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Price Scraping Detection Market Outlook

According to our latest research, the global price scraping detection market size in 2024 stands at USD 1.29 billion, reflecting the growing importance of data protection and competitive intelligence in the digital economy. The market is experiencing robust momentum, with a compound annual growth rate (CAGR) of 19.7% projected over the forecast period. By 2033, the market size is forecasted to reach USD 5.71 billion, driven by the accelerated adoption of e-commerce, increased sophistication of web scraping bots, and the rising need for real-time price monitoring and fraud prevention. As per our latest research, heightened awareness among enterprises regarding data privacy and the competitive risks posed by unauthorized scraping activities are the primary growth factors propelling this market forward.

A significant growth driver for the price scraping detection market is the explosive expansion of online commerce and digital marketplaces. As businesses increasingly move their operations online, the competitive landscape has intensified, making pricing strategies more dynamic and crucial than ever before. This has led to a surge in web scraping activities, where competitors and unauthorized third parties extract pricing data to gain unfair advantages or disrupt pricing models. Consequently, organizations are deploying advanced price scraping detection solutions to safeguard their proprietary pricing information, preserve brand integrity, and maintain customer trust. The proliferation of sophisticated scraping bots, capable of bypassing traditional security measures, has further underscored the necessity for robust detection technologies, fueling market demand.

Another pivotal factor stimulating market growth is the advancement in artificial intelligence (AI) and machine learning (ML) technologies. These technologies have enabled the development of highly effective price scraping detection tools that can identify, analyze, and mitigate scraping attempts in real time. AI-powered solutions offer adaptive learning capabilities, which means they can evolve alongside evolving scraping tactics, providing organizations with a proactive defense mechanism. Additionally, the integration of big data analytics allows businesses to monitor vast volumes of web traffic, detect anomalies, and respond to threats swiftly. As a result, enterprises across various sectors, including retail, travel, hospitality, and financial services, are increasingly investing in intelligent detection systems to secure their digital assets and maintain a competitive edge.

Regulatory compliance and data privacy concerns are also playing a critical role in shaping the price scraping detection market. With stringent regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) in place, organizations are under increasing pressure to protect customer data and prevent unauthorized access. Price scraping, if left unchecked, can lead to data breaches, legal liabilities, and reputational damage. Consequently, companies are prioritizing the implementation of detection solutions that not only protect pricing data but also ensure compliance with global data protection standards. This regulatory landscape is compelling businesses to adopt comprehensive security frameworks, thereby accelerating the growth of the price scraping detection market.

Regionally, North America continues to dominate the market, owing to its advanced technological infrastructure, high concentration of e-commerce giants, and early adoption of cybersecurity solutions. However, Asia Pacific is emerging as the fastest-growing region, propelled by rapid digitalization, expanding online retail, and increasing awareness of data security issues. Europe, with its strong regulatory environment and mature retail sector, also holds a significant share. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth as businesses in these regions recognize the strategic importance of protecting pricing data in the increasingly digital marketplace.

Web Scraping Tools Market Outlook

The global web scraping tools market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 14.5% during the forecast period. The growing demand for web scraping tools is primarily driven by the increasing need for data extraction and analysis across various industries. These tools have become essential in gathering competitive intelligence, monitoring prices, conducting market research, and generating leads, which are critical activities for businesses looking to maintain a competitive edge in a data-driven world.

One of the primary growth factors for the web scraping tools market is the exponential increase in data generation on the internet. With the proliferation of e-commerce, social media, and other online platforms, businesses need to collect vast amounts of data to analyze consumer behavior, market trends, and competitor strategies. Web scraping tools enable automated data extraction from various online sources, providing businesses with valuable insights that can inform decision-making and strategic planning. Moreover, advancements in machine learning and artificial intelligence have enhanced the capabilities of these tools, making them more efficient and accurate in extracting relevant data.

Another significant growth driver is the rising adoption of web scraping tools by small and medium enterprises (SMEs). These enterprises often lack the resources to conduct extensive market research or data analysis in-house. Web scraping tools offer a cost-effective solution for SMEs to gather critical business intelligence without substantial investment in manual data collection. Furthermore, the availability of cloud-based web scraping solutions has made these tools more accessible to SMEs, enabling them to leverage scalable and flexible data extraction capabilities without the need for significant infrastructure or technical expertise.

The increasing application of web scraping tools across various industry verticals is also contributing to market growth. Industries such as retail and e-commerce, banking, financial services, and insurance (BFSI), healthcare, media and entertainment, and information technology and telecommunications are leveraging these tools for various purposes. For instance, in the retail sector, web scraping tools are used for price monitoring and competitive analysis, while in the BFSI sector, they assist in fraud detection and risk management. The growing demand for these applications is expected to drive the adoption of web scraping tools across different industries.

Data Extraction Software plays a pivotal role in the web scraping ecosystem, providing the backbone for efficient data collection processes. These software solutions are designed to handle vast amounts of data from diverse online sources, ensuring that businesses can access the information they need for strategic decision-making. With the increasing complexity of data available on the internet, Data Extraction Software has evolved to include advanced features such as machine learning algorithms and artificial intelligence capabilities. These enhancements allow for more precise and accurate data extraction, enabling businesses to gain deeper insights into market trends and consumer behavior. As industries continue to rely on data-driven strategies, the demand for robust Data Extraction Software is expected to grow, further fueling the expansion of the web scraping tools market.

From a regional perspective, North America holds the largest market share for web scraping tools, driven by the high adoption of advanced technologies and a strong presence of key market players. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapid digital transformation and increasing internet penetration in countries like China and India. The growing number of start-ups and SMEs in the region is also contributing to the rising demand for web scraping tools. Europe and Latin America are also experiencing steady growth, driven by the increasing focus on data-driven decision-making and business intelligence.

Type Analysis

The web scraping tools market can be segmented by type into browser extensions, standalone software, cloud-based so

Web Scraper Software Market size was valued at USD 568.2 Million in 2024 and is projected to reach USD 1628.6 Million by 2032, growing at a CAGR of 14.1% from 2026 to 2032.Growing Demand for Data Driven Decision Making: The bedrock of the Web Scraper Software Market's growth is the escalating global demand for data driven decision making. Companies across industries, from startups to multinational corporations, are increasingly relying on vast volumes of meticulously collected and analyzed data to sculpt their strategic blueprints, optimize pricing models, enhance customer experiences, identify lucrative market entry points, and refine product development cycles.Expansion of E commerce and Digital Services: The relentless expansion of e commerce and digital services stands as a formidable catalyst for the Web Scraper Software Market. In a fiercely competitive online retail environment, granular competitive intelligence, dynamic price monitoring, accurate inventory tracking.

Web scraping is a tool for extracting information from the underlying HTML code of websites. ONS has been conducting research into these technologies and, since May 2014, has been scraping prices from the websites of three retailers. Last year, ONS released two updates that constructed experimental price indices from the data. In this release, we provide updates to the experimental indices, and an analysis of the different methods used to clean and classify the data.

Web Scraping Services Market is segmented By Type (Browser Extension, Installable Software, and Cloud Based) and Application (Data Aggregation, Customer Insight, and Others)

Dataset about the prices of the oil and its products with and without taxes across the years1.0

The global data scraping tools market is experiencing robust growth, projected to reach $2.802 billion in 2025, fueled by a compound annual growth rate (CAGR) of 29.1%. This expansion is driven by the increasing need for businesses to leverage large datasets for informed decision-making across various sectors. E-commerce companies rely heavily on web scraping for price comparison, competitor analysis, and market research. Similarly, investment analysts utilize these tools for gathering financial data and conducting market sentiment analysis. Marketing professionals employ data scraping for lead generation, social media monitoring, and customer behavior analysis. The market is segmented into "Pay-to-Use" and "Free-to-Use" models, with "Pay-to-Use" solutions expected to dominate due to their advanced features and scalability. Geographic growth is diverse, with North America currently holding a significant market share, followed by Europe and Asia Pacific. However, the Asia Pacific region is anticipated to witness faster growth due to increasing digitalization and e-commerce penetration. The market faces certain restraints, such as concerns over data privacy regulations and the increasing sophistication of website anti-scraping measures. However, continuous innovation in data scraping technologies, addressing these challenges, is likely to sustain the market's strong growth trajectory. The increasing adoption of cloud-based solutions and the rise of AI-powered scraping tools further contribute to the market's expansion. The competitive landscape includes both established players and emerging startups. Key players such as Scraper API, Octoparse, ParseHub, Scrapy, Diffbot, Cheerio, BeautifulSoup, Puppeteer, and Mozenda are constantly innovating to enhance the capabilities of their tools. The future of the data scraping tools market is promising, driven by the growing reliance on data-driven decision-making across industries and the continuing advancements in technology. This growth presents lucrative opportunities for both established and emerging players, encouraging further investments and innovation in this dynamic sector. The market’s future growth is dependent on factors such as technological advancements, regulatory compliance, and the evolving needs of various industry verticals.

The global web screen scraping tools market is experiencing robust growth, driven by the increasing need for businesses to extract valuable data from websites for various applications. The market size in 2025 is estimated at $3,877.7 million. While the exact CAGR isn't provided, considering the rapid advancements in data analytics and the expanding reliance on online data, a conservative estimate of the CAGR between 2025 and 2033 would be around 15%. This growth is fueled by the rising adoption of web scraping across diverse sectors, including e-commerce (for price comparison and competitor analysis), investment analysis (for market data acquisition), cryptocurrency (for tracking prices and market trends), and marketing (for lead generation and market research). The market is segmented by both pricing model (pay-to-use and free-to-use) and application, reflecting the diverse needs and budgets of users. Leading players such as Import.io, HelpSystems, and Scrapinghub are driving innovation and competition, pushing the boundaries of scraping capabilities and user experience. The market is geographically diverse, with strong growth anticipated in North America, Europe, and Asia Pacific, fueled by the high concentration of tech-savvy businesses and data-driven decision-making cultures in these regions. Future growth will be influenced by factors such as increasing data regulations, advancements in AI-powered scraping tools, and evolving website structures that require sophisticated techniques for data extraction. The continued expansion of e-commerce, financial technology, and marketing automation will further propel the demand for effective and efficient web scraping tools in the coming years. The free-to-use segment offers entry points for smaller businesses and individuals, while the pay-to-use segment caters to larger enterprises requiring more advanced features and scalability. Regional differences reflect the varying levels of digital maturity and technological adoption across different economies. North America, with its established tech sector and strong investment in data analytics, is likely to maintain a significant market share. However, Asia-Pacific is poised for rapid growth, driven by the burgeoning e-commerce sector and increasing adoption of data-driven strategies in developing economies. The market will see ongoing innovation in areas such as machine learning integration to improve data accuracy and efficiency, as well as enhanced security features to address concerns around ethical scraping and compliance.

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Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

Web Screen Scraping Tools Market Outlook

The global web screen scraping tools market size is projected to grow from USD 737.2 million in 2023 to approximately USD 1,896.4 million by 2032, at a compound annual growth rate (CAGR) of 11.0% during the forecast period. This substantial market growth can be attributed to the increasing importance of data analytics, the exponential growth of e-commerce, and the rising need for competitive intelligence across various industries. Organizations are increasingly leveraging web scraping tools to extract large volumes of data from websites, which are then used to make data-driven decisions, optimize operations, and enhance customer experience.

One of the primary growth factors for the web screen scraping tools market is the rising importance of data in driving business strategies. As the digital landscape becomes more complex, businesses are generating and consuming vast amounts of data. Web scraping tools enable organizations to efficiently gather, process, and analyze web data, which is critical for market research, competitive analysis, and strategic planning. The ability to extract real-time data from multiple sources provides companies with actionable insights that can lead to more informed decision-making and a competitive edge in the market.

Another significant factor propelling the growth of the web screen scraping tools market is the growth of e-commerce. E-commerce platforms and online marketplaces are rich sources of product information, pricing data, customer reviews, and other valuable insights. Retailers and brands utilize web scraping tools to monitor and analyze competitor pricing, track inventory levels, and understand consumer behavior. This data is essential for optimizing pricing strategies, improving product offerings, and enhancing the overall customer experience. As e-commerce continues to expand globally, the demand for web scraping tools is expected to rise correspondingly.

Furthermore, the need for automated data extraction processes is also contributing to market growth. Manual data collection methods are time-consuming, prone to errors, and inefficient. Web scraping tools offer a more efficient and reliable solution by automating the data collection process. These tools can handle large volumes of data, operate at high speeds, and ensure accuracy and consistency. The automation of data extraction processes not only saves time and resources but also enables businesses to focus on higher-value activities such as data analysis and strategy development.

Regionally, North America holds a significant share of the web screen scraping tools market, driven by the presence of major technology companies, high internet penetration, and a strong emphasis on data-driven decision-making. Europe is also a key market, with increasing adoption of web scraping tools in sectors such as retail, finance, and healthcare. The Asia Pacific region is expected to witness the highest growth rate due to the rapid digital transformation, the growth of the e-commerce sector, and the increasing focus on data analytics. Latin America and the Middle East & Africa are also anticipated to show steady growth, supported by the expanding internet infrastructure and growing awareness of the benefits of data-driven strategies.

Type Analysis

The web screen scraping tools market can be segmented by type into browser extension, standalone software, and cloud-based solutions. Browser extensions are popular due to their ease of use and accessibility. These tools integrate directly with web browsers, allowing users to scrape data from websites without requiring any additional software installation. Browser extensions are particularly useful for small-scale scraping tasks and are favored by individual users and small businesses. However, their functionality may be limited compared to more robust solutions.

Standalone software offers more comprehensive features and greater flexibility. These tools are installed on a user's computer and can be customized to meet specific data extraction needs. Standalone software solutions typically support larger-scale scraping operations and can handle complex data structures. Businesses that require extensive data extraction capabilities often prefer standalone software due to its ability to automate and schedule scraping tasks, manage large datasets, and provide advanced data processing and analysis features.

The no-code web scraping tool market is experiencing robust growth, driven by the increasing demand for automated data extraction across diverse sectors. The market's expansion is fueled by several key factors. Firstly, the rise of e-commerce and the need for competitive pricing intelligence necessitates efficient data collection. Secondly, the travel and hospitality industries leverage web scraping for dynamic pricing and competitor analysis. Thirdly, academic research, finance, and human resources departments utilize these tools for large-scale data analysis and trend identification. The ease of use offered by no-code platforms democratizes web scraping, eliminating the need for coding expertise, and significantly accelerating the data acquisition process. This accessibility attracts a wider user base, contributing to market expansion. The market is segmented by application (e-commerce, travel & hospitality, academic research, finance, human resources, and others) and type (text-based, cloud-based, and API-based web scrapers). While the market is competitive, with numerous players offering varying functionalities and pricing models, the continued growth in data-driven decision-making across industries assures continued expansion. Cloud-based solutions are expected to dominate due to scalability and ease of access. Future growth hinges on the development of more sophisticated no-code platforms offering enhanced features such as AI-powered data cleaning and intelligent data analysis capabilities. Geographic regions like North America and Europe currently hold significant market share, but Asia-Pacific is poised for substantial growth due to increasing digital adoption and expanding e-commerce markets. The historical period (2019-2024) likely witnessed a moderate growth rate, setting the stage for the accelerated expansion projected for the forecast period (2025-2033). Assuming a conservative CAGR of 15% for the historical period, resulting in a 2024 market size of approximately $500 million, and applying a slightly higher CAGR of 20% for the forecast period, reflects the increasing adoption and sophistication of these tools. Factors such as stringent data privacy regulations and the increasing sophistication of anti-scraping measures present potential restraints, but innovative solutions are emerging to address these challenges, including ethical data sourcing and advanced proxy management features. The ongoing integration of AI and machine learning capabilities into no-code platforms is also expected to propel market growth, enabling more sophisticated data extraction and analysis with minimal user input.

The global web screen scraping tools market is experiencing robust growth, projected to reach $2831.7 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 4.6% from 2025 to 2033. This expansion is driven by the increasing need for businesses to automate data extraction from websites for various applications, including e-commerce price monitoring, market research, investment analysis, and cryptocurrency tracking. The rise of big data analytics and the demand for real-time insights further fuel this market's growth. Different segments within the market cater to specific user needs, including "pay-to-use" and "free-to-use" models, each with its own set of advantages and target audiences. The application-based segmentation highlights the diverse use cases, with e-commerce, investment analysis, and cryptocurrency applications leading the charge. The competitive landscape is dynamic, featuring a mix of established players like Import.io and Scrapinghub alongside emerging solutions. Geographic expansion is also a significant factor, with North America and Europe currently holding the largest market shares, but Asia-Pacific showing significant potential for future growth due to increasing internet penetration and digitalization initiatives. The market's continued growth is supported by ongoing technological advancements in web scraping tools, making them more efficient, user-friendly, and adaptable to evolving website structures. However, challenges remain, including legal and ethical considerations surrounding data scraping, as well as the need for continuous adaptation to counter anti-scraping measures implemented by websites. Furthermore, the increasing complexity of website architecture and the emergence of dynamic content can pose difficulties for scraping tools. To mitigate these challenges, vendors are continually innovating, incorporating features like intelligent handling of dynamic content, proxy rotation for IP management, and robust error handling capabilities. This continuous evolution ensures the long-term viability and growth of the web screen scraping tools market.

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Scraping Grader Market Outlook

The global market size for the Scraping Grader market was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.5 billion by 2032, growing at a CAGR of about 12.5% during the forecast period. This growth is primarily driven by the increasing need for accurate and timely data extraction across various industries.

One of the main growth factors for the Scraping Grader market is the escalating demand for data-driven decision-making in business operations. As industries grow more competitive, the need for real-time data extraction to inform strategic decisions has become imperative. This has led to an increased adoption of scraping and grading technologies that can efficiently process large volumes of data from various sources. Both large enterprises and SMEs are investing significantly in these technologies to stay ahead of the curve and maintain a competitive edge.

Another significant driver is the rise in digital transformation across industries. Companies are increasingly leveraging web scraping tools to gather critical market insights, conduct competitive analysis, and monitor pricing strategies. The exponential growth of e-commerce and online businesses has further augmented the demand for scraping graders, as these enterprises need to continuously analyze market trends, customer preferences, and competitor activities. The integration of advanced technologies like AI and machine learning into scraping solutions has enhanced their efficiency and accuracy, making them indispensable tools for modern businesses.

The expanding applications of scraping graders in diverse sectors such as BFSI, healthcare, and retail is also a noteworthy growth factor. In the financial sector, for instance, scraping graders are used for market analysis, monitoring stock prices, and collecting financial news. Similarly, in healthcare, these tools help in gathering patient data, tracking pharmaceutical prices, and monitoring market trends. Retailers use scraping graders for price monitoring, inventory management, and understanding customer behavior. This wide range of applications across multiple sectors is significantly boosting the demand for scraping grader solutions.

From a regional perspective, North America holds a dominant position in the Scraping Grader market due to the early adoption of advanced technologies and the presence of major market players in the region. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This can be attributed to the rapid digital transformation in countries like China and India, growing e-commerce activities, and increasing investments in data-driven technologies. Europe and Latin America are also expected to experience substantial growth, driven by the rising demand for efficient data extraction solutions and the growing awareness of the benefits of data-driven decision-making.

Component Analysis

The Scraping Grader market by component is segmented into software, hardware, and services. The software segment dominates the market, accounting for a significant share due to the increasing adoption of advanced scraping tools and solutions. These software solutions offer a wide range of functionalities, including data extraction, processing, and analysis, which are essential for businesses to make informed decisions. The integration of AI and machine learning algorithms in these software solutions has further enhanced their efficiency and accuracy, making them highly sought after in the market.

The hardware segment, although smaller in comparison to software, plays a crucial role in the overall functioning of scraping grader solutions. High-performance hardware is required to support the complex algorithms and large-scale data processing needs of modern scraping tools. With advancements in computing technology, the hardware segment is expected to grow steadily, driven by the need for more powerful and efficient systems to handle the increasing volumes of data.

The services segment encompasses a range of offerings, including consulting, implementation, training, and support services. These services are critical for the successful deployment and operation of scraping grader solutions. Consulting services help organizations identify the right tools and strategies for their specific needs, while implementation services ensure seamless integration with existing systems. Training and support services are essential for maximizing the benefits of these solutions by ensuring that users are well-versed in t

We automatically collect price information on various online products traded in major online shopping malls through web scraping, and provide product price data for approximately 120 items on a daily basis. This is designed to enable various analyses and policy applications, such as timely price trend analysis and price trend comparison. The data is provided in OPEN API format, and please refer to the document Statistics Korea_Online Collection Price Information_OPEN-API Usage Guide_v2.2. It consists of the 'Item List Inquiry' table, where you can search for the code and name information of all items, and the 'Price Information Inquiry' table, where you can check price information based on the item code and search date.

The Web Scraping Market is Segmented by Solution (Software, Services), Deployment Type (Cloud, On-Premise), End-User Industry (BFSI, Retail and E-Commerce, Real Estate, Manufacturing, Government, Healthcare, Advertising and Media, and More), Use Case (Data Scaping / ETL, Price and Competitive Monitoring, and More), and Geography.