You can quickly implement eCommerce data scraping projects within a short period of time by following a few easy steps. Where you will see that our core focus is on data quality and speed of implementation.

We can fulfill your large scale data scraping requirements even on complex sites without any coding in the shortest time possible. We have ready-to-use eCommerce scraping recipes as a result of our vast experience in building large-scale web crawlers for multiple clients across different verticals, catering to various use cases, including, but not limited to:

1. Product Price Tracking
2. Product Demand Analysis
3. Product Trends
4. Sentiment Analysis
5. Seller Analysis
6. Competitor Monitoring

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.

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.

The web scraping tools market is experiencing robust growth, projected to reach $2831.7 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 14.4% from 2025 to 2033. This expansion is fueled by the increasing reliance on data-driven decision-making across diverse sectors. The surge in e-commerce, coupled with the growing need for real-time market intelligence and competitive analysis in advertising and media, finance, and other industries, significantly contributes to this market's rapid growth. Cloud-based solutions are leading the segmental growth due to their scalability, accessibility, and cost-effectiveness compared to on-premises solutions. While the retail and e-commerce sectors currently dominate application-wise, the expanding use of web scraping in financial analysis and advertising campaign optimization is expected to drive significant future growth across these segments. Challenges remain, however, including legal and ethical considerations surrounding data scraping, as well as the ongoing need for tools that effectively navigate increasingly sophisticated website anti-scraping measures. The market is characterized by a diverse range of players, from established software companies to specialized API providers, reflecting the increasing demand and sophistication of web scraping technologies. The geographical distribution of this market shows strong presence in North America and Europe, fueled by early adoption and robust technological infrastructure. However, rapid growth is anticipated in the Asia-Pacific region, particularly in countries like China and India, driven by burgeoning e-commerce markets and increasing digitalization across various industries. The competitive landscape is dynamic, with companies continually innovating to improve data extraction capabilities, enhance data processing speed, and offer advanced features like proxy rotation and data cleaning to mitigate risks and maximize efficiency. The ongoing development of advanced techniques to bypass website restrictions, coupled with the expanding applications of web scraping in areas such as sentiment analysis and market research, will continue to propel the market's growth trajectory throughout the forecast period.

En el presente proyecto, hemos creado un web crawler capaz de navegar por la web del supermercado Carrefour, extrayendo los datos de los diferentes productos que allí se exponen y sus atributos principales (precios, ofertas y promociones). Este ejercicio tiene como finalidad entender y poner en práctica los conceptos aprendidos en la asignatura de Tipología y Ciclo de Vida de los Datos, asignatura perteneciente al Máster en Ciencia de los Datos de la Universitat Oberta de Catalunya, para realizar un Web Scraping.

El dataset CarrefourDailyPricing está formado por una lista con los productos del supermercado Carrefour, guardando los datos más importantes como: la categoría del producto, su precio actual, precio por kilogramo, ofertas y promociones.

El dataset CarrefourDailyPricing contiene los siguientes atributos:

•Categoría: Sección del supermercado a la que pertenece un producto.

•Descripción: Nombre que tiene asociado elproducto en el supermercado.

•Precio: Precio de venta actual.

•Precio Medida: Unidad de medida (Kg/L/ud/..)

•Precio Previo: anterior a la oferta.

•Precio Oferta: Precio de venta durante la oferta.

•Promociones: Promociones activas para cada producto.

•Enlace: Enlace donde se puede encontrar el producto en cuestión.

La araña está programada para actualizar el dataset una vez al día, a las 8:00hrs, generando un csv nuevocogiendo los atributos ya mencionados.

Este conjunto de datos busca recoger diariamente información de interés sobre cada producto en el supermercado Carrefour. Durante la elaboración de este proyecto, no solo buscamos la extracción de datos, sino también poder llevar un registro donde comparar las subidas y bajadas de precios en un período de tiempo determinado. Por esa razón, hemos programado la araña para que recorra la web diariamente, y así poder remarcar los productos en oferta, cada cuánto tiempo ocurren y su evolución en el tiempo. También, serviría para estudiar el impacto que tienen sobre la economía las crisis como la que vivimos actualmente del covid.

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...

According to Cognitive Market Research, The Global Anti crawling Techniques market size is USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of 6.00% from 2023 to 2030.

North America Anti crawling Techniques held the major market of more than 40% of the global revenue and will grow at a compound annual growth rate (CAGR) of 4.2% from 2023 to 2030.
Europe Anti crawling Techniques accounted for a share of over 30% of the global market and are projected to expand at a compound annual growth rate (CAGR) of 4.5% from 2023 to 2030.
Asia Pacific Anti crawling Techniques held the market of more than 23% of the global revenue and will grow at a compound annual growth rate (CAGR) of 8.0% from 2023 to 2030.
South American Anti crawling Techniques market of more than 5% of the global revenue and will grow at a compound annual growth rate (CAGR) of 5.4% from 2023 to 2030.
Middle East and Africa Anti crawling Techniques held the major market of more than 2% of the global revenue and will grow at a compound annual growth rate (CAGR) of 5.7% from 2023 to 2030.
The market for anti-crawling techniques has grown dramatically as a result of the increasing number of data breaches and public awareness of the need to protect sensitive data. 
Demand for bot fingerprint databases remains higher in the anti crawling techniques market.
The content protection category held the highest anti crawling techniques market revenue share in 2023.

Increasing Demand for Protection and Security of Online Data to Provide Viable Market Output

The market for anti-crawling techniques is expanding due in large part to the growing requirement for online data security and protection. Due to an increase in digital activity, organizations are processing and storing enormous volumes of sensitive data online. Organizations are being forced to invest in strong anti-crawling techniques due to the growing threat of data breaches, illegal access, and web scraping occurrences. By protecting online data from harmful activity and guaranteeing its confidentiality and integrity, these technologies advance the industry. Moreover, the significance of protecting digital assets is increased by the widespread use of the Internet for e-commerce, financial transactions, and sensitive data transfers. Anti-crawling techniques are essential for reducing the hazards connected to online scraping, which is a tactic often used by hackers to obtain important data.

Increasing Incidence of Cyber Threats to Propel Market Growth

The growing prevalence of cyber risks, such as site scraping and data harvesting, is driving growth in the market for anti-crawling techniques. Organizations that rely significantly on digital platforms run a higher risk of having illicit data extracted. In order to safeguard sensitive data and preserve the integrity of digital assets, organizations have been forced to invest in sophisticated anti-crawling techniques that strengthen online defenses. Moreover, the market's growth is a reflection of growing awareness of cybersecurity issues and the need to put effective defenses in place against changing cyber threats. Moreover, cybersecurity is constantly challenged by the spread of advanced and automated crawling programs. The ever-changing threat landscape forces enterprises to implement anti-crawling techniques, which use a variety of tools like rate limitation, IP blocking, and CAPTCHAs to prevent fraudulent scraping efforts.

Market Restraints of the Anti crawling Techniques

Increasing Demand for Ethical Web Scraping to Restrict Market Growth

The growing desire for ethical web scraping presents a unique challenge to the anti-crawling techniques market. Ethical web scraping is the process of obtaining data from websites for lawful objectives, such as market research or data analysis, but without breaching the terms of service. Furthermore, the restraint arises because anti-crawling techniques must distinguish between criminal and ethical scraping operations, finding a balance between preventing websites from misuse and permitting authorized data harvest. This dynamic calls for more complex and adaptable anti-crawling techniques to distinguish between destructive and ethical scrapping actions.

Impact of COVID-19 on the Anti Crawling Techniques Market

The demand for online material has increased as a result of the COVID-19 pandemic, which has...

PromptCloud emerges as a pivotal player in the realm of AI and ML training, offering bespoke web data extraction services. Our expertise lies in delivering custom datasets specifically tailored for AI and ML applications, ensuring that businesses and researchers have access to the most relevant and high-quality data for their unique needs.

Our services extend beyond mere data collection. We provide a comprehensive suite of web data extraction solutions, ranging from scraping e-commerce sites for product data, prices, and customer reviews, to extracting complex datasets from a multitude of web sources. This is particularly crucial for training sophisticated AI and ML algorithms, where the quality and specificity of data can significantly influence the outcome.

In the rapidly evolving landscape of AI and ML, the need for custom-tailored data is paramount. PromptCloud recognizes this necessity and offers customizable web data solutions. Clients can specify their data requirements, including source websites, data collection frequencies, and specific data points, making our service highly adaptable to diverse industry needs.

Our web data extraction services are not only about quantity but also about the quality and reliability of the data provided. We ensure that every dataset undergoes a stringent verification process, guaranteeing accuracy and relevance. This commitment to quality makes PromptCloud an ideal partner for organizations venturing into AI and ML training, where data is not just a requirement but the foundation of innovation and success.

Leveraging our advanced technology and extensive experience, PromptCloud empowers AI and ML endeavors across various sectors, including e-commerce, market research, competitive intelligence, and beyond. Our service is designed to support your AI and ML projects from inception to completion, providing the critical data backbone needed to train intelligent systems and derive actionable insights.