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

Skuuudle is built for enterprise and scalability. We scrape over 4.2 billion data points each month. Compliance and security are built-in, so you can ethically track any field, any website, any country, any language. Our proprietary price tracking system is built for accuracy, allowing us to guarantee 99.99% accuracy in our data. Product matching is the most challenging part of the process, and our exhaustive product matching service is the best in the industry. We can deliver in any format to your in-house system or the data can be accessed via a dashboard.

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.

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.

Altosight | AI Custom Web Scraping Data

✦ Altosight provides global web scraping data services with AI-powered technology that bypasses CAPTCHAs, blocking mechanisms, and handles dynamic content.

We extract data from marketplaces like Amazon, aggregators, e-commerce, and real estate websites, ensuring comprehensive and accurate results.

✦ Our solution offers free unlimited data points across any project, with no additional setup costs.

We deliver data through flexible methods such as API, CSV, JSON, and FTP, all at no extra charge.

― Key Use Cases ―

➤ Price Monitoring & Repricing Solutions

🔹 Automatic repricing, AI-driven repricing, and custom repricing rules 🔹 Receive price suggestions via API or CSV to stay competitive 🔹 Track competitors in real-time or at scheduled intervals

➤ E-commerce Optimization

🔹 Extract product prices, reviews, ratings, images, and trends 🔹 Identify trending products and enhance your e-commerce strategy 🔹 Build dropshipping tools or marketplace optimization platforms with our data

➤ Product Assortment Analysis

🔹 Extract the entire product catalog from competitor websites 🔹 Analyze product assortment to refine your own offerings and identify gaps 🔹 Understand competitor strategies and optimize your product lineup

➤ Marketplaces & Aggregators

🔹 Crawl entire product categories and track best-sellers 🔹 Monitor position changes across categories 🔹 Identify which eRetailers sell specific brands and which SKUs for better market analysis

➤ Business Website Data

🔹 Extract detailed company profiles, including financial statements, key personnel, industry reports, and market trends, enabling in-depth competitor and market analysis

🔹 Collect customer reviews and ratings from business websites to analyze brand sentiment and product performance, helping businesses refine their strategies

➤ Domain Name Data

🔹 Access comprehensive data, including domain registration details, ownership information, expiration dates, and contact information. Ideal for market research, brand monitoring, lead generation, and cybersecurity efforts

➤ Real Estate Data

🔹 Access property listings, prices, and availability 🔹 Analyze trends and opportunities for investment or sales strategies

― Data Collection & Quality ―

► Publicly Sourced Data: Altosight collects web scraping data from publicly available websites, online platforms, and industry-specific aggregators

► AI-Powered Scraping: Our technology handles dynamic content, JavaScript-heavy sites, and pagination, ensuring complete data extraction

► High Data Quality: We clean and structure unstructured data, ensuring it is reliable, accurate, and delivered in formats such as API, CSV, JSON, and more

► Industry Coverage: We serve industries including e-commerce, real estate, travel, finance, and more. Our solution supports use cases like market research, competitive analysis, and business intelligence

► Bulk Data Extraction: We support large-scale data extraction from multiple websites, allowing you to gather millions of data points across industries in a single project

► Scalable Infrastructure: Our platform is built to scale with your needs, allowing seamless extraction for projects of any size, from small pilot projects to ongoing, large-scale data extraction

― Why Choose Altosight? ―

✔ Unlimited Data Points: Altosight offers unlimited free attributes, meaning you can extract as many data points from a page as you need without extra charges

✔ Proprietary Anti-Blocking Technology: Altosight utilizes proprietary techniques to bypass blocking mechanisms, including CAPTCHAs, Cloudflare, and other obstacles. This ensures uninterrupted access to data, no matter how complex the target websites are

✔ Flexible Across Industries: Our crawlers easily adapt across industries, including e-commerce, real estate, finance, and more. We offer customized data solutions tailored to specific needs

✔ GDPR & CCPA Compliance: Your data is handled securely and ethically, ensuring compliance with GDPR, CCPA and other regulations

✔ No Setup or Infrastructure Costs: Start scraping without worrying about additional costs. We provide a hassle-free experience with fast project deployment

✔ Free Data Delivery Methods: Receive your data via API, CSV, JSON, or FTP at no extra charge. We ensure seamless integration with your systems

✔ Fast Support: Our team is always available via phone and email, resolving over 90% of support tickets within the same day

― Custom Projects & Real-Time Data ―

✦ Tailored Solutions: Every business has unique needs, which is why Altosight offers custom data projects. Contact us for a feasibility analysis, and we’ll design a solution that fits your goals

✦ Real-Time Data: Whether you need real-time data delivery or scheduled updates, we provide the flexibility to receive data when you need it. Track price changes, monitor product trends, or gather...

PromptCloud offers unparalleled data extraction services, enabling businesses to access real-time, comprehensive data from the global travel industry. Our Global Travel Data Dataset is a fundamental resource for companies aiming to understand and capitalize on travel market trends. It provides insights into airfare fluctuations, hotel pricing strategies, traveler preferences, and destination popularity. This dataset is invaluable for tracking industry movements, understanding customer sentiment, and staying ahead in the competitive travel sector.

We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

Beyond basic travel data, PromptCloud caters to a wide range of travel-related data needs, from airline databases to hotel aggregators. Our advanced web scraping services are fully customizable, allowing clients to choose their data sources, collection frequencies, and specific data points. This flexibility ensures that our data extraction solutions are perfectly tailored to each client's unique requirements. Our sophisticated data aggregation technology allows for efficient extraction from multiple travel sources, making it ideal for travel agencies, hoteliers, and market researchers.

Leveraging over a decade of experience in travel data extraction, PromptCloud stands as an authoritative source in the field. We ensure the highest data quality and reliability, with a rigorous verification process that underscores our commitment to accuracy and trustworthiness.

The global proxy server market is experiencing robust growth, driven by increasing demand for data privacy, enhanced online security, web scraping, and application testing. The market size in 2025 is estimated at $5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by the rising adoption of cloud-based services, the proliferation of mobile devices, and the growing concerns surrounding data breaches and IP masking for various business functions and individual privacy. The market is segmented by type (web-based and client-based) and application (large enterprises and SMEs). Web-based proxies are currently dominating the market due to their ease of use and accessibility, while the large enterprise segment accounts for a significant portion of overall revenue due to higher spending capacity and complex IT infrastructure requirements. Regional growth is expected to be geographically diverse, with North America and Europe leading the market initially, followed by a rapid increase in Asia-Pacific as digitalization and technological adoption accelerate across the region. Several factors contribute to the market's growth trajectory. Increased regulatory scrutiny regarding data privacy and online security mandates the adoption of proxy servers for compliance. The burgeoning need for sophisticated web scraping techniques for market research and price comparison necessitates robust proxy solutions. Moreover, the expansion of the testing and development sector relies heavily on the usage of proxy servers for load balancing and security testing. However, challenges exist, including concerns regarding security vulnerabilities, regulatory restrictions in specific regions, and the ongoing emergence of advanced anti-proxy technologies. The market will likely see further consolidation as companies focus on developing more sophisticated and secure proxy solutions to meet the evolving needs of their clientele. The future growth of this market is highly dependent on addressing these limitations and adapting to emerging technologies.

Our Airbnb data scraping solutions offer unparalleled access to extensive data from listings worldwide. In seconds, extract vital information such as host details, property addresses, location specifics, pricing, availability, star ratings, guest reviews, images, and more. This service is invaluable for those in the travel and tourism industry seeking a comprehensive understanding of market trends and customer preferences.

Use our scraped Airbnb data to: - Monitor Real-Time Market Changes: Stay updated with the latest price changes and listing details in your selected locations. - Forecast Pricing Trends: Predict future pricing for specific locations, enhancing your strategy for the upcoming tourist season. - Identify Market Trends: Discover emerging trends, gaining a competitive edge by adapting your pricing and offers accordingly. - Understand Customer Preferences: Dive deep into customer expectations concerning price ranges, property sizes, features, and local infrastructure. - Sentiment Analysis on Reviews: Employ sentiment analysis on reviews to pinpoint the most successful locations, understanding customer satisfaction at a deeper level. - Data-Driven Decision Making: Base your decisions on robust data when considering opening or exploring new spots, especially those away from mainstream destinations.

Our service ensures that you receive the most comprehensive and up-to-date information, in user-friendly formats, to support your business decisions and strategies in the dynamic world of travel and hospitality.

With a decade-long track record in data extraction, PromptCloud is your go-to partner for reliable, high-quality Airbnb data Our stringent data verification process ensures the highest level of data accuracy, offering you trustworthy insights for informed decision-making.

We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

PromptCloud offers cutting-edge data extraction services that empower businesses with real-time, actionable intelligence from the vast expanses of the online marketplace. We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

Our Amazon Best Seller Products Dataset is a key tool for businesses looking to understand and capitalize on market trends. It allows you to identify top-selling products and sellers, and track their performance across various categories and subcategories. This dataset is invaluable for competitive intelligence, monitoring trending products, and understanding customer sentiment. It also plays a crucial role in monitoring competitor prices and enhancing product inventory, ensuring that your business stays relevant and competitive.

Beyond Amazon, PromptCloud offers access to a diverse range of Ecommerce Product Data from various e-commerce websites. PromptCloud is a leading provider of advanced web scraping services, uniquely tailored to meet the dynamic needs of modern businesses. Our services are fully customizable, allowing clients to specify source websites, data collection frequencies, data points, and delivery mechanisms to fit their unique requirements​​. The data aggregation feature of our web crawler enables the extraction of data from multiple sources in a single stream, catering to a diverse range of ecommerce clients.

PromptCloud is a leading provider of advanced web scraping services, uniquely tailored to meet the dynamic needs of modern businesses. Our services are fully customizable, allowing clients to specify source websites, data collection frequencies, data points, and delivery mechanisms to fit their unique requirements​​. The data aggregation feature of our web crawler enables the extraction of data from multiple sources in a single stream, catering to a diverse range of clients, from news aggregators to job boards​​.

With over a decade of experience in extracting web data from any e-commerce website, PromptCloud stands as a seasoned veteran in the field. This extensive experience translates into high-quality, reliable data extraction, making PromptCloud your ideal product web data extraction partner. The reliability of our data is uncompromised, with a 100% verification process that ensures accuracy and trustworthiness.

What Makes Our Data Unique?

Inmuebles24’s Mexico Real Estate Listings Data offers an unparalleled level of detail and accuracy in the real estate sector. With over 100,000 meticulously curated property listings, this dataset is designed to provide users with the most comprehensive view of the Mexican real estate market. Each listing includes detailed metadata such as property type, location, pricing, and contact information, along with additional attributes like the number of bedrooms, bathrooms, and available amenities. Our data is enriched with precise geolocation coordinates, allowing for advanced spatial analysis and mapping applications.

Our dataset stands out for its up-to-date nature, with listings scraped and refreshed regularly to ensure that buyers and analysts always have access to the latest market trends. This dynamic approach to data curation means that users can trust the data for making informed decisions, whether they are monitoring market trends, conducting investment research, or developing real estate strategies.

How Is the Data Generally Sourced?

The data is sourced directly from Inmuebles24, one of Mexico's leading real estate marketplaces. We employ a robust web scraping infrastructure that captures the full breadth of listings available on the platform. Our scraping technology is designed to extract data efficiently, ensuring that we capture every relevant detail from the listings, including images, descriptions, pricing, and metadata. Each entry is validated and cleaned to remove any duplicates or outdated information, ensuring that the dataset is both comprehensive and reliable.

Primary Use-Cases and Verticals

This Data Product is particularly valuable across several key verticals:

Real Estate Investment Analysis: Investors can leverage this dataset to identify lucrative opportunities by analyzing property prices, location attributes, and market trends.

Market Research and Trends: Researchers can use the data to track the evolution of the real estate market in Mexico, identifying shifts in pricing, demand, and supply across various regions.

Property Development: Developers can assess the market landscape, understanding where new developments might meet the most demand based on the attributes and locations of current listings.

Urban Planning: Government and city planners can utilize the geolocation data to analyze urban sprawl, housing density, and other critical metrics for sustainable development.

Real Estate Marketing: Marketers and real estate agents can tailor their strategies based on detailed insights into the types of properties available, pricing trends, and consumer preferences.

How Does This Data Product Fit into Our Broader Data Offering?

This Mexico Real Estate Listings Data Product is part of our broader commitment to providing high-quality, actionable data across various sectors and geographies. Inmuebles24’s real estate data complements our extensive portfolio of data products that cater to industries such as financial services, marketing, and location-based services. By integrating this dataset with other data offerings, users can derive even deeper insights. For example, combining real estate data with consumer behavior data could unlock new dimensions of market research, enabling a more holistic approach to understanding market dynamics.

Our broader data offering is built around the principle of providing end-to-end data solutions that empower businesses to make data-driven decisions with confidence. Whether you’re a real estate investor, a market researcher, or a developer, our data products are designed to meet your needs with precision and reliability

Our USA Restaurant Data Product is a comprehensive dataset covering over 500,000 restaurants across the country. It includes essential details such as restaurant ratings, locations, delivery fees, and operating hours, all updated in real-time to ensure data freshness and relevance. This product offers a powerful tool for businesses across multiple verticals by providing reliable insights into the dining and food delivery landscape.

What Makes Our Data Unique? This dataset is distinguished by its depth, accuracy, and the breadth of data attributes it offers. Unlike other restaurant datasets that provide only basic details, our data covers every aspect critical to understanding consumer behavior and operational metrics in the restaurant industry. Each entry contains not only location and contact information but also real-time ratings, customer review counts, delivery fees, and opening and closing hours. These details make our data invaluable for businesses seeking an edge in market intelligence, competitive analysis, or logistics optimization.

Data Sourcing Our data is sourced through a combination of automated web scraping from top food delivery platforms, such as DoorDash, Uber Eats, Grubhub, Postmates, Seamless, and Caviar, among others. We capture and update data continuously to maintain relevance and quality, with adherence to compliance standards to protect privacy and ensure accuracy. Each data point is cross-verified against multiple sources to ensure consistency and reliability, making this dataset one of the most robust in the industry.

Primary Use-Cases and Verticals This Data Product serves a variety of industries and use cases, including but not limited to:

Food Delivery Platforms: Companies like DoorDash, Uber Eats, and Postmates can benefit from using this dataset to enhance their restaurant listings, improve search algorithms, and provide up-to-date options for users. Marketing and Advertising: Digital marketing agencies and food & beverage brands can leverage this data to target specific restaurant types, geographic areas, and audience preferences based on popular cuisines and price ratings. Consumer Insights and Analytics: Firms focused on consumer behavior analytics can derive insights on restaurant trends, consumer preferences, and peak operational hours, valuable for decision-making and forecasting. Logistics and Delivery Optimization: By analyzing delivery fees and open/close times, logistics companies can optimize their delivery routes, reduce wait times, and enhance the customer experience. Real Estate and Location-Based Planning: Real estate firms and city planners can use restaurant density, ratings, and other characteristics to identify promising locations for development or for mapping out consumer foot traffic in various neighborhoods. Fit with Our Broader Data Offering This USA Restaurant Data Product is a part of AutoScraping's extensive data portfolio, designed to support a range of business needs across multiple industries. Our broader offerings include data products tailored to e-commerce, retail, consumer sentiment, and geo-spatial analysis, all of which complement our restaurant data. For example, businesses can combine this dataset with our consumer sentiment analysis product to gauge customer satisfaction trends across different restaurant types or locations, providing a comprehensive understanding of the market.

Key Benefits of Our Data Product High Data Quality: Each entry in our dataset is validated to ensure high accuracy and completeness. Real-Time Updates: The data is continuously updated to reflect real-world changes, ensuring that our clients are always working with the latest information. Comprehensive Coverage: With over 500,000 restaurant entries, we cover a vast range of cuisines, price ratings, and service types, from high-end restaurants to fast-food outlets. Scalability: Whether your business requires a small sample for testing or a nationwide dataset, we offer scalable solutions that can adapt to your needs. Compliance and Privacy: Our data collection adheres to all relevant compliance standards, ensuring that privacy and data protection remain a top priority. Data Scale and Coverage With over half a million entries across the United States, our dataset is extensive and covers a wide range of restaurant types and delivery services, such as DoorDash, Uber Eats, Grubhub, Postmates, Seamless, and Caviar. Each entry includes:

Restaurant Name and Location: Comprehensive addresses to allow for geo-mapping and analysis. Ratings and Reviews: Real-time ratings and the number of customer reviews to measure popularity and quality. Price and Delivery Fees: Detailed information on pricing tiers and delivery fees, essential for market segmentation. Operating Hours: Open and close times, allowing for analysis of peak operational hours and consumer demand trends. Food Type and Cuisine: Categories such as Mexican, Italian, and more,...