Websites That Allow Web Scraping

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Top 10 Most Scraped Websites in 2020 | Octoparse

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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Video:3 Easy Steps to Boost Your eCommerce Buiness
Video:How Big Companies Build Their Price Comparison Model
How To Scrape A Website Without Getting Blacklisted | Hacker Noon

How To Scrape A Website Without Getting Blacklisted | Hacker Noon

Website scraping is a technique used to extract large amounts of data from web pages and storing them on your computer. The data on the websites can only be viewed using a web browser, and it cannot be saved for your personal use. The only way to do that is to copy and paste it manually, which can be a tedious task. This whole process can be automated using web scraping techniques. Using an advanced infrastructure like the SERP API, you can scrape the data successfully. You can also build your own web ChoudharyA Digital Nomad Embracing Change! Website scraping is a technique used to extract large amounts of data from web pages and storing them on your computer. It could take hours or even days to complete the ever, this whole process can be automated using web scraping techniques. You don’t need to copy and paste the data manually; instead, you can use web scrapers to finish the task within a small amount of time. If you already know what scraping is, then chances are you know how helpful it can be for marketers and organizations. It can be used for brand monitoring, data augmentation, tracking latest trends, sentiment analysis to name a are a lot of scraping tools available which you can use for web-based data collection. However, not all those tools work efficiently as search engines do not want scrapers to extract data from its result pages. But using an advanced infrastructure like the SERP API, you can scrape the data successfully. Other tools like scrapy, parsehub provides an infrastructure to scrape the data by completely mimicking human behavior these tools are quite beneficial, but they are not entirely free for use. You can also build your own web scraper. But keep in mind, you have to be very smart about it. Let’s talk about some tips to avoid getting blacklisted while scraping the RotationSending multiple requests from the same IP is the best way to ruin you get blacklisted by the websites. Sites detect the scrapers by examining the IP address. When multiple requests are made from the same IP, it blocks the IP address. To avoid that, you can use proxy servers or VPN which allows you to route your requests through a series of different IP addresses. Your real IP will be masked. Therefore, you will be able to scrape most of the sites without a SlowlyWith scraping activities, the tendency is to scrape data as quickly as possible. When a human visits a website, the browsing speed is quite slow as compared to crawlers. Thus, websites can easily detect scrapers by tracking access speed. If you’re going through the pages way too fast, the site is going to block you. Adjust the crawler to optimum speed, add some delays once you’ve crawled a few pages, and put some random delay time between your requests. Do not slam the server, and you’re good to Different Scraping PatternsHumans browse websites differently. There is a different view time, random clicks, etc. when users visit a site. But the bots follow the same browsing pattern. 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. Consider adding some clicks, mouse movements, etc. to make the scraper look like a Not Fall For Honeypot TrapsA honeypot is a computer security mechanism set up to detect the scrapers. They are the links which are not visible to the users and can be found in the HTML code. So, they are only visible to web scrapers. When a spider visits that link, the website will block all the requests made by that client. Therefore, it is essential to check for the hidden links on a website while building a sure that the crawler only follows links which have proper visibility. Some honeypot links are cloaked using the same color on the text as that of the background. The detection of such traps is not easy, and it will require some programming skills to avoid such User AgentsA User-Agent request header consists of a unique string which helps to identify the browser being used, its version, and the operating system. The web browser sends the user-agent to the site every time a request is being made. Anti-scraping mechanisms can detect bots if you make a large number of requests from a single user agent. Eventually, you will be blocked. To avoid this situation, you should create a list of user-agents and switch the user agent for each request. No site want to block genuine users. Using popular user agents like Googlebot can be helpful. Headless BrowserSome websites are really hard to scrape. They detect browser extensions, web fonts, browser cookies, etc. to check whether the request is coming from a real user or not. If you want to scrape such sites, you will need to deploy a headless browser. Tools like Selenium, PhantomJS are a few options that you can explore. They can be a bit hard to set up but can be very helpful in these tips can help you refine your solutions, and you will be able to scrape the websites without getting blocked. TagsJoin Hacker Noon Create your free account to unlock your custom reading experience.
Everything About Web Scraping | Towards Data Science

Everything About Web Scraping | Towards Data Science

Everywhere you look nowadays there are machines doing things for humans. A lot of things are being automated very easily with the help of the development of technology and just need all of it right now and why wouldn’t you make it easier for yourself too? That is exactly what Web Scraping is about. It is a term used for getting the data from Web Pages you get the data you desire, you can do a lot of things with it and that is up to you, but in this article, I would like to go over some of the best usages of Web Scraping and answer some of the general questions about this is Web Scraping? Web scraping is a method used to get great amounts of data from websites and then data can be used for any kind of data manipulation and operation on this technique, we use web browsers. You usually do not have the built-in option to get that data you want. That is why we use Web Scraping to automate the process of getting that data and not having to do it manually. Web Scraping is the technique of automating this process so that instead of manually copying the data from nefits and Usages of Web ScrapingAs already mentioned, with this method you can get large amounts of data at once, but it is not the only use it you can get the data from web sites just imagine what you can make. Data manipulation is key are some examples:Analysis: Gather data and make an Analysis Tool, which tracks your data. You can use this method for research. Maybe even predict behavior with Machine Learning or more complex ideas (How to Make an Analysis Tool with Python)Price compare: Get prices from different web sites and compare them to get an overview of the market and that way you can save money! (How to Save Money with Python)Email lists: Collect email addresses for the purposes of marketing and promotions. There are so many emails you receive on a daily basis from companies you never even heard of, well that’s Searching for a job can get really hard because of the listings being spread different web sites, which are confusingSocial Media: Scrape data from Facebook, Instagram or Twitter, etc. in order to get the number of Followers/Unfollowers or what is trending at that are some of the most general uses of Web Scraping and those are my ideas, but depending on your job and usage of web sites, you might have some other ideas on how you should implement it! The point is that more automation in your workflow you have, the better for Programming Language for Web ScrapingObviously Python. There are so many diverse libraries you can use for web scraping. Some of them are:Selenium: This library uses Web Driver for Chrome in order to test commands and process the web pages to get to the data you need. (Example of Usage: How to Make an Analysis Tool with Python and if you want to learn more about it Top 25 Selenium Functions That Will Make You Pro In Web Scraping)BeautifulSoup: Python library for pulling data out of HTML and XML files. It creates data parse trees in order to get data easily. (Example of Usage: How to Save Money with Python)Pandas: Used for data extraction and manipulation. Usually, for databases, it saves data to a certain is not just about libraries that Python has, but also Python is one of the easiest languages to use and is one of the most powerful problemThere are websites, which allow scraping and there are some that don’ order to check whether the website supports web scraping, you should append “/” to the end of the URL of the website you are will tell you all about the details of the website including information about scraping, here is an example: such a case, you have to check on that special site dedicated to web be aware of copyright and read up on fair exampleNow that we covered basically all main points for web scraping let’s create a simple example for web scraping you want something concrete, check out advanced examples for this: How to Make an Analysis Tool with Python and How to Save Money with stead, we are going to make a simple script to get some data from a website! Similar to this article, we will get the price and title from the ’s jump right into it! Plan the processFirst, we have to find the items that we want to track. I found this laptop that is pretty affiliate link to the productFor this to work, we are going to need a couple of libraries, and so let’s set up the tting up the environmentOnce we are done with an item scouting, we open the editor. My personal choice is Visual Studio Code. It is straightforward to use, customizable, and light for your a new Project where ever you like and create one new file. This is an example of how mine looks like to help you:In the VS Code, there is a “Terminal” tab with which you can open an internal terminal inside the VS Code, which is very useful to have everything in one that terminal you should install libraries:pip3 install requestsRequests can be used so you can add content like headers, form data, multipart files, and parameters via simple Python libraries. It also allows you to access the response data of Python in the same pip3 install beautifulsoup4Beautiful Soup is a Python library for getting data out of HTML, XML, and other markup languages. pip3 install smtplibThe smtplib module defines an SMTP client session object that can be used to send mail to any Internet machine with an SMTP or ESMTP listener eating the ToolWe have everything set up and now we are going to code! First, as mentioned before, we have to import installed requestsfrom bs4 import BeautifulSoupimport smtplibWe will need two variables to use in this case and that is URL and is going to be a link to our product and the header is going to be a User-Agent, which we are going to use so we can access the right version of the browser and machine. To find out your User-Agent for the browser, you can do that here. Just replace the link after the “User-agent” part and put it into single quotes as I = ”In order to fix that we are going to do some text permutations or title we are going to use () function:print(())And for our price:sep = ‘, ‘con_price = (sep, 1)[0]converted_price = int(place(‘. ‘, ”))We use sep as the separator in our string for price and convert it to integer (whole number). headers = {“User-agent”: ‘Mozilla/5. 0 (X11; Linux x86_64) AppleWebKit/537. 36 (KHTML, like Gecko) Chrome/79. 0. 3945. 130 Safari/537. 36’}Next up, we are going to define our page with URL and header with the requests = (URL, headers=headers)soup = BeautifulSoup(ntent, ”)That will get to the link we want and now we just have to find elements on the page in order to compare them with the wished = (id=”productTitle”). get_text()price = (id=”priceblock_ourprice”). get_text()To find elements on the page we use () function and convert it to string with. get_text() and price we are going to save for the output of the program and make it look now, the element looks weird because there are too many spaces before and after the text we order to fix that we are going to do some text permutations or title we are going to use () function:print(())And for our price:sep = ‘, ‘con_price = (sep, 1)[0]converted_price = int(place(‘. ‘, ”))We use sep as the separator in our string for price and convert it to integer (whole number) is the whole code:We are done! If you want to learn more about Selenium functions, try here! I hope you liked this little tutorial and follow me for more! Thanks for reading! Follow me on MediumFollow me on Twitter

Frequently Asked Questions about websites that allow web scraping

Can websites tell if your 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

Do all websites allow web scraping?

Legal problem There are websites, which allow scraping and there are some that don’t. In order to check whether the website supports web scraping, you should append “/robots.txt” to the end of the URL of the website you are targeting. In such a case, you have to check on that special site dedicated to web scraping.Feb 17, 2020

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