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The global data scraping tools market is booming, projected to hit $2.8 billion in 2025, with a CAGR of 29.1%. Discover key trends, leading companies (Scraper API, Octoparse, etc.), and regional insights in this comprehensive market analysis. Learn how e-commerce, investment, and marketing benefit from data scraping.

APISCRAPY specializes in Ecommerce data, offering a comprehensive solution for gathering Ecommerce market data, Ecommerce product data, and Ecommerce datasets. APISCRAPY is your go-to resource for making informed decisions in the Ecommerce landscape.

Explore the booming No Code Web Scraper Tool market, projected to reach $1.5 billion by 2025 with a 22% CAGR. Discover key drivers, emerging trends, and regional growth for e-commerce, travel, finance, and more.

Discover the booming market for data scraping tools! This comprehensive analysis reveals a $2789.5 million market in 2025, growing at a 27.8% CAGR. Explore key trends, regional insights, and leading companies shaping this dynamic sector. Learn how to leverage data scraping for your business.

Discover the booming web screen scraping tools market! This in-depth analysis reveals a $2831.7M market in 2025, projected to grow at a 4.6% CAGR through 2033. Explore key drivers, trends, regional breakdowns, and top companies shaping this dynamic industry. Learn how data extraction is revolutionizing e-commerce, finance, and more.

Discover the booming no-code web scraping tool market! This comprehensive analysis reveals market size, growth trends, key players, and regional insights from 2019-2033. Learn how no-code platforms are revolutionizing data extraction across e-commerce, finance, and more.

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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.

Asos E-Commerce Dataset - 30,845 products, text classification dataset

Using web scraping, we collected information on over 30,845 clothing items from the Asos website. The dataset can be applied in E-commerce analytics in the fashion industry. The dataset is similar to SheIn E-Commerce Dataset.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset

Dataset Info

For each item, we extracted:

• url - link to the item on the website
• name - item's name
• size - sizes available on the website
• category - product's category
• price - item's price
• color - item's color
• SKU - unique identifier of the item
• date - date of web scraping; for all items - March 11, 2023
• description - additional description, including product's brand, composition, and care instructions, in JSON format
• images - photographs from the item description

🧩 This is just an example of the data. Leave a request here to learn more

🚀 You can learn more about our high-quality unique datasets here

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Discover the ultimate web scraping tool of 2024 for unlocking valuable insights. Effortlessly extract web data for ecommerce, real estate, and beyond. Harness the power of web scraping to drive informed decision-making and gain a competitive edge.

Discover the booming web scraping tools market! This in-depth analysis reveals a 15% CAGR, key players like Octoparse and Scrapy, and future trends shaping this $3226.7 million market (2025). Learn about market drivers, restraints, and regional breakdowns to gain a competitive edge.

Discover the booming web screen scraping tools market! This in-depth analysis reveals a $3.88 billion market in 2025, projected to grow at a significant CAGR, driven by e-commerce, finance, and marketing needs. Explore key trends, regional insights, and leading companies shaping this dynamic sector.

We have built a data collection engine that allows us to collect publicly available data from the Internet at scale, just like real users at home. This powerful human emulation, coupled with unique patent pending hardware and networking innovations, enables us to collect information from any website or native application without fail.

Bungee API and Custom Intelligence Data Collection & Extraction

Discover the booming data scraping service market! This comprehensive analysis reveals key trends, growth drivers, and regional insights for 2025-2033, highlighting leading companies and lucrative segments like e-commerce and finance. Learn about market size, CAGR, and future forecasts for web scraping and mobile app scraping.

The global data scraping tools market, valued at $15.57 billion in 2025, is experiencing robust growth. While the provided CAGR is missing, a reasonable estimate, considering the expanding need for data-driven decision-making across various sectors and the increasing sophistication of web scraping techniques, would be between 15-20% annually. This strong growth is driven by the proliferation of e-commerce platforms generating vast amounts of data, the rising adoption of data analytics and business intelligence tools, and the increasing demand for market research and competitive analysis. Businesses leverage these tools to extract valuable insights from websites, enabling efficient price monitoring, lead generation, market trend analysis, and customer sentiment monitoring. The market segmentation shows a significant preference for "Pay to Use" tools reflecting the need for reliable, scalable, and often legally compliant solutions. The application segments highlight the high demand across diverse industries, notably e-commerce, investment analysis, and marketing analysis, driving the overall market expansion. Challenges include ongoing legal complexities related to web scraping, the constant evolution of website structures requiring adaptation of scraping tools, and the need for robust data cleaning and processing capabilities post-scraping. Looking forward, the market is expected to witness continued growth fueled by advancements in artificial intelligence and machine learning, enabling more intelligent and efficient scraping. The integration of data scraping tools with existing business intelligence platforms and the development of user-friendly, no-code/low-code scraping solutions will further boost adoption. The increasing adoption of cloud-based scraping services will also contribute to market growth, offering scalability and accessibility. However, the market will also need to address ongoing concerns about ethical scraping practices, data privacy regulations, and the potential for misuse of scraped data. The anticipated growth trajectory, based on the estimated CAGR, points to a significant expansion in market size over the forecast period (2025-2033), making it an attractive sector for both established players and new entrants.

This dataset contains product listings from the Health and Wellness sector of the Lazada e-commerce platform as of August 2023. It encapsulates details about the product, its sales metrics, and the shop's geographical location. It provides a glimpse into consumer preferences, product popularity, and market trends in the health domain.

Content:

The dataset comprises the following columns:

• Id: A unique identifier assigned to each product.
• Section: Categorizes the health product into specific sectors like 'Acne Care', 'Vitamins', etc. (Example provided, actual categories may vary).
• Name: Descriptive name or title of the product.
• Price: Price at which the product is listed on Lazada in local currency .
• Total Sold: Cumulative count of the product units sold.
• Total Reviews: Total number of customer reviews the product has accumulated.
• Shop Location: Geographical location or city where the shop is based.

Acknowledgments:

This dataset was scraped from the Lazada platform in August 2023. All rights belong to their respective owners. This dataset is meant for educational and research purposes.

License:

We can scrape all the publicly available data from Lazada, like product name, description, brand, sold by, categories, images, price, condition reviews, product URL, shipping information, etc. With this data, you can analyze the market and trending products to know which products are popular and loved by the buyers.

source https://www.octoparse.com/blog/scrape-lazada-product-data Official terms: https://www.lazada.com.ph/terms-conditions/

image by Image by pikisuperstar on Freepik edited with canva

SheIn Fashion 109,00 Products Dataset

Using web scraping, we collected information on over 109,000 clothing items from the SheIn website. The dataset can be applied in E-commerce analytics in the fashion industry. The similar dataset is Asos E-Commerce Dataset.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset

Dataset Info

For each item, we extracted:

• url - link to the item on the website
• name - item name
• date - date of web scraping; for all items - March 11, 2023
• SKU - unique identifier of the item
• price - item price
• size - sizes available on the website
• brand - item brand
• description - additional description, including available colors, composition, and care instructions, in JSON format
• images - photographs from the item description

🧩 This is just an example of the data. Leave a request here to learn more

🚀 You can learn more about our high-quality unique datasets here

keywords: web scraping dataset, dataset marketplace, web scraping data, e-commerce dataset, e-commerce marketplace, e-commerce marketplace scraping dataset, e-commerce sales dataset, ecommerce clothing site, e-commerce text dataset, e-commerce product dataset, shein scraping dataset, shein dataset