Data Quality & Automation Are Key While Choosing Amazon Scraper
AIMLEAP Automation Works Startups | Digital | Innovation| Transformation
Data is already flowing like never before.
According to recent estimates, the quantity of data generated over the next three years (to 2024) will be greater than the total amount of data created during the previous 30.
Data is becoming increasingly diversified as well as boosting in volume. Businesses from all fields store and analyze data from many sources, such as machine data from industrial equipment, digital media, data from social networks, online transactions, financial analysis, genomics research, and, most crucially, eCommerce sites.
eCommerce is one of the most booming sectors in the world.
Retail eCommerce sales in 2021 amounted to be roughly 4.9 trillion US dollars globally. This value is expected to increase by 50% over the following four years, reaching around 7.4 trillion dollars by 2025.
There is huge growth potential in the eCommerce business today. The main advantage of having an online store right now is that it allows businesses to connect with potential customers. Either start your own website or sell on big sites like Amazon and eBay. Whatever you choose, you need to learn market growth tactics with the help of data.
Amazon is one of the most trusted platforms to scrape data from. One can collect information about trendy products, business competitors, prices of different products, etc. But the major challenge that holds new businesses from collecting Amazon data is inaccessibility to advanced technology or the right data scraping tool.
What Is The Right Data Scraping Technology?
If you go 20 years back, every business was surveying people door-to-door and collecting data for analysis and research. It was not just hectic, but expensive and time taking as well. But the time has changed and with the evolution of technology, it has become extremely facile to collect data from all over the world.
One of the best technologies to collect data from platforms like Amazon is an automated Amazon scraper. An AI-supported data scraper with rich features, friendly UI, and a smart mechanism can make the process of Amazon data scraping extremely easy and efficient. It brings automation to the process and frees up in-house resources to focus on core tasks.
The Right Data Scraper In The Market
Are you tired of finding the right Amazon scraping tool? Have you been spending time scrolling Google, but not able to find something that fits your needs? With increased dependency on data for various decisions and strategies in the eCommerce business, the demand for a reliable scraping tool has increased. There are plenty of Amazon scraper tools available in the market, but only a few scraping tools are trusted by the audience and these are –
1. Web Scraper
Web Scraper is a well-known data scraper used to scrape data from sites with multiple levels of navigation. With the simple point-and-click user interface of web scraper, even beginners can collect data proficiently. It promotes code-free data scraping which is not only convenient but time-saving also. Users can collect Amazon data in CSV, XLSX, and JSON formats as well as schedule scraping at their convenience using this Amazon scraper.
2. Beautiful soup
Beautiful Soup is a Python tool that allows you to parse HTML, XML, and other markup languages. To get the most out of it, all you need is a basic understanding of HTML. Using Beautiful Soup, you can finally export data to a CSV file. Beautiful Soup makes large-scale web scraping easy. It is a sophisticated approach that can be used to scrape Amazon pages on a wide scale.
API is a trusted company offering a wide range of pre-built data scrapers. The company empowers its data scrapers with AI and ML technology to scrape accurate data from big sites like Amazon. One can extract structured data from web sources evading all the anti-scraping measures using APISCRAPY’s enterprise-grade data scraping tools. They offer free open-source data scrapers that easily integrate with eCommerce business systems and deliver Amazon data according to their scalable needs.
ParseHub is a dynamic free web scraping tool. It’s powerful enough to make data extraction as simple as clicking on the info you want. It allows you to fetch data from thousands of web pages in minutes. It works well with AJAX, forms, dropdowns, and so on. Data can be accessed by users in formats like JSON, Excel, and API. ParseHub is intended for anyone who wants to experiment with Amazon data.
Mozenda is the cloud-based self-service Web Scraping software helping businesses of all sectors extract quality data. Mozenda is a highly scalable platform with customers all around the world. It has claimed to scrape over 7 billion pages. It provides a point-and-click interface for quickly creating Web Scraping events. It offers call and email assistance to all clients.
OctoParse is a similar data scraper to Parsehub catering to a wide number of individuals for their data needs. Without writing a single line of code, you can extract quality data from Amazon for research and analysis anonymously using OctoParse. With a highly intuitive and sophisticated UI, it makes data collection a completely hassle-free process. Along with that, the user has full control over the process.
7. Content Grabber
Content Grabber is a cloud-based web scraping tool that assists organizations of all kinds with their data extraction needs. It is a dynamic tool that speeds up data scraping process. It enables you to create web apps using a specific API that allows you to execute web data straight from your website. You may use it to automatically scrape information from Amazon. It provides a broad range of data extraction formats such as CSV, JSON, and others.
Tired of being restricted when web scraping? Another popular data extraction tool that you can use for effortless Amazon data scraping is ScrapingBee, which supports headless browsers and rotates proxies for you. Its big proxy pool allows you to bypass rate-limiting websites, reducing your chances of being blocked!
Important Points To Consider While Picking The Right Amazon Scraper
When you go to the market to buy your clothes and shoes, you check many things, from fitting to prices to quality, everything. So, why do you forget to check all these factors when you choose a data scraping tool? When choosing an Amazon scraper, you need to consider many factors, including the price of the Amazon scraping tool and the quality of data it delivers. It takes a lot for an Amazon data scraper to fall under the category of the best Amazon tools. So what makes an amazon scraper the best in the market? And more importantly, what should you look for to find the best Amazon scraper? Without any further ado, let’s check the points.
1. Quality Of Scraped Data
Statistics say poor data quality costs businesses up to 20% of their revenue.
The implication of poor data affects your business decisions negatively. And let’s face it, today’s business landscape demands accuracy in decisions and strategies. So, you need a way to fix the problem of inaccuracy and duplication in data. The data scraper you pick among the best Amazon tools should offer high-quality, well-filtered, duplication-free data for further analysis and research. The capability of an Amazon scraper in terms of quality filtering of data varies for different tools. Before finalizing a tool to be integrated with your business function, you should take the trial to check the quality of the outcome.
2. Quick Adaptation To Website Changes
In today’s age of highly demanding hyper-personalized customer experiences supplied by data, data scrapers play a vital role. However, fundamental data extraction algorithms fail due to their inability to respond to dynamic changes in the websites. The changes may be to the design, content, or the entire website.
Taking the example of Amazon, its product pages change frequently, in fact, some pages change their content almost daily. Due to these changes, many scraping tools fail to adapt, and users end up building another scraping tool to scrape these dynamic web pages. One solution to this problem is an AI-powered Amazon scraper that can adapt to dynamic web pages effectively. So, it is highly recommended to look for an adaptable Amazon scraping tool while selecting for your scraping project.
3. Highly Scalable Architecture
When we were young, we had tiny meals and as we grew, our eating habits changed and the size of the meals increased. This is the same case with an eCommerce business. When it’s young and in a growing phase, the data requirements are limited and increase gradually. The needs of companies with respect to scraping Amazon also differ a lot from other projects. So, one should pick an Amazon scraper that is highly scalable. It should be developed on an advanced platform to serve scaling data requirements.
The scalability of the tool ensures it can cater to projects of different sizes and as well as different types. Scalable architecture makes a place for a standard Amazon data scraping tool among the best Amazon tools.
4. Ability To Evade Anti-Scraping Measures
Amazon has been at the forefront of gathering, keeping, and analyzing massive amounts of data – whether it is customer data, product information, or merchant data. Since Amazon is one of the major eCommerce websites, many analysts and organizations rely on its data to generate actionable insights. As a result, Amazon’s policies and page structure prevent scraping. Because of its inherent interest in data security, Amazon has employed anti-scraping measures.
To avoid these, you must look for an Amazon scraper that holds the ability to bypass anti-scraping techniques like CAPTCHA, Honeytraps, and anti-scraping bots. The Amazon scraping tool must avoid being trapped in an endless loop while collecting Amazon data.
5. Pocket-Friendly Pricing Plans
Many new eCommerce businesses don’t take steps to scrape data because they are not sure how much a data scraper costs. They are still watching from afar, concerned about the enormous expenses. But let me tell you an amazing thing. Pre-built data scrapers cut your expenses to a great extent since you don’t need to create a tool every time you scrape a different Amazon page.
Typically, the plans for scraping tools are different as per the user. There is always a free trial version, followed by professional, business, and enterprise users, and accordingly the price increases. If you take APISCRAPY for example, the company offers a free Amazon scraper. It follows an output-based pricing model. So, when you find one of the best Amazon tools within your budget, always evaluate your requirements, duration for how long you need the tool, and features.
6. Automation Capabilities
The future of the business sector is shifting as a result of ongoing technological disruption.
Today, 67% of businesses use business process automation solutions to increase end-to-end visibility across multiple platforms.
For, enterprise scraping projects, they have a huge amount of data to be scraped from thousands of websites and this increases the need for the automated data scraping process. Manual scraping is not just tedious and leads to the unproductive task, but also causes a lot of errors and interruptions. To overcome this challenge, you should look for automation capabilities in an Amazon scraper. An Amazon scraping tool must-have features that can assist the user in scheduling scraping tasks, continuous scraping of large amounts of data, and classifying data based on the type of content and other factors.
7. Code-Free Data Extraction
For Amazon data collection, I’d never hire coders, since they are expensive and require an entire setup to work.
I saw a statistic by Forrester stating that by using low-code technologies, the average organization avoided employing two IT developers.
So, I can make significant savings by choosing a code-free data scraper. No, I can’t write code, but I have the option to pick a code-free Amazon scraper to extract relevant, high-quality data in a structured format. The best Amazon tools offer a code-less data scraping experience to the end-users. You must go for a data scraper that can reduce your need to write codes or hire experts to do the same.
8. Supports All Devices
It is obvious to have multiple devices in a business system. You can’t go for an Amazon scraper that specifically runs on a single device, be it Mac, Linux, or Windows. Select the Amazon scraping tool that supports all operating systems and you shall access your data across devices.
9. Quick Set-Up
When you choose an Amazon scraper, make sure it is easy to set up, use, maintain, and monitor. If a data scraper is complicated to set up, the service provider must provide you with the assistance of experts. They should do all the work associated with the setup of the data scraper.
10. Structured Data Delivery
Over 80% of today’s data is unstructured, which includes images, documents, charts, graphs, sensor data, emails, geographical data, and more. Only 32% of businesses can get concrete and quantifiable value from data, according to Accenture’s ‘Closing the Data Value Gap’ research.
Ensure that the Amazon scraper you prefer has the ability to deliver data in a machine-readable format. The Amazon scraping tool must make data available in many forms (JSON, CSV, and Excel) or API integration for data distribution. Formatted and structured data is easier to read, understand and manage by machines.
The best-informed will survive, and those who can use their data to make better, more educated decisions, adapt faster to the unexpected and unearth new possibilities will prosper. If you consider the above-mentioned points while choosing an Amazon scraper for your company, you will end up choosing the best. Innovate and transform the data scraping process in the business with the right Amazon scraping tool.
To reduce your hassle, we would like to recommend APISCRAPY for the most dynamic and best Amazon tools. They comprise all the essential factors that are discussed in this article. In addition, APISCRAPY has empowered its data scrapers with AI technology which means the user will get data with high flexibility, ease, and accuracy.
APISCRAPY’s well-researched, smart, cutting-edge free web crawler can efficiently handle all types of anti-scraping technologies. Thousands of web pages can be crawled for data collection using our data scraping tool without any interruption. It is intended to remove all the hurdles that appear during data collection to deliver a smoother user experience.
AIMLEAP Automation Practice
APISCRAPY is a scalable data scraping (web & app) and automation platform that converts any data into ready-to-use data API. The platform is capable to extract data from websites, process data, automate workflows and integrate ready to consume data into database or deliver data in any desired format. APISCRAPY practice provides capabilities that help create highly personalized digital experiences, products and services. Our RPA solutions help customers with insights from data for decision-making, improve operations efficiencies and reduce costs. To learn more, visit us www.apiscrapy.com
Mastering Real Estate Data – The Ultimate Guide to APISCRAPY’s Free Zillow Scraper GET A FREE QUOTE Expert Panel AIMLEAP Center Of Excellence AIMLEAP Automation Works Startups | Digital | Innovation| Transformation Author Jyothish AIMLEAP Automation Works Startups |...
10X Faster Web Data Extraction using AI Website Scraper Expert Panel AIMLEAP Center Of Excellence AIMLEAP Automation Works Startups | Digital | Innovation| Transformation Author Jyothish AIMLEAP Automation Works Startups | Digital | Innovation| Transformation GET A...
In the digital era, data is paramount, and the fusion of Artificial Intelligence (AI) with web scraping is reshaping how we extract, analyze, and leverage information from the vast expanse of the internet. As we step into 2023 and beyond, the collaboration between AI and web scraping promises a data revolution like no other….