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About Price & Web Scraping Tools | Imperva
What is web scraping
Web scraping is the process of using bots to extract content and data from a website.
Unlike screen scraping, which only copies pixels displayed onscreen, web scraping extracts underlying HTML code and, with it, data stored in a database. The scraper can then replicate entire website content elsewhere.
Web scraping is used in a variety of digital businesses that rely on data harvesting. Legitimate use cases include:
Search engine bots crawling a site, analyzing its content and then ranking it.
Price comparison sites deploying bots to auto-fetch prices and product descriptions for allied seller websites.
Market research companies using scrapers to pull data from forums and social media (e. g., for sentiment analysis).
Web scraping is also used for illegal purposes, including the undercutting of prices and the theft of copyrighted content. An online entity targeted by a scraper can suffer severe financial losses, especially if it’s a business strongly relying on competitive pricing models or deals in content distribution.
Scraper tools and bots
Web scraping tools are software (i. e., bots) programmed to sift through databases and extract information. A variety of bot types are used, many being fully customizable to:
Recognize unique HTML site structures
Extract and transform content
Store scraped data
Extract data from APIs
Since all scraping bots have the same purpose—to access site data—it can be difficult to distinguish between legitimate and malicious bots.
That said, several key differences help distinguish between the two.
Legitimate bots are identified with the organization for which they scrape. For example, Googlebot identifies itself in its HTTP header as belonging to Google. Malicious bots, conversely, impersonate legitimate traffic by creating a false HTTP user agent.
Legitimate bots abide a site’s file, which lists those pages a bot is permitted to access and those it cannot. Malicious scrapers, on the other hand, crawl the website regardless of what the site operator has allowed.
Resources needed to run web scraper bots are substantial—so much so that legitimate scraping bot operators heavily invest in servers to process the vast amount of data being extracted.
A perpetrator, lacking such a budget, often resorts to using a botnet—geographically dispersed computers, infected with the same malware and controlled from a central location. Individual botnet computer owners are unaware of their participation. The combined power of the infected systems enables large scale scraping of many different websites by the perpetrator.
Malicious web scraping examples
Web scraping is considered malicious when data is extracted without the permission of website owners. The two most common use cases are price scraping and content theft.
In price scraping, a perpetrator typically uses a botnet from which to launch scraper bots to inspect competing business databases. The goal is to access pricing information, undercut rivals and boost sales.
Attacks frequently occur in industries where products are easily comparable and price plays a major role in purchasing decisions. Victims of price scraping can include travel agencies, ticket sellers and online electronics vendors.
For example, smartphone e-traders, who sell similar products for relatively consistent prices, are frequent targets. To remain competitive, they’re motivated to offer the best prices possible, since customers usually go for the lowest cost offering. To gain an edge, a vendor can use a bot to continuously scrape his competitors’ websites and instantly update his own prices accordingly.
For perpetrators, a successful price scraping can result in their offers being prominently featured on comparison websites—used by customers for both research and purchasing. Meanwhile, scraped sites often experience customer and revenue losses.
Content scraping comprises large-scale content theft from a given site. Typical targets include online product catalogs and websites relying on digital content to drive business. For these enterprises, a content scraping attack can be devastating.
For example, online local business directories invest significant amounts of time, money and energy constructing their database content. Scraping can result in it all being released into the wild, used in spamming campaigns or resold to competitors. Any of these events are likely to impact a business’ bottom line and its daily operations.
The following is excerpted from a complaint, filed by Craigslist, detailing its experience with content scraping. It reinforces how damaging the practice can be:
“[The content scraping service] would, on a daily basis, send an army of digital robots to craigslist to copy and download the full text of millions of craigslist user ads. [The service] then indiscriminately made those misappropriated listings available—through its so-called ‘data feed’—to any company that wanted to use them, for any purpose. Some such ‘customers’ paid as much as $20, 000 per month for that content…”
According to the claim, scraped data was used for spam and email fraud, among other activities:
“[The defendants] then harvest craigslist users’ contact information from that database, and initiate many thousands of electronic mail messages per day to the addresses harvested from craigslist servers…. [The messages] contain misleading subject lines and content in the body of the spam messages, designed to trick craigslist users into switching from using craigslist’s services to using [the defenders’] service…”
Web scraping protection
The increased sophistication in malicious scraper bots has rendered some common security measures ineffective. For example, headless browser bots can masquerade as humans as they fly under the radar of most mitigation solutions.
To counter advances made by malicious bot operators, Imperva uses granular traffic analysis. It ensures that all traffic coming to your site, human and bot alike, is completely legitimate.
The process involves the cross verification of factors, including:
HTML fingerprint – The filtering process starts with a granular inspection of HTML headers. These can provide clues as to whether a visitor is a human or bot, and malicious or safe. Header signatures are compared against a constantly updated database of over 10 million known variants.
IP reputation – We collect IP data from all attacks against our clients. Visits from IP addresses having a history of being used in assaults are treated with suspicion and are more likely to be scrutinized further.
Behavior analysis – Tracking the ways visitors interact with a website can reveal abnormal behavioral patterns, such as a suspiciously aggressive rate of requests and illogical browsing patterns. This helps identify bots that pose as human visitors.
Learn more about protecting your site from malicious bot traffic with Imperva’s bot management solution.
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How does web scraping work? | ParseHub
So, you’ve heard about web scraping and how it can extract data from any ever, you might be wondering how web scraping works in the first ’s review and break down the main concepts of web is Web Scraping? We’ll start with the scraping refers to the extraction of data from a website. In most cases, this is done using software tools such as web the data is scraped, you’d usually then export it in a more convenient format such as an Excel spreadsheet or to learn more about web scraping? Check out our in-depth guide on what web scraping kind of web scrapers are there? Web scrapers come in all shapes and sizes. In fact, you could just build your own web scraper if you’re up to the most cases, you’d download a pre-built web scraping tool that meets the needs of your web scraping web scrapers usually come as either browser extensions or more powerful applications that are actually installed on your these can either run the scrapes directly on your device or run it in the cloud, freeing up your device to how different every web scraper is, finding the best tool for your project might be difficult. Luckily, we’ve put together a guide on how to find the best web scraper for your does Web Scraping Work? Web scrapers work in somewhat complex ways. After all, their goal is to understand the structure of a website in order to extract the data needed and export it as a whole new most cases, web scrapers will be given a specific URL (or a whole list) to scrape data from. Then the scraper will either extract all the data on the page or you’d be able to select the specific data you’d want to, the scraper will run and let the user download the data as Excel sheet or other to see it in action? Check out the video below or read our guide on how to scrape any website into an Excel can web scraping be used for? We are obvious fans of web scrapings and of how companies can use it to power up their are some notable examples:Real Estate listings scraping (in the real estate industry)Scraping product data to build price comparison toolsScraping website for new lead informationUsing web scraping to assist with website transitionsSocial Media scraping for sentiment analysisScraping stock prices for market analysisThe list of things that web scraping is used for is almost endless. If you want to learn more? Check out our guide on how businesses use web scraping in their daily operations.
Is Web Scraping Legal ? – WebHarvy
Web Scraping is the technique of automatically extracting data from websites using software/script. Our software, WebHarvy, can be used to easily extract data from any website without any coding/scripting knowledge.
Is it legal to scrape data from websites using software? The answer to this question is not a simple yes or no.
The real question here should be regarding how you plan to use the data which you have extracted from a website (either manually or via using software). Because the data displayed by most website is for public consumption. It is totally legal to copy this information to a file in your computer. But it is regarding how you plan to use this data that you should be careful about. If the data is downloaded for your personal use and analysis, then it is absolutely ethical. But in case you are planning to use it as your own, in your website, in a way which is completely against the interest of the original owner of the data, without attributing the original owner, then it is unethical, illegal.
Also, while extracting data from websites using software, since web scrapers can read and extract data from web pages more quickly than humans, care should be taken that the web scraping process does not affect the performance/bandwidth of the web server in any way. Most web servers will automatically block your IP, preventing further access to its pages, in case this happens.
How to anonymously scrape data from websites?
Update: US federal court rules that web scraping does not violate hacking laws
Scrape Data Anonymously
WebHarvy is an easy-to-use visual web scraper which lets you scrape data anonymously from websites, thereby protecting your privacy. Proxy servers or VPNs can be easily used along with WebHarvy so that you are not connected directly to the web server during data extraction. Also, to minimize the load on web servers, and to avoid detection, there are options to automatically insert pauses & emulate a human user during the web scraping process.
Frequently Asked Questions about what is meant by web scraping
What is web scraping and how it works?
Web scraping refers to the extraction of data from a website. In most cases, this is done using software tools such as web scrapers. Once the data is scraped, you’d usually then export it in a more convenient format such as an Excel spreadsheet or JSON.Feb 24, 2020
Is web scraping legal?
Web Scraping is the technique of automatically extracting data from websites using software/script. … Because the data displayed by most website is for public consumption. It is totally legal to copy this information to a file in your computer.
What does scraping mean on Internet?
Web scraping is a term for various methods used to collect information from across the Internet. Generally, this is done with software that simulates human Web surfing to collect specified bits of information from different websites. … Web scraping is also called Web data extraction, screen scraping or Web harvesting.