AI-Powered Web Scraping: How Does It Help Your Business?
AIMLEAP Automation Works Startups | Digital | Innovation| Transformation
Self-driven cars, robotics, and virtual assistants all sound futuristic, but this is how we are using AI on an everyday basis. AI is now a reality, and it is becoming a part of our lives. A growing number of companies started using AI-powered data scraping processes. AI-powered data extractors are built for collecting relevant data from online sources and later indexing and storing it in databases to use for different applications. With Artificial Intelligence, web scraping can be automated, customized, and accelerated within a business. The efficiency of AI-powered web scraping is significant compared to the usual scraping.
Manual data scraping on a large scale consumes more time and is not accurate sometimes. AI-powered tools, on the other hand, help in the collection of web data with high accuracy, scalability, and efficiency. They are being used by businesses, researchers, and analysts all around the world.
AI And Web Scraping – An Outstanding Unification
Today, over 35% of organizations use AI in some form and almost 85% of businesses consider investing in AI a strategic priority.
This innovative technology gives web scraping tools the ability to adapt and evolve and have the cognitive ability like humans. Many companies, universities, and institutions all around the world use AI for gathering the right information that can help them make investment decisions.
Businesses today are discovering new methods to innovate and expand as technology develops. So, for those who are planning to innovate in the field of big data, an AI-powered data scraper is the best data scraper. AI-supported data scraping tools are trained to collect massive amounts of data and make intelligent judgments while handling different types of data needs. Not just data scraping, they are the best companion in handling anti-bot technology employed by web platforms to prevent web scrapers.
AI-Supported Data Scraping Is Not Expensive!
If you think that AI-supported data scraping service or tool is expensive, then I’m afraid that’s not quite right. Companies are offering free website scrapers with the strength of AI and rich functionality. Overall, AI-powered web scraping not just helps businesses achieve high efficiency in the data collection process, but also aids in saving capital. AI capabilities are broadening the possibilities for organizations to manage their data scraping operations, and maintain data continuity.
Benefits Of AI-Powered Web Scraping For Businesses
There are a wide variety of tools that you can use to kick start your data scraping projects, but an AI-powered data scraper is the best technology that one can integrate with one’s business system to achieve high data accuracy and efficiency. AI has been majorly used by companies to deliver a reliable data scraping service to end-users. They also offer the best data scraper with the power of AI to customers in different business sectors. Now that we are familiar with AI web scraping, let’s see how it can be beneficial for businesses.
1. Increase In Data Extraction Speed
According to AI predictions, AI will boost the productivity of laborers and improve corporate efficiency by 67%.
AI-powered data scraper is the only technology that adapts to different web environments quickly and scrapes data with high efficiency. AI is an evolving technology making its place in the data scraping world. When users employ an AI-supported free website scraper for data scraping, they are better able to handle complicated websites and extract the data that is present deeper in the codes. Employees working on the project are more productive when they have the assistance of an AI-powered data scraper since the entire work is handled by the tool. From gathering real-time web data to structuring data to indexing data within hours, which may take weeks if done manually, a smart data scraper manages everything effectively.
2. Easily Handle Large Volume Of Data
Big scraping projects involve scraping relevant data from thousands of websites and it’s not just tedious but time taking too. If you want to handle a large volume of data for business purposes, taking the help of a data scraping service or a smart AI-powered data scraper is suggested. Users can collect a large volume of data from web sources in a structured format efficiently with an AI-powered data scraper.
95% of businesses say that being unable to manage unstructured data is a concern for them.
So, it’s better to take the help of AI technology to extract well-formatted and accurate data in large volumes.
3. Ready-To-Use Data
Rather than manually developing and managing the scrapers for collecting data from each new website, choose an AI-powered pre-built solution and streamline the data gathering process. The best, AI-powered data scraper will take care of everything, be it proxy pool management, data parsing maintenance, or handling anti-bot technologies. An AI-assisted tool handles all types of websites and saves users from the burden of data structuring, cleansing, and reduplication. One can collect well-structured, well-filtered, ready-to-use data instantly and make smarter decisions for the business.
Businesses may process data quicker and simplify operational procedures by utilizing an innovative AI-powered scraping service. A recent
PwC study on analytics automation discovered that even the most basic AI-based extraction approaches may save a company 30–40% of the time generally spent on such procedures.
Use a free website scraper empowered with AI and save your time to put into a more important business activity. Since it manages everything quite efficiently, the data is delivered continually to your data pipeline without wasting your time. Millions of web pages can be scraped and their data can be collected in minutes using advanced data scrapers.
Imagine creating your own data scrapers or writing codes for extracting data every time from a new website. Don’t you think it’s a time-consuming as well as a costly process? No matter how simple the data scraper is, you need expertise and technology to develop it. No matter how easy a code is to write, an expert coder is needed to complete the process every time you plan to scrape a website. Fortunately, you can have a pre-built AI-powered tool that can safely handle code-free data extraction.
According to the latest artificial intelligence facts and data, 44% of companies that use AI indicate a decrease in business costs in areas where AI is used (McKinsey, 2019).
AI in many ways helps a business achieve cost benefits. Implement the power of AI in your data extraction process, and see how you make big savings. AI mechanism empowers the tool to do everything from data collection to deduplication to management so that the end-user can get rid of the expense of hiring professionals for completion of every single task in order to get the data of their desired quality.
7. High scalability
It is believed that 90% of the data now available in this world has been created in the last ten years.
This means that businesses must have enough tools to manage and analyze this data in order to extract the most valuable and relevant information. From this vantage point, AI scalability must be understood. Deploy a high-performance AI-supported data scraper to your business that is scaling at a high speed. An AI-powered data scraper is highly scalable and keeps its usefulness intact regardless of the quantity of data. The scraper can increase its performance depending on your ever-changing data needs.
8. Quick Adaptation
AI is known for its capability of adapting quickly to diverse environments and need. When the technology empowers a data scraping tool, it becomes self-adaptive to changes in situations and environments and retains manageability regardless of the number of organizations that utilize it. Anyone who has tried to aggregate data for their changing data needs must know how difficult this can be. From data errors to missing fields and latency, many things are common when you collect web data manually. But now you have the opportunity to achieve data scraping agility and scalability by integrating artificial intelligence into your business’ data collection process, which, in turn, becomes faster.
9. Handle Anti-Scraping Technology
The never-ending battle between online scrapers and websites attempting to prevent them is continued even in 2022, with web scrapers typically remaining one step ahead. Websites have continued to improve their anti-bot capabilities. They are rapidly moving away from the basic header and IP fingerprinting to more complex browser technologies in order to distinguish automated scrapers from real users. However, no anti-bot technology has yet discovered the silver bullet that can eliminate an AI-powered data scraper since it uses the right combination of proxies, user agents, and browsers to scrape data from any website efficiently. It can easily bypass anti-scraping techniques like CAPTCHAs, IP restrictions, honeypot traps, and canvas fingerprinting quite effectively and prevent itself from getting blocked by anti-scraping systems.
10. Better Language Understanding
We as humans can understand, analyze, and interpret natural language, but machines don’t until they are built with this capability. English, French, German, and so on are all-natural languages, each having its own pattern. Therefore, AI is integrated with advanced tools to assist them to extract data in different languages as desired by the users. NLP is a subfield of AI that assists computers in understanding and interpreting language. AI technology makes it possible for a data scraper to feed data into software that can understand it in the same context that it was written.
11. Higher Accuracy
Poor data quality costs businesses up to 20% of their income.
So, accurate data is the basic need for businesses that rely on scraped data for important decision making, market research, competitor monitoring, audience sentiment analysis, and obtaining trend knowledge. So, introducing AI to data scraping is inevitable. AI web scraping is highly accurate in terms of extracting the desired data. Fewer errors imply fewer corrections and retractions, which ultimately lead to time-saving in the data collection process of your business. Speed and accuracy are the standout features of an AI-supported data scraper. Analysis and research also become precise when you have direct access to high-quality accurate data.
AI In Web Scraping For Different Business Sectors
The global AI software industry is expected to top $125 billion by the year 2025.
There are many business sectors that are embracing and adopting AI technology in different ways and data scraping is one of them. AI web scraping is helping businesses to achieve agility, accuracy, and scalability in data processing. Here is the list of a few sectors that are choosing AI web scraping due to its ultimate benefits –
In recent years, e-commerce has emerged as a critical part of the global retail structure. E-commerce like many other businesses has experienced significant alteration since the advancement of the internet.
Its sales in 2021 amounted to 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.
With growth comes challenges, and one such challenge is large-scale data collection. To track and analyze the prices of products across different websites, data is collected by all e-commerce businesses using AI-supported tools.
How Does AI Technology Help E-Commerce Companies In Web Scraping?
AI technology has made it a lot easier and more efficient to collect data from e-commerce stores. Analysis of data on a big scale helps ensure that all the products are getting sold at a satisfactory rate. E-commerce companies choose web scraping service providers that use the best data scraper powered by AI to deliver quality data. Effective implementations of AI-supported data scrapers in e-commerce data scraping game has its own benefits including high data precision, scraping speed, and convenience.
The travel industry is a major service industry in the world that is
projected to reach US$637.70bn in 2022.
This demands constant innovation, market analysis, and research since customers’ wants and tastes change all the time. As a result businesses in the travel industry require a large amount of data from many sources to collect insights and suggestions so that they can boost their travel and tourism activities. With the help of big data, travel businesses are better able to grow because quality data makes it easy to track the prices of hotel rooms, lounges, flights, and other specifics.
How does AI Technology Help Travel Companies In Web Scraping?
Web Scraping helps travel businesses collect as well as classify customer reviews for identifying problems and demands. One of the most popularly adopted data collection methods in Travel businesses is AI web scraping. They are benefiting by integrating AI with their data collection system. AI-powered web scraping services or tools are chosen by travel businesses to access quality data with high efficiency and scalability. They also leverage paid and free website scrapers to support their data scraping process. Not just publicly available, AI-powered data scrapers assist travel businesses in aggregating data that has been kept confidential by travel sites.
With the continuous delivery of quality data in the business data pipeline, finance businesses are better able to identify market shifts and monitor national and worldwide trends that may have an impact on equities and the economy. They can make smart and success-driven investment decisions. Web scraping is heavily used in the finance industry for investment strategy development, equity research, regulations and policy change tracking, market sentiment analysis, customer behavior understanding, and the list is endless. Leveraging big data, businesses in the finance sector assess the current state of the financial market.
How Does AI Technology Help Finance Companies In Web Scraping?
AI-powered web scraping service or tool is the ultimate choice of finance businesses when it comes to collecting high-quality data in large quantities with a higher speed. Financial institutions use AI web scraping for other purposes. For instance, if they need to build an app or software for finance-related services, they extract data using the best data scraper powered by AI technology and blend all the data from different sources into a single platform.
4. Real Estate
Real estate, one of the most competitive businesses today, has begun to recognize the value of data-driven decision-making. With data, they can track property prices to estimate the value of other houses and obtain a competitive advantage. A better understanding of the market helps a real estate business earn targeted sales in any geographical location. To be lucrative, one must not only understand the current market but also forecast how it will perform in the near future. The influence of big data is inevitable on the real estate industry.
How does AI Technology Help Real-Estate Companies In Web Scraping?
Leveraging AI-supported tools, real estate businesses can obtain quality data in large quantities without any difficulty. A free website scraper with rich features and integrated AI technology can help the user easily collect information from different real-estate APIs. One can monitor competitors, analyze current market prices, collect extensive agent information, get insight into buyer and seller demands, and so on. Using this data, the real estate businesses can see where the market is now and where it is trending.
With the improvement of big data analytics and AI algorithms in everyday life, contemporary business today makes no sacrifices in utilizing them for their benefit. Not just in the aforementioned industries, AI-supported data scraping is widely used in other industries too. Healthcare, entertainment, IT, and all other types of companies are interested in investigating the possibilities of data-driven operations for a lucrative and successful business.
Popular Use Cases Of AI Web Scraping In Businesses
The internet has a massive collection of data that can be used by businesses, researchers, analysts, and other institutions for their own good. Unfortunately, the data is not readily available in a desirable format. Most websites do not allow you to store the data they display on your local storage or your own website. One possible solution for this dilemma is AI-supported web scraping. By using a free website scraper powered by AI technology, businesses can collect a large amount of data and use it for multiple purposes in order to obtain success in their industry. A pre-built AI-supported data scraper is programmed to support the speedy collection of high-quality data on a large scale so that it could be used for –
- Collecting huge amounts of data for machine learning algorithms
- Building recruitment strategy to find the best talent
- Monitoring brand reputation
- Achieving competitive advantage
- Doing market research before launching a product
- Strategizing business marketing and advertising
- Identifying counterfeiting, copyright infringement, patent theft, and trademark infringement.
- Generating leads
- Monitoring the sentiments of the audience
- Researching SEO Audit & Keywords
- Making the development of strategies for website transition
Specifically in all business sectors, AI web scraping is done heavily for the successful implementation of strategies. It offers unlimited advantages from large-scale data collection to safe data integration to data cleaning.
With all the businesses going online now, there is a huge requirement for big data.
It is stated that the “digital cosmos” hit 40 trillion gigabytes (40 zettabytes) of information in 2020.
So, for collecting this much data, you’d need an AI-supported, best data scraper. No don’t worry, neither they are costly, nor make data scraping a complicated task. In fact, companies are offering free website scrapers to assist you in your data scraping game. They are easy to use, functionally rich, and highly advanced.
One of the most trusted web scraping service providers businesses are choosing for their data scraping needs is ApiScrapy. The company has data scraping engineers having rich experience in delivering quality data on large scale. Not just services, ApiScrapy offers pre-built and custom, AI-supported data scrapers to customers having complex data needs. Ensuring diverse requirements in mind, the company is offering self-adaptive data scrapers to the customers. If you are interested in knowing more about ApiScrapy, visit its official website and grow your business with its AI-powered web scraping service.
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
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