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Web Scraping Projects & Topics For Beginners [2021] – upGrad
Home > Data Science > Web Scraping Projects & Topics For Beginners [2021]
In this article, we’ll take a look at some exciting web scraping project ideas. We have assorted a list of multiple projects of various industries and skill levels to choose one according to your liking.
Web Scraping has many names, such as Web Harvesting, Screen Scraping, and others. It is a method of extracting large quantities of data from websites and storing it at a particular location (a local file in your computer or a database in a table).
What is Web Scraping? Why Perform Web Scraping? Web Scraping Projects1. Scrape a SubredditHow to work on this project2. Perform Consumer ResearchHow to work on this project3. Analyse CompetitorsHow to Work on This Project4. Use Web Scraping for SEOHow to work on this project5. Scrape Data of Sports TeamsHow to work on this project6. Get Financial DataHow to work on this projectScrape a Job PortalHow to work on this projectConclusionWhat is the difference between web crawling and web scraping? What are the essentials that must be kept in mind while creating a consumer research project? How can web scraping be used for SEO purposes?
What is Web Scraping?
Whenever you want any information, you Google it and go to the webpage, which offers the most relevant answer to your query. You can view the data you needed, but what if you need to save it locally? What if you want to see the data of a hundred more pages?
Most of the webpages present on the internet don’t offer the option to save the data present there locally. To keep it that way, you’ll have to copy and paste everything manually, which is very tedious. Moreover, when you have to save the data of hundreds (sometimes, thousands) of webpages, this task can seem strenuous. You might end up spending days just copy-pasting bits from different websites. Check out our website if you want to learn data science.
This is where web scraping comes in. It automates this process and helps you store all the required data with ease and in a small amount of time. For this purpose, many professionals use web scraping software or web scraping techniques.
Read more: Top 7 Data Extraction Tools in the Market
Why Perform Web Scraping?
In data science, to do anything, you need to have data at hand. To get that data, you’ll need to research the required sources, and web scraping helps you. Web scraping collects and categorizes all the required data in one accessible location. Researching with a single, convenient location is much more feasible and more comfortable than searching for everything one-by-one.
Just as data science is prevalent in many industries, web scraping is widespread too. When you take a look at the web scraping project ideas we’ve discussed here, you will notice how various industries use this technique for their benefit.
Now that you’re familiar with the basics of web scraping, we should start discussing web scraping projects too
Web Scraping Projects
The following are our web scraping project ideas. They are of different industries so that you can choose one according to your interests and expertise.
1. Scrape a Subreddit
Reddit is one of the most popular social media platforms out there. It has communities called subreddits, for nearly every topic you can imagine. From programming to World of Warcraft, there is a community for everything on Reddit. All of these communities are quite active, and their members (on a side note: Reddit’s users are called Redditors)share a lot of valuable information, opinions, and content.
Learn more: 17 Fun Social Media Project Ideas & Topics For Beginners
How to work on this project
Reddit’s thriving communities are a great place to try out your web scraping abilities. You can scrape its subreddits for particular topics and figure out what its users say about it (and how often they discuss it). For example, you can scrape the subreddit r/webdev, where web development professionals and enthusiasts discuss the various aspects of this field. You can scrap this subreddit for a particular topic (such as finding jobs).
This was just an example, and you can choose any subreddit and use it as your target.
This project is suitable for beginners. So, if you don’t have much experience using web scraping techniques, you should start with this one. You can modify the difficulty level of this project by selecting a smaller (or bigger) subreddit.
2. Perform Consumer Research
Consumer research is a vital aspect of marketing and product development. It helps a company understand what their targeted consumers want, whether their customers liked their product or not, and how the general public perceives their product or services. If you’d use your data science expertise in marketing, you’d have to perform consumer research many times.
Researching potential buyers helps a company in many ways. They get to know:
What are the likings of their prospective clients
What are the things their prospective customers hate
What products they use
What products they avoid
This is just the tip of the iceberg; consumer research (also known as consumer analysis) can cover many other areas.
To perform consumer research, you can gather data from customer review websites and social media sites. They are a great place to start with.
Here are some popular review sites where you can start to get the necessary data:
Trustpilot
Yelp
GripeO
BBB
These are just a few names. Apart from these review sites, you can head to Facebook to gather links as well. If you find any blogs that cover your company’s products, then you can include them in your web scraping efforts as well. They are an excellent source for getting valuable insight.
Doing this project will help you in performing many other tasks in data science, particularly sentiment analysis. So, pick a brand (or a product) and start researching its reviews online.
Learn more: Data Analytics Is Disrupting These 4 Martech Roles
3. Analyse Competitors
Competitive analysis is one of the many aspects of digital marketing. It also requires data scientists and analysts’ expertise because they have to gather data and find what their competition is doing.
You can perform web scraping for competitive analysis too. Completing this project will help you considerably in understanding how this skill can help brands in digital marketing, one of the most crucial aspects in today’s world.
How to Work on This Project
First, you should choose an industry of your liking. You can start with car companies, teaching companies (such as upGrad), or any other. After that, you have to pick a brand for which you’ll analyze the competitors. We recommend starting with a small brand if you are a beginner because they have fewer competitors than major ones.
Once you’ve picked the brand, you should search for its competitors. You’ll have to scrape the web for their competitors, find what they sell, and how they target their audience. If you’ve picked a tiny brand and don’t know its competitors, you should search for its product categories. For example, if you picked Tata Motors as your brand, you’d search for a phrase similar to ‘buy cars in India. ’ The search result will show you many cars of different brands, all of which are competitors of Tata Motors.
You can build a scraping tool that analyses your selected brand’s competitors and shows the following data:
What are their products?
What are the prices of their products?
What are the offers on their products (or services)?
Are they offering something which your brand isn’t?
You can add more sections, depending on your level of expertise and skill. This list is just to give you an idea of what you should look for in your selected brand’s competitors.
Such web scraping is particularly beneficial for new and growing companies. If you aspire to work with startups in the future, this is the perfect project idea. To make this project more challenging, you can increase the number of competitors you want to analyze. If you’re a beginner, you can start with one or two competitors, whereas if you’re a little advanced, you can start with three or four competitors.
4. Use Web Scraping for SEO
Search Engine Optimization (also known as SEO) is the task of modifying a website, matching the preferences of search engines’ algorithms. As the number of internet users is steadily rising, the demand for effective SEO is also increasing. SEO impacts the rank of a website when a person searches for a particular keyword.
It is a humongous topic and requires a complete guide. All you need to know for SEO is that it requires specific criteria that a website has to fulfill. You can read more on SEO and what it is in our article on how to build an SEO strategy from scratch.
You can use web scraping for SEO and help websites ranking higher for keywords.
You can build a data scraping tool that scrapes your selected websites’ rankings for different keywords. The tool can extract the words these companies use to describe themselves too. You can use this technique for specific keywords and assort a list of websites. A marketing team can use this list to use the best keywords out of that list and help their website rank higher.
While this is a simple application of web scraping in SEO, you can make it more advanced. For example, you can create a similar tool but add the function of getting the metadata of those web pages. This would include the title of the web page (the text you see on the tab) and other relevant pieces of information.
On the other hand, you can build a web scraper that checks the word count of the different pages ranking for a keyword. This way you can understand the impact word count has on the ranking of a webpage
There are many ways to make a web scraper for SEO. You can take inspiration from Moz or Ahrefs and build an advanced web scraper yourself. There’s a lot of demand for useful web scraping tools in the SEO industry.
If you are interested in using your tech skills in digital marketing, this is an excellent project. It will make you familiar with the applications of data science in online marketing as well. Apart from that, you’ll also learn about the multiple methods of using web scraping for search engine optimization.
5. Scrape Data of Sports Teams
Are you a sports fan? If so, then this is the perfect project idea for you. You can use your knowledge of web scraping to scrape data from your favorite sports team and find some interesting insights. You can choose any team you like of any popular sports.
You can choose your favorite team and scrape the websites of their official website, the organization that handles their sports, and relevant archives. For example, if you’re a cricket fan, you can use ESPN’s cricket statistics database.
After you’ve scraped this data, you’d have all the required information on your favorite team. You can expand this project and add more teams in your collection to make this project a little more challenging.
However, this is among the most suitable web scraping projects for beginners. You can learn a lot about web scraping and its applications in a fun and exciting manner.
6. Get Financial Data
The finance sector uses a lot of data. Financial data is useful in many ways as it helps investors analyze a company’s performance and reliability. Similarly, it helps a company in analyzing its position and where it stands in terms of finances. If you want to use your knowledge of data and web scraping in the finance sector, then you should work on this project.
There are multiple ways to go about this project. You can start by scraping the web for the performance of a company’s stock in a set period and the news articles related to the company of that period. This data can help an investor figure out how different things affected that particular company’s stock price. Apart from that, this data will also help the investor understand what factors affect the company’s stock price, which factors don’t.
Financial statistics are crucial for any company’s health. They help the stakeholders of a company understand how well (or how badly) their business is performing. Financial data is always helpful, and this project will allow you to use your skills in this regard.
You can start with a single company initially and make the project more challenging by adding the data from more companies. However, if you want to focus on one particular company, you can increase the timeline and look at the data of a year or more.
Scrape a Job Portal
It is among the most popular web scraping project ideas. There are many job portals on the web, and if you’ve ever thought of using your expertise in data science in human resources, this is the right project for you.
There are many job portals online, and you can pick anyone for this project. Here are some places to get you started:
In this project, you can build a tool that scrapes a job portal (or multiple job portals) and checks the requirements of a particular job. For example, you can look at all the ‘data analyst’ jobs present in a job portal and analyze its job requirements to see the most popular criteria for hiring one such professional.
You can add more jobs or portals in your search to add more difficulty to this project. It’s a fantastic project for anyone who wants to apply data science in management and relevant streams.
Also Read: Data Science Project Ideas & Topics
Conclusion
We hope you found this list of web scraping project ideas useful and exciting. If you have any thoughts or suggestions on this article or topic, feel free to let us know. On the other hand, if you want to learn more, you should head to our blog to find many relevant and valuable resources.
You can enroll in a data science course as well to get a more individualized learning experience. A course can help you learn all the important topics and concepts in a personalized approach so you can be job-ready in very little time.
If you are curious to learn about data science, check out IIIT-B & upGrad’s Executive PG Programm in Data Science which is created for working professionals and offers 10+ case studies & projects, practical hands-on workshops, mentorship with industry experts, 1-on-1 with industry mentors, 400+ hours of learning and job assistance with top firms.
What do you think of these project ideas? Which one of these ideas did you like the most? Let us know in the comments.
What is the difference between web crawling and web scraping?
Many people get confused between web crawling and web scraping and end up considering them as equivalent. Well, they are two separate terms with totally different meanings. The web crawler is artificial intelligence, also known as “the spider” that surfs the internet and searches the required content by following the links. Web scraping is the next step after web crawling. In web scraping, data is extracted automatically using artificial intelligence known as “scrapers”. This extracted data can be used for various processes like comparison, analysis, and verification based upon the client’s needs. It also allows you to store a large amount of data within a small amount of time.
What are the essentials that must be kept in mind while creating a consumer research project?
Consumer research is crucial for every product-based company and there are certain things that one must keep in mind while working on a project on consumer research. There is a lot more to research and analyze while working on a consumer research project. There are various websites that provide the necessary data on consumer preferences like Trustpilot, Yelp, GripeO, and BBB. Apart from these review sites, you can also visit Facebook to get the links.
How can web scraping be used for SEO purposes?
Search Engine Optimization or SEO is a process that improves the visibility of your site whenever someone’s search meets your website domain. For example, you have an e-commerce website and some search for a product that is available on your website as well as on your competitors’ websites. Now, whose website or webpage among you and your competitor will occur first will depend on the SEO. Web scraping can be used for SEO and help websites ranking higher for keywords. You can build a web scraper that checks the word count of the different pages ranking for a keyword. You can even add the functionality in your web scraper to get the meta description or metadata of those web pages.
Master The Technology of the Future – Data Science
Top 10 Most Scraped Websites in 2020 | Octoparse
Table of Contents
Introduction
Overview
Top 10 scraped websites
Final thoughts
Web scraping is the best data-collection method if you are looking to grab data on web pages. As capital flows around the globe through the Internet, web scraping is widely used among businesses, freelancers and researchers as it helps gather web data on a global basis, accurately and efficiently.
We listed the top 10 most scraped websites here according to how much the Octoparse task templates were used in 2020. As you read along, you may come up with your own web scraping idea. Don’t worry if you are a newbie in web scraping! Octoparse offers pre-built templates for non-coders and you can start your scraping project.
What is an Octoparse task template? For programmers, in order to scrape the web, they are able to write scripts and run it in Python or whatever ways. A task template is like an already written script and the only part you have to do is to figure out what data you want and enter the keywords/URLs on our task template interface.
Note: If you have any problem in the use of templates, please feel free to contact our support:
Ecommerce sites are always the most scraped websites among others, both in frequency and quantity. As shopping online becomes a household lifestyle, ecommerce affects people in all walks of life. Online sellers, storefront retailers and even consumers are all ecommerce data collectors.
Directories sites earn the second rank in the race and this isn’t surprising at all. Directories sites organize businesses by categories thus serve as a functional information filter which is a good pick for efficient data collection. Many are scraping directories sites for contact information to boost their sales leads.
Social media incorporates a wealth of information concerning human opinions, emotions and daily actions. Generally speaking, scraping from social media sites is more challenging than from others. That is because many social media sites employ strong anti-scraping techniques in order to protect users’ privacy. Yet, social media still serves as an important source of information for sentiment analysis and all kinds of research.
Other sites fall into categories such as tourism, job board and search engine. In fact, people of all industries are taking advantage of the web scraping technique to exploit data value to service their interests.
Let’s get to the Top 10 list directly and check out which websites were most scraped in 2020 and how they are helpful for our data collectors!
TOP 10 Most Scraped Websites
Top 10. Mercadolibre
Mercadolibre may not be familiar to all but it is a household ecommerce marketplace in Latin American countries with Brazil as its largest contributor in revenue. The pandemic accelerates its growth and now the company is worth $63 billion on Nasdaq. It is depicted as “Latin America’s answer to China’s Alibaba” in the Financial Times.
found this site the most popular among our Spanish users and we formulated the ready-to-use template where users can enter the listing page URLs and get the product data: product name, price, detail page URL, image URLs, etc.
Top 09. Twitter
According to Statistics, there are around 330 million monthly active users and 145 million daily active users on Twitter. With a great number of users, Twitter is not only a platform for socializing and sharing, but also becomes a perfect place for branding and marketing.
People are seeking data on Twitter for various reasons, namely industrial research, sentiment analysis, customer experience management, etc. And if you read this article about text mining Donald Trump’s tweets, you know tweets data can be used in more different ways.
Task templates for Twitter are widely consulted at our support center and we have delivered a good number of customizable templates for our customers. If you use pre-built templates on Octoparse, you can get post data or profile info from certain authors:
Top 8. Indeed
According to Indeed, the giant job board has received 175 million CVs in total. Seeking jobs online now is so natural that we barely remember how a traditional job fair looks like. Building a job aggregator, especially for niche markets, has become a profitable business in recent years. And guess how people do this? Yes, web scraping is the trick.
Job board builders are not the only people benefit from job sites data. Human Resources professionals, job-seekers, to-be job hoppers, researchers focused on recruitment and job markets are all eager for jobs data. If you are seeking a job, having a big picture of the market always helps with your bargain.
Here is the Indeed sample data captured with Octoparse and actually there are more to explore:
Top 7. Tripadvisor
Travel industry has seen a blow during the pandemic and now the recovery is happening. The need to scrape tourism websites could bounce up as well. While why would people scrape websites like, tripadvisor, Airbnb? One of the examples could be service agents who offer integrated service for tourists, including ticketing, hotel/restaurant booking.
Web scraping is also widely used for price comparison and this is how smart people build price comparison sites to service the public. If you try, you may build a price comparison site for flight tickets to help tourists book the most economic one!
Octoparse’s Tripadvisor template is available both in English and Spanish versions and the data sample below shows hotel details on Tripadvisor. Just enter the search result URL, this is what you can get:
Top 6. Google
With its super machine learning algorithm, Google could be the robot who knows everybody better than their families and friends. That’s all about data. From an individual’s perspective, what can we get from Google?
SEO marketers may be the bunch of people most interested in Google search. They scrape Google search results to monitor a set of keywords, to gather TDK (short for Title, Description, Keywords: metadata of a web page that shows on the result list and has critical influence on the click-through rate) information for a SEO optimization strategy.
In addition to google search result extraction, Octoparse offer template for Google Map as well. Enter the URL of the search result page, Octoparse will get you well-organized data of the related stores:
Top 5. Yellowpages
According to Wikipedia,, also known as “YP”, was founded in 1996 and over decades of development, the site has developed into the most well-known directory web site and hosts 60 million visitors per month.
Well, in the eyes of web scraping people, yellowpages is the perfect place to gather contact information and addresses of businesses based on location. If you are a retailer and finding competitors in your area is as simple as a few clicks. If you are a salesman and looking to generate sales leads efficiently? Check out this story and you will know what I am talking about.
Below screenshot shows what data Octoparse template can get for you: shop name, rating, address, phone number, etc. And the data can be exported into forms like Excel, CSV and JSON. Inspired by the sample data below? Check out this leads generation with web scraping step by step guide.
Top 4. Yelp
Same as, Yelp can get you businesses data based on location. And there’s more. When you are travelling around and a question pops up in your mind: who has the best pizza in the city? That’s where Yelp comes into the scene. Yelp serves not only as a business directory but also a free consultant for consumers in food-hunting, home services and who are looking for a good massage.
That’s about ranking and reviews, which is gold data for businesses. Those scraping Yelp are capitalizing on the reviews and ranking data to get an idea of what their business looks like in a customer’s eye and also for competition analysis.
>>You may interested in this video: Scrape from Yelp SIMPLE & EASY
Yelp template is available on Octoparse. This is how the data looks like:
Top 3. Walmart
If you are interested in the retail business landscape, this article from Vox has portrayed an image of how retailers use data to track every move of their customers in order to promote sales. While the real thing is that data is also used to form a transparent market and serve shoppers’ interests.
Price comparison sites are generated under the work of web scraping. Walmart can be one of the targets to scrape from as its slogan reads “Save Money Live better”. That’s one of the reasons people are scraping from Walmart. For retailers and groceries, Walmart is also an important source of information to get the product data for a market research.
>>Check out this guide to scrape from Walmart
Walmart template is available on Octoparse. This is how the data looks like:
Top 2. eBay
Ecommerce websites are always those most popular websites for web scraping and eBay is definitely one of them. We have many users running their own businesses on eBay and getting data from eBay is an important way to keep track of their competitors and follow the market trend.
There is a customer story mostly impressive to me. The customer is an eBay seller and he is diligently scraping data from eBay and other ecommerce marketplaces regularly, building up his own database across time for in-depth market research.
>>If you are interested in using Octoparse eBay template, check this out: Scraping from eBay guide and if you are confident to build your own crawler on Octoparse, this video can guide you through the crawler building process.
Top 1. Amazon
Yes it is not surprising that Amazon ranks the most scraped website. Amazon is taking the giant shares in the ecommerce business which means that Amazon data is the most representative for any kind of market research. It has the largest database.
While, getting ecommerce data faces challenges. The biggest challenge for scraping Amazon could be the captcha and we get it handled. Captcha is a way to prevent the site’s from crashing as too many are craving for Amazon data and frequent scraping can overload the servers. Octoparse employs cloud extraction and IP rotation which can perfectly nail it.
Scraping from Amazon can give you data for all below purposes:
Price tracking
Competition analysis
MAP monitoring
Product selection
Sentiment analysis
…
>>More to know about why scraping ecommerce websites
Using Octoparse Amazon template, you can gather product data like ASIN, star rating, price, color, style, reviews and more.
style=”font-size: 10pt;”>Octoparse Amazon scraper sample data
Final Thoughts
Data is the new oil while without a handy tool, not everyone is able to exploit the value out of it. Octoparse is working to make data more easily accessible to the public whether they can code or not. In this way, all of us can get a hand on the needed data and create value for the world through data analysis.
If you are interested in generating original opinions and just lack the data to back you, get your data!
Author: Cici
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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 fun websites to scrape
What are good scrape websites?
Top 10 Most Scraped Websites in 2020Table of Contents.Overview.Top 10. Mercadolibre.Top 09. Twitter.Top 8. Indeed.Top 7. Tripadvisor.Top 6. Google.Top 5. Yellowpages.More items…•Dec 31, 2020
Is it legal to scrape news websites?
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.Aug 16, 2021
Can websites detect 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
