Web Scraping Software Market Size Growth Of $7.56 Billion by 2031 | Growing at 14.7% CAGR

QYResearch A newly published report titled "Global Web Scraping Software Market 2025 is carefully researched in the report while largely concentrating on top players and their business tactics, geographical expansion, market segments, competitive landscape, manufacturing, and pricing and cost structures. Each section of the research study is specially prepared to explore key aspects of the global Web Scraping Software market. For instance, the market dynamics section digs deep into the drivers, restraints, trends, and opportunities of the global Web Scraping Software market. With qualitative and quantitative analysis, we help you with thorough and comprehensive research on the global Web Scraping Software market. We have also focused on SWOT, PESTLE, and Porter's Five Forces analyses of the global Web Scraping Software market.

The global Web Scraping Software market is projected to grow from US$ 2.89 billion in 2024 to US$ 7.56 billion by 2031, at a CAGR of 14.7% (2025-2031), driven by critical product segments and diverse end‐use applications.

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Web scraping (also known as "data scraping") is a computer technology used to extract information from websites. It can automatically extract structured data from websites. It involves using automated programs or algorithms to extract detailed information such as text, images, tables, links, and other specified data from online pages. The process of web scraping is divided into four processes: request-response-parse-store or use. First, a request is sent to the website server, which returns the requested web page, and then the web scraping tool or script analyzes the web page content.

They can be programmed to locate and extract specific data from the web page, such as product prices, news articles, or contact information. The extracted data can be saved in a file or database for further analysis, or it can be used for various purposes, such as price comparison, research, or building a data set. Web scraping software is designed to browse websites, collect relevant page insights, and extract useful information. By automating and optimizing this process, the software can manage massive amounts of data. Compared with traditional data collection methods, data scraping can obtain data from multiple websites at once, saving time and effort.

Web scraping software is mainly divided into the following types: cloud-based software and on-premises software. Cloud-based is the most widely used type, accounting for about 88.58% of the global market in 2024. Major companies include HelpSystems, ParseHub, eGrabber, dexi.io and Import.io.

Featured Companies: -

Import.io
Mozenda
Diffbot
ParseHub
Apify
dexi.io
Grepsr
Fortra
eGrabber
Datahut
Diggernaut
3i Data Scraping
PromptCloud
ScrapingBee
GroupBWT
80legs
Lobstr
WebHarvy
Bright Data
Scrapy
WebSunDew
Outwit Hub
Webz.io
Data Miner
GooSeeker
LocoySpider
Houyicaiji
Skieer Information Technology (Shenzhen) Co.Ltd. (Bazhuayu/Octoparse/Octoparse.JP)

Companies are selected based on parameters such as: -

> Revenue generation
> Manufacturing facilities
> R&D investments
> Market share and innovation pipeline
> Geographical presence

Market Drivers:

Data Flood: In an age of data redundancy, traditional data sources such as surveys and market research are costly and time-consuming. Using web scraping is a faster and more economical way to access this vast pool of data.

The Rise of AI and Machine Learning: Scraped data is the primary driver of AI and machine learning. Algorithms trained by scraping product reviews can be personalized and predict customer preferences. Sentiment analysis of social media data can be used to develop marketing strategies and assess brand reputation. Web scraping provides endless possibilities for driving AI research.

Competitive Intelligence: In the competitive business world, information is power, and knowing your competitors' every move will give you an advantage. Web scraping opens a treasure trove of competitive intelligence. Track competitors' pricing strategies, monitor product launches, and analyze their marketing campaigns, all without leaving your desk. With this information, businesses can react quickly, adjust strategies, and stay ahead of the curve.

Social Governance: Web scraping is not just for litigation and algorithms. Researchers use it to analyze public data sets, track endangered species, and monitor deforestation. Journalists use it to conduct data-driven investigations and expose injustices. Activists can track government spending and hold authorities accountable. In these cases, web scraping becomes a tool for positive change, a democratic shovel to unearth valuable insights and improve society.

Corporate Strategic Decision Making: Companies use web scraping to gather important market information. Public websites can provide information such as competitor advertising strategies, product prices, and customer reviews, which can help understand current market conditions. Companies can use this real-time data to guide strategic decisions to stay ahead, effectively target consumers, and optimize pricing.

Price Monitoring: Online prices fluctuate wildly, and dynamic pricing models are becoming increasingly common. Web data scraping can automatically track competitor and industry prices, helping companies adjust pricing strategies in real time. This dynamic approach maximizes profits and ensures that companies remain competitive in the evolving digital market.

Academic Research: Researchers rely on massive data sets for in-depth analysis and hypothesis testing. Web data scraping helps collect massive amounts of data from public sources such as news articles, scientific publications, and social media platforms. This democratizes access to information, promotes collaboration, and accelerates scientific progress.

Personal Automation: People use web scraping technology for personal convenience. Extract weather forecasts, automate travel bookings, and track portfolios.

Market Challenges:

Website Outages: Large amounts of data scraping can overload website servers, impacting legitimate users.

Data Quality: Extracted data may be incomplete, inaccurate, or outdated. Be wary of biased data sources and verify the validity of scraped information.

Legal Issues: Copyright and intellectual property rights must be respected. Scraping data protected by these rights may be illegal.

Ethical Dilemmas: Consider the potential harm or manipulation of extracted data. Always use scraping ethically and responsibly.

Future Trends:

The demand for accurate and insightful data will continue to drive the development of web scraping. Advances in technologies such as artificial intelligence and cloud computing will further improve scraping technology and ensure data quality. However, addressing ethical issues and establishing a clear legal framework are essential for the sustainable and responsible use of this powerful tool.

Detailed of Web Scraping Software Market Segmentation: -

Segmentation By Type :-

Cloud-Based
On-Premises

Segmentation By Application : -

Data Analysis and Data Science
E-commerce and Retail
Finance and Investment
Marketing and SEO
Real Estate and Recruitment
Academic Research & Government and Public Relations
Other Business Services

Regional Insights -

United States

-Canada
-Mexico
-Brazil

APAC

-Japan
-South Korea
-China
-ASEAN
-India

EMEA

-Europe
-Middle East
-Africa

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Key Features Of The Study:-

ᗒ This report provides in-depth analysis of the global Web Scraping Software market, and provides market size (us$ million) and cagr for the forecast period (205-2031), considering 2023 as the base year.

ᗒ This report profiles key players in the global Web Scraping Software market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Web Scraping Software sales data, market share and ranking.

ᗒ This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.

ᗒ This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.

ᗒ The global Web Scraping Software market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.

Important questions answered in the report includes of:

ᗒ How will the market for the Web Scraping Software Market industry grow in 2025?

ᗒ Which well-known major companies will drive the market's growth?

ᗒ Which size of business held the biggest market share for data centre?

ᗒ What is the market's Compound Annual Growth Rate (CAGR) for the 2025-2031 forecast period?

ᗒ What is the primary factor driving the market's expansion?

ᗒ In the market, which region held the highest market share?

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ᗒ Unmatched Expertise: Backed by a global team of 20,000+ domain experts, including seasoned analysts and industry professionals with deep subject knowledge.

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