Zyte (formerly Scrapinghub) #1 Web Scraping Service
Data Extraction ServicePerfect for data on demand projects and extraction our web scraping experts assess, build, and manage the bespoke data extraction solution for your us about your project and we’ll get back to you immediately with a free tomatic Extraction powered by AIPerfect if you need to instantly access web data growth and save time getting the data you need. Extract web data at scale while cutting down on coding and spider maintenance time by the Extraction API or Proxy ManagerPerfect if you need a proxy Proxy Manager (formerly Crawlera) is the world’s smartest rotating proxy web data is delivered quickly and reliably. So you can focus on extracting data, not juggling Data API Smart BrowserPerfect if you need an advanced antiban solutionNew smart browser API to handle complex data extraction. With smart browser functionality and browser rendering you can now easily handle antibots that target the browser ing with the worldTrusted by data driven organizationsFor developersIt’s all hereAPIs, data schemas and documentation. We’ve got the data extraction tools developers need.
Is Web Scraping Illegal? Depends on What the Meaning of the Word Is
Depending on who you ask, web scraping can be loved or hated.
Web scraping has existed for a long time and, in its good form, it’s a key underpinning of the internet. “Good bots” enable, for example, search engines to index web content, price comparison services to save consumers money, and market researchers to gauge sentiment on social media.
“Bad bots, ” however, fetch content from a website with the intent of using it for purposes outside the site owner’s control. Bad bots make up 20 percent of all web traffic and are used to conduct a variety of harmful activities, such as denial of service attacks, competitive data mining, online fraud, account hijacking, data theft, stealing of intellectual property, unauthorized vulnerability scans, spam and digital ad fraud.
So, is it Illegal to Scrape a Website?
So is it legal or illegal? Web scraping and crawling aren’t illegal by themselves. After all, you could scrape or crawl your own website, without a hitch.
Startups love it because it’s a cheap and powerful way to gather data without the need for partnerships. Big companies use web scrapers for their own gain but also don’t want others to use bots against them.
The general opinion on the matter does not seem to matter anymore because in the past 12 months it has become very clear that the federal court system is cracking down more than ever.
Let’s take a look back. Web scraping started in a legal grey area where the use of bots to scrape a website was simply a nuisance. Not much could be done about the practice until in 2000 eBay filed a preliminary injunction against Bidder’s Edge. In the injunction eBay claimed that the use of bots on the site, against the will of the company violated Trespass to Chattels law.
The court granted the injunction because users had to opt in and agree to the terms of service on the site and that a large number of bots could be disruptive to eBay’s computer systems. The lawsuit was settled out of court so it all never came to a head but the legal precedent was set.
In 2001 however, a travel agency sued a competitor who had “scraped” its prices from its Web site to help the rival set its own prices. The judge ruled that the fact that this scraping was not welcomed by the site’s owner was not sufficient to make it “unauthorized access” for the purpose of federal hacking laws.
Two years later the legal standing for eBay v Bidder’s Edge was implicitly overruled in the “Intel v. Hamidi”, a case interpreting California’s common law trespass to chattels. It was the wild west once again. Over the next several years the courts ruled time and time again that simply putting “do not scrape us” in your website terms of service was not enough to warrant a legally binding agreement. For you to enforce that term, a user must explicitly agree or consent to the terms. This left the field wide open for scrapers to do as they wish.
Fast forward a few years and you start seeing a shift in opinion. In 2009 Facebook won one of the first copyright suits against a web scraper. This laid the groundwork for numerous lawsuits that tie any web scraping with a direct copyright violation and very clear monetary damages. The most recent case being AP v Meltwater where the courts stripped what is referred to as fair use on the internet.
Previously, for academic, personal, or information aggregation people could rely on fair use and use web scrapers. The court now gutted the fair use clause that companies had used to defend web scraping. The court determined that even small percentages, sometimes as little as 4. 5% of the content, are significant enough to not fall under fair use. The only caveat the court made was based on the simple fact that this data was available for purchase. Had it not been, it is unclear how they would have ruled. Then a few months back the gauntlet was dropped.
Andrew Auernheimer was convicted of hacking based on the act of web scraping. Although the data was unprotected and publically available via AT&T’s website, the fact that he wrote web scrapers to harvest that data in mass amounted to “brute force attack”. He did not have to consent to terms of service to deploy his bots and conduct the web scraping. The data was not available for purchase. It wasn’t behind a login. He did not even financially gain from the aggregation of the data. Most importantly, it was buggy programing by AT&T that exposed this information in the first place. Yet Andrew was at fault. This isn’t just a civil suit anymore. This charge is a felony violation that is on par with hacking or denial of service attacks and carries up to a 15-year sentence for each charge.
In 2016, Congress passed its first legislation specifically to target bad bots — the Better Online Ticket Sales (BOTS) Act, which bans the use of software that circumvents security measures on ticket seller websites. Automated ticket scalping bots use several techniques to do their dirty work including web scraping that incorporates advanced business logic to identify scalping opportunities, input purchase details into shopping carts, and even resell inventory on secondary markets.
To counteract this type of activity, the BOTS Act:
Prohibits the circumvention of a security measure used to enforce ticket purchasing limits for an event with an attendance capacity of greater than 200 persons.
Prohibits the sale of an event ticket obtained through such a circumvention violation if the seller participated in, had the ability to control, or should have known about it.
Treats violations as unfair or deceptive acts under the Federal Trade Commission Act. The bill provides authority to the FTC and states to enforce against such violations.
In other words, if you’re a venue, organization or ticketing software platform, it is still on you to defend against this fraudulent activity during your major onsales.
The UK seems to have followed the US with its Digital Economy Act 2017 which achieved Royal Assent in April. The Act seeks to protect consumers in a number of ways in an increasingly digital society, including by “cracking down on ticket touts by making it a criminal offence for those that misuse bot technology to sweep up tickets and sell them at inflated prices in the secondary market. ”
In the summer of 2017, LinkedIn sued hiQ Labs, a San Francisco-based startup. hiQ was scraping publicly available LinkedIn profiles to offer clients, according to its website, “a crystal ball that helps you determine skills gaps or turnover risks months ahead of time. ”
You might find it unsettling to think that your public LinkedIn profile could be used against you by your employer.
Yet a judge on Aug. 14, 2017 decided this is okay. Judge Edward Chen of the U. S. District Court in San Francisco agreed with hiQ’s claim in a lawsuit that Microsoft-owned LinkedIn violated antitrust laws when it blocked the startup from accessing such data. He ordered LinkedIn to remove the barriers within 24 hours. LinkedIn has filed to appeal.
The ruling contradicts previous decisions clamping down on web scraping. And it opens a Pandora’s box of questions about social media user privacy and the right of businesses to protect themselves from data hijacking.
There’s also the matter of fairness. LinkedIn spent years creating something of real value. Why should it have to hand it over to the likes of hiQ — paying for the servers and bandwidth to host all that bot traffic on top of their own human users, just so hiQ can ride LinkedIn’s coattails?
I am in the business of blocking bots. Chen’s ruling has sent a chill through those of us in the cybersecurity industry devoted to fighting web-scraping bots.
I think there is a legitimate need for some companies to be able to prevent unwanted web scrapers from accessing their site.
In October of 2017, and as reported by Bloomberg, Ticketmaster sued Prestige Entertainment, claiming it used computer programs to illegally buy as many as 40 percent of the available seats for performances of “Hamilton” in New York and the majority of the tickets Ticketmaster had available for the Mayweather v. Pacquiao fight in Las Vegas two years ago.
Prestige continued to use the illegal bots even after it paid a $3. 35 million to settle New York Attorney General Eric Schneiderman’s probe into the ticket resale industry.
Under that deal, Prestige promised to abstain from using bots, Ticketmaster said in the complaint. Ticketmaster asked for unspecified compensatory and punitive damages and a court order to stop Prestige from using bots.
Are the existing laws too antiquated to deal with the problem? Should new legislation be introduced to provide more clarity? Most sites don’t have any web scraping protections in place. Do the companies have some burden to prevent web scraping?
As the courts try to further decide the legality of scraping, companies are still having their data stolen and the business logic of their websites abused. Instead of looking to the law to eventually solve this technology problem, it’s time to start solving it with anti-bot and anti-scraping technology today.
Get the latest from imperva
The latest news from our experts in the fast-changing world of application, data, and edge security.
Subscribe to our blog
8 Best Web Scraping Tools – Learn – Hevo Data
Web Scraping simply is the process of gathering information from the Internet. Through Web Scraping Tools one can download structured data from the web to be used for analysis in an automated fashion.
This article aims at providing you with in-depth knowledge about what Web Scraping is and why it’s essential, along with a comprehensive list of the 8 Best Web Scraping Tools out there in the market, keeping in mind the features offered by each of these, pricing, target audience, and shortcomings. It will help you make an informed decision regarding the Best Web Scraping Tool catering to your business.
Table of Contents
Understanding Web ScrapingUses of Web Scraping ToolsFactors to Consider when Choosing Web Scraping ToolsTop 8 Web Scraping ToolsParseHubScrapyOctoParseScraper Content GrabberCommon CrawlConclusion
Understanding Web Scraping
Web Scraping refers to the extraction of content and data from a website. This information is then extracted in a format that is more useful to the user.
Web Scraping can be done manually, but this is extremely tedious work. To speed up the process you can use Web Scraping Tools that would be automated, cost less, and work more swiftly.
How does a Web Scraper work exactly?
First, the Web Scraper is given the URLs to load up before the scraping process. The scraper then loads the complete HTML code for the desired page. The Web Scraper will then extract either all the data on the page or the specific data selected by the user before running the nally, the Web Scraper outputs all the data that has been collected into a usable format.
Uses of Web Scraping Tools
Web Scraping Tools are used for a large number of purposes like:
Data Collection for Market ntact Information Tracking from Multiple Monitoring.
Factors to Consider when Choosing Web Scraping Tools
Most of the data present on the Internet is unstructured. Therefore we need to have systems in place to extract meaningful insights from it. As someone looking to play around with data and extract some meaningful insights from it, one of the most fundamental tasks that you are required to carry out is Web Scraping. But Web Scraping can be a resource-intensive endeavor that requires you to begin with all the necessary Web Scraping Tools at your disposal. There are a couple of factors that you need to keep in mind before you decide on the right Web Scraping Tools.
Scalability: The tool you use should be scalable because your data scraping needs will only increase with time. So you need to pick a Web Scraping Tool that doesn’t slow down with the increase in data demand. Transparent Pricing Structure: The pricing structure for the opted tool should be fairly transparent. This means that hidden costs shouldn’t crop up at a later stage; instead, every explicit detail must be made clear in the pricing structure. Choose a provider that has a clear model and doesn’t beat around the bush when talking about the features being Delivery: The choice of a desirable Web Scraping Tool will also depend on the data format in which the data must be delivered. For instance, if your data needs to be delivered in JSON format, then your search should be narrowed down to the crawlers that deliver in JSON format. To be on the safe side, you must pick a provider that provides a crawler that can deliver data in a wide array of formats. Since there are occasions where you may have to deliver data in formats that you aren’t used to. Versatility ensures that you don’t fall short when it comes to data delivery. Ideally, data delivery formats should be XML, JSON, CSV, or have it delivered to FTP, Google Cloud Storage, DropBox, etc. Handling Anti-Scraping Mechanisms: There are websites on the Internet that have anti-scraping measures in place. If you are afraid you’ve hit a wall with this, these measures can be bypassed through simple modifications to the crawler. Pick a web crawler that comes in handy in overcoming these roadblocks with a robust mechanism of its stomer Support: You might run into an issue while running your Web Scraping Tool and might need assistance to solve that issue. Customer support, therefore, becomes an important factor while deciding on a good tool. This must be the priority for the Web Scraping provider. With great customer support, you don’t need to worry about if anything goes wrong. You can bid farewell to the frustration that comes from having to wait for satisfactory answers with good customer support. Test the customer support by reaching out to them before making a purchase and note the time it takes them to respond before making an informed decision. Quality Of Data: As we discussed before, most of the data present on the Internet is unstructured and needs to be cleaned and organized before it can be put to actual use. Try looking for a Web Scraping provider that provides you the required tools to help with the cleaning and organizing of data that is scraped. Since the quality of data will impact analysis further, it is imperative to keep this factor in mind.
Hevo offers a faster way to move data from databases, SaaS applications and 100+ other data sources into your data warehouse to be visualized in a BI tool. Hevo is fully automated and hence does not require you to code.
Get Started with Hevo for FreeCheck out some of the cool features of Hevo:
Completely Automated: The Hevo platform can be set up in just a few minutes and requires minimal Data Transfer: Hevo provides real-time data migration, so you can have analysis-ready data always. 100% Complete & Accurate Data Transfer: Hevo’s robust infrastructure ensures reliable data transfer with zero data alable Infrastructure: Hevo has in-built integrations for 100+ sources that can help you scale your data infrastructure as required. 24/7 Live Support: The Hevo team is available round the clock to extend exceptional support to you through chat, email, and support Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination Monitoring: Hevo allows you to monitor the data flow so you can check where your data is at a particular point in time.
Sign up here for a 14-Day Free Trial!
Top 8 Web Scraping Tools
Choosing the ideal Web Scraping Tool that perfectly meets your business requirements can be a challenging task, especially when there’s a large variety of Web Scraping Tools available in the market. To simplify your search, here is a comprehensive list of 8 Best Web Scraping Tools that you can choose from:
ParseHubScrapyOctoParseScraper Content GrabberCommon Crawl
ParseHub is an incredibly powerful and elegant tool that allows you to build web scrapers without having to write a single line of code. It is therefore as simple as simply selecting the data you need. ParseHub is targeted at pretty much anyone that wishes to play around with data. This could be anyone from analysts and data scientists to journalists.
Key Features of ParseHub
Clean Text and HTML before downloading to use graphical rseHub allows you to collect and store data on servers tomatic IP raping behind logic walls ovides Desktop Clients for Windows, Mac OS, is exported in JSON or Excel extract data from tables and maps.
ParseHub’s pricing structure looks like this:
Everyone: It is made available to the users free of cost. Allows 200 pages per run in 40 minutes. It supports up to 5 public projects with very limited support and data retention for 14 andard($149/month): You can get 200 pages in about 10 minutes with this plan, allowing you to scrap 10, 00 pages per run. With the Standard Plan, you can support 20 private projects backed by standard support with data retention of 14 days. Along with these features you also get IP rotation, scheduling, and the ability to store images and files in DropBox or Amazon ofessional($499/month): Scraping speed is faster than the Standard Plan(scrape up to 200 pages in 2 minutes) allowing you unlimited pages per run. You can run 120 private projects with priority support and data retention for 30 days plus the features offered in the Standard Plan. Enterprise(Open To Discussion): You can get in touch with the ParseHub team to lay down a customized plan for you based on your business needs, offering unlimited pages per run and dedicated scraping speeds across all the projects you choose to undertake on top of the features offered in the Professional Plan.
Troubleshooting is not easy for larger output can be very limiting at times(not being able to publish complete scraped output).
Scrapy is a Web Scraping library used by python developers to build scalable web crawlers. It is a complete web crawling framework that handles all the functionalities that make building web crawlers difficult such as proxy middleware, querying requests among many others.
Key Features of Scrapy
Open Source Tool. Extremely well Extensible. Portable ployment is simple and reliable. Middleware modules are available for the integration of useful tools.
It is an open-source tool that is free of cost and managed by Scrapinghub and other contributors.
OctoParse has a target audience similar to ParseHub, catering to people who want to scrape data without having to write a single line of code, while still having control over the full process with their highly intuitive user interface.
Key Features of OctoParse
Free: This plan offers unlimited pages per crawl, unlimited computers, 10, 00 records per export, and 2 concurrent local runs allowing you to build up to 10 crawlers for free with community support. Standard($75/month): This plan offers unlimited data export, 100 crawlers, scheduled extractions, Average speed extraction, auto IP rotation, task Templates, API access, and email support. This plan is mainly designed for small ofessional($209/month): This plan offers 250 crawlers, Scheduled extractions, 20 concurrent cloud extractions, High-speed extraction, Auto IP rotation, Task Templates, and Advanced API. Enterprise(Open to Discussion): All the pro features with scalable concurrent processors, multi-role access, and tailored onboarding are among the few features offered in the Enterprise Plan which is completely customized for your business needs.
OctoParse also offers Crawler Service and Data Service starting at $189 and $399 respectively.
If you run the crawler with local extraction instead of running it from the cloud, it halts automatically after 4 hours, which makes the process of recovering, saving and starting over with the next set of data very cumbersome.
4. Scraper API
Scraper API is designed for designers building web scrapers. It handles browsers, proxies, and CAPTCHAs which means that raw HTML from any website can be obtained through a simple API call.
Key Features of Scraper API
Helps you render to integrate. Geolocated Rotating Speed and reliability to build scalable web scrapers. Special pools of proxies for E-commerce price scraping, search engine scraping, social media scraping, etc.
Scraper API Pricing
Scraper API offers 1000 free API calls to start. Scraper API thereafter offers several lucrative price plans to pick from.
Hobby($29/month): This plan offers 10 Concurrent requests, 250, 000 API Calls, no Geotargeting, no JS Rendering, Standard Proxies, and reliable Email artup($99/month): The Startup Plan offers 25 Concurrent Requests, 1, 000, 000 API Calls, US Geotargeting, No JS Rendering, Standard Proxies, and Email ($249/month): The Business Plan of Scraper API offers 50 Concurrent Requests, 3, 000, 000 API Calls, All Geotargeting, JS Rendering, Residential Proxies, and Priority Email Support. Enterprise Custom(Open to Discussion): The Enterprise Custom Plan offers you an assortment of features tailored to your business needs with all the features offered in the other plans.
Scraper API as a Web Scraping Tool is not deemed suitable for browsing.
Mozenda caters to enterprises looking for a cloud-based self serve Web Scraping platform. Having scraped over 7 billion pages, Mozenda boasts enterprise customers all over the world.
Key Features of Mozenda
Offers point and click interface to create Web Scraping events in no quest blocking features and job sequencer to harvest web data in customer support and in-class account llection and publishing of data to preferred BI tools or databases ovide both phone and email support to all the scalable On-premise Hosting.
Mozenda’s pricing plan uses something called Processing Credits that distinguishes itself from other Web Scraping Tools. Processing Credits measures how much of Mozenda’s computing resources are used in various customer activities like page navigation, premium harvesting, image or file downloads.
Project: This is aimed at small projects with pretty low capacity requirements. It is designed for 1 user and it can build 10 web crawlers and accumulate up to 20k processing credits/month. Professional: This is offered as an entry-level business package that includes faster execution, professional support, and access to pipes and Mozenda’s apps. (35k processing credits/month)Corporate: This plan is tailored for medium to large-scale data intelligence projects handling large datasets and higher capacity requirements. ( 1 million processing credits/ month)Managed Services: This plan provides enterprise-level data extraction, monitoring, and processing. It stands out from the crowd with its dedicated capacity, prioritized robot support, and This is a secure self-hosted solution and is considered ideal for hedge funds, banks, or government and healthcare organizations who need to set up high privacy measures, comply with government and HIPAA regulations and protect their intranets containing private information.
Mozenda is a little pricey compared to the other Web Scraping Tools talked about so far with their lowest plan starting from $250/month.
is best recommended for platforms or services that are on the lookout for a completely developed web scraper and data supplier for content marketing, sharing, etc. The cost offered by the platform happens to be quite affordable for growing companies.
Key Features of
Content Indexing is fairly fast. A dedicated support team that is highly Integration with different to use APIs providing full control for language and source and intuitive interface design allowing you to perform all tasks in a much simpler and practical structured, machine-readable data sets in JSON and XML access to historical feeds dating as far back as 10 ovides access to a massive repository of data feeds without having to bother about paying extra advanced feature allows you to conduct granular analysis on datasets you want to feed.
The free version provides 1000 HTTP requests per month. Paid plans offer more features like more calls, power over the extracted data, and more benefits like image analytics, Geo-location, dark web monitoring, and up to 10 years of archived historical data.
The different plans are:-
Open Web Data Feeds: This plan incorporates Enterprise-level coverage, Real-Time Monitoring, Engagement Metrics like Social Signals and Virality Score along with clean JSON/XML Data Feed: The Cyber Data Feed plan provides the user with Real-Time Monitoring, Entity and Threat Recognition, Image Analytics and Geo-location along with access to TOR, ZeroNet, I2P, Telegram, etcArchived Web Data: This plan provides you with an archive of data dating back to 10 years, Sentiment and Entity Recognition, Engagement Metrics. This is a prepaid credit account pricing model.
The option for data retention of historical data was not available for a few were unable to change the plan within the web interface on their own, which required intervention from the sales team. Setup isn’t that simplified for non-developers.
7. Content Grabber
Content Grabber is a cloud-based Web Scraping Tool that helps businesses of all sizes with data extraction.
Key Features of Content Grabber
Web data extraction is faster compared to a lot of its you to build web apps with the dedicated API allowing you to execute web data directly from your can schedule it to scrape information from the web a wide variety of formats for the extracted data like CSV, JSON, etc.
Content Grabber Pricing
Two pricing models available for users of Content Grabber:-
Buying a licenseMonthly Subscription
For each you have three subcategories:-
Server($69/month, $449/year): This model comes equipped with a Limited Content Grabber Agent Editor allowing you to edit, run and debug agents. It also provides Scripting Support, Command-Line, and an API. Professional($149/month, $995/year): This model comes equipped with a Full-Featured Content Grabber Agent Editor allowing you to edit, run and debug agents. It also provides Scripting Support, Command-Line along with self-contained agents. However, this model does not provide an emium($299/month, $2495/year): This model comes equipped with a Full-Featured Content Grabber Agent Editor allowing you to edit, run and debug agents. It also provides Scripting Support, Command-Line along with self-contained agents and provides an API as well.
Prior knowledge of HTML and HTTP crawlers for previously scraped websites not available.
8. Common Crawl
Common Crawl was developed for anyone wishing to explore and analyze data and uncover meaningful insights from it.
Key Features of Common Crawl
Open Datasets of raw web page data and text pport for non-code based usage cases. Provides resources for educators teaching data analysis.
Common Crawl Pricing
Common Crawl allows any interested person to use this tool without having to worry about fees or any other complications. It is a registered non-profit platform that relies on donations to keep its operations smoothly running.
Support for live data isn’t pport for AJAX based sites isn’t data available in Common Crawl isn’t structured and can’t be filtered.
This blog first gave an idea about Web Scraping in general. It then listed the essential factors to keep in mind when making an informed decision about making a Web Scraping Tool purchase followed by a sneak peek at 8 of the best Web Scraping Tools in the market considering a string of factors. The main takeaway from this blog, therefore, is that in the end, a user should pick the Web Scraping Tools that suit their needs. Extracting complex data from a diverse set of data sources can be a challenging task and this is where Hevo saves the day!
Visit our Website to Explore HevoHevo, a No-code Data Pipeline helps you transfer data from a source of your choice in a fully automated and secure manner without having to write the code repeatedly. Hevo, with its secure integrations with 100+ sources & BI tools, allows you to export, load, transform, & enrich your data & make it analysis-ready in a jiffy.
Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. You can also have a look at the unbeatable pricing that will help you choose the right plan for your business needs.
No-code Data Pipeline For Your Data Warehouse
Frequently Asked Questions about website scraping company
Is it legal to scrape any website?
Web scraping and crawling aren’t illegal by themselves. … Web scraping started in a legal grey area where the use of bots to scrape a website was simply a nuisance. Not much could be done about the practice until in 2000 eBay filed a preliminary injunction against Bidder’s Edge.
Which website is best for web scraping?
Top 8 Web Scraping ToolsParseHub.Scrapy.OctoParse.Scraper API.Mozenda.Webhose.io.Content Grabber.Common Crawl.Feb 6, 2021
How much should I charge for scraping a website?
For example, the average hourly rates for web scraping jobs in Upwork ranges from $30 to $60 in the low end and around $100 in the high end. For longer or ongoing projects, this could quickly escalate costs.Apr 6, 2020