tab to browse the extracted data or export it to a CSV file. The only downside of such data extraction software is that you have to manually perform the scraping every time since it doesn’t have many automation features built-in.
If you want to crawl data on a large scale, it is better to go with a data scraping service instead of such free web scraper chrome extension data extraction tools like these. With the second part of this series, we will show you how to make a MySQL database using the extracted data. Stay tuned for that!
Web Scraping 101: 10 Myths that Everyone Should Know | Octoparse
1. Web Scraping is illegal
Many people have false impressions about web scraping. It is because there are people don’t respect the great work on the internet and use it by stealing the content. Web scraping isn’t illegal by itself, yet the problem comes when people use it without the site owner’s permission and disregard of the ToS (Terms of Service). According to the report, 2% of online revenues can be lost due to the misuse of content through web scraping. Even though web scraping doesn’t have a clear law and terms to address its application, it’s encompassed with legal regulations. For example:
Violation of the Computer Fraud and Abuse Act (CFAA)
Violation of the Digital Millennium Copyright Act (DMCA)
Trespass to Chattel
Misappropriation
Copy right infringement
Breach of contract
Photo by Amel Majanovic on Unsplash
2. Web scraping and web crawling are the same
Web scraping involves specific data extraction on a targeted webpage, for instance, extract data about sales leads, real estate listing and product pricing. In contrast, web crawling is what search engines do. It scans and indexes the whole website along with its internal links. “Crawler” navigates through the web pages without a specific goal.
3. You can scrape any website
It is often the case that people ask for scraping things like email addresses, Facebook posts, or LinkedIn information. According to an article titled “Is web crawling legal? ” it is important to note the rules before conduct web scraping:
Private data that requires username and passcodes can not be scrapped.
Compliance with the ToS (Terms of Service) which explicitly prohibits the action of web scraping.
Don’t copy data that is copyrighted.
One person can be prosecuted under several laws. For example, one scraped some confidential information and sold it to a third party disregarding the desist letter sent by the site owner. This person can be prosecuted under the law of Trespass to Chattel, Violation of the Digital Millennium Copyright Act (DMCA), Violation of the Computer Fraud and Abuse Act (CFAA) and Misappropriation.
It doesn’t mean that you can’t scrape social media channels like Twitter, Facebook, Instagram, and YouTube. They are friendly to scraping services that follow the provisions of the file. For Facebook, you need to get its written permission before conducting the behavior of automated data collection.
4. You need to know how to code
A web scraping tool (data extraction tool) is very useful regarding non-tech professionals like marketers, statisticians, financial consultant, bitcoin investors, researchers, journalists, etc. Octoparse launched a one of a kind feature – web scraping templates that are preformatted scrapers that cover over 14 categories on over 30 websites including Facebook, Twitter, Amazon, eBay, Instagram and more. All you have to do is to enter the keywords/URLs at the parameter without any complex task configuration. Web scraping with Python is time-consuming. On the other side, a web scraping template is efficient and convenient to capture the data you need.
5. You can use scraped data for anything
It is perfectly legal if you scrape data from websites for public consumption and use it for analysis. However, it is not legal if you scrape confidential information for profit. For example, scraping private contact information without permission, and sell them to a 3rd party for profit is illegal. Besides, repackaging scraped content as your own without citing the source is not ethical as well. You should follow the idea of no spamming, no plagiarism, or any fraudulent use of data is prohibited according to the law.
Check Below Video: 10 Myths About Web Scraping!
6. A web scraper is versatile
Maybe you’ve experienced particular websites that change their layouts or structure once in a while. Don’t get frustrated when you come across such websites that your scraper fails to read for the second time. There are many reasons. It isn’t necessarily triggered by identifying you as a suspicious bot. It also may be caused by different geo-locations or machine access. In these cases, it is normal for a web scraper to fail to parse the website before we set the adjustment.
Read this article: How to Scrape Websites Without Being Blocked in 5 Mins?
7. You can scrape at a fast speed
You may have seen scraper ads saying how speedy their crawlers are. It does sound good as they tell you they can collect data in seconds. However, you are the lawbreaker who will be prosecuted if damages are caused. It is because a scalable data request at a fast speed will overload a web server which might lead to a server crash. In this case, the person is responsible for the damage under the law of “trespass to chattels” law (Dryer and Stockton 2013). If you are not sure whether the website is scrapable or not, please ask the web scraping service provider. Octoparse is a responsible web scraping service provider who places clients’ satisfaction in the first place. It is crucial for Octoparse to help our clients get the problem solved and to be successful.
8. API and Web scraping are the same
API is like a channel to send your data request to a web server and get desired data. API will return the data in JSON format over the HTTP protocol. For example, Facebook API, Twitter API, and Instagram API. However, it doesn’t mean you can get any data you ask for. Web scraping can visualize the process as it allows you to interact with the websites. Octoparse has web scraping templates. It is even more convenient for non-tech professionals to extract data by filling out the parameters with keywords/URLs.
9. The scraped data only works for our business after being cleaned and analyzed
Many data integration platforms can help visualize and analyze the data. In comparison, it looks like data scraping doesn’t have a direct impact on business decision making. Web scraping indeed extracts raw data of the webpage that needs to be processed to gain insights like sentiment analysis. However, some raw data can be extremely valuable in the hands of gold miners.
With Octoparse Google Search web scraping template to search for an organic search result, you can extract information including the titles and meta descriptions about your competitors to determine your SEO strategies; For retail industries, web scraping can be used to monitor product pricing and distributions. For example, Amazon may crawl Flipkart and Walmart under the “Electronic” catalog to assess the performance of electronic items.
10. Web scraping can only be used in business
Web scraping is widely used in various fields besides lead generation, price monitoring, price tracking, market analysis for business. Students can also leverage a Google scholar web scraping template to conduct paper research. Realtors are able to conduct housing research and predict the housing market. You will be able to find Youtube influencers or Twitter evangelists to promote your brand or your own news aggregation that covers the only topics you want by scraping news media and RSS feeds.
Source:
Dryer, A. J., and Stockton, J. 2013. “Internet ‘Data Scraping’: A Primer for Counseling Clients, ” New York Law Journal. Retrieved from
Frequently Asked Questions about data scraping chrome extension
How do I scrape data in Chrome extensions?
Some extensions, like Web Scraper, integrate directly in Chrome’s Developer Tools which can be easily found by pressing Ctrl + Shift + I or just by hitting the F12 button. Once you can see the user interface, you are almost ready to go.
How do I scrape in Chrome?
To start the scraping process, just click on the sitemap tab and select ‘Scrape’. A new window will pop up which will visit each page in the loop and crawl the required data. If you want to stop the data scraping process in between, just close this window and you will have the data that was extracted till then.
What is instant data scraper?
Instant Data Scraper is an automated data extraction tool for any website. It uses AI to predict which data is most relevant on a HTML page and allows saving it to Excel or CSV file (XLS, XLSX, CSV).Jan 28, 2021