Global Web Scraping Software Supply, Demand and Key Producers, 2026-2032
Description
The global Web Scraping Software market size is expected to reach $ 8657 million by 2032, rising at a market growth of 14.4% CAGR during the forecast period (2026-2032).
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.
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.
This report studies the global Web Scraping Software demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Web Scraping Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of Web Scraping Software that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Web Scraping Software total market, 2021-2032, (USD Million)
Global Web Scraping Software total market by region & country, CAGR, 2021-2032, (USD Million)
U.S. VS China: Web Scraping Software total market, key domestic companies, and share, (USD Million)
Global Web Scraping Software revenue by player, revenue and market share 2021-2026, (USD Million)
Global Web Scraping Software total market by Type, CAGR, 2021-2032, (USD Million)
Global Web Scraping Software total market by Application, CAGR, 2021-2032, (USD Million)
This report profiles major players in the global Web Scraping Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Import.io, Mozenda, Diffbot, ParseHub, Prowebscraper, Apify, dexi.io, Grepsr, Fortra, eGrabber, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the world Web Scraping Software market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global Web Scraping Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Web Scraping Software Market, Segmentation by Type:
Cloud-Based
On-Premises
Global Web Scraping Software Market, 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
Companies Profiled:
Import.io
Mozenda
Diffbot
ParseHub
Prowebscraper
Apify
dexi.io
Grepsr
Fortra
eGrabber
Datahut
Diggernaut
Helium Scraper
3i Data Scraping
PromptCloud
ScrapingBee
GroupBWT
80legs
Lobstr
ScraperAPI
WebHarvy
Bright Data
Web Scraper
Scrapy
WebSunDew
Outwit Hub
Webz.io
Data Miner
GooSeeker
LocoySpider
Houyicaiji
Skieer Information Technology (Shenzhen) Co., Ltd. (Bazhuayu/Octoparse/Octoparse.JP)
Key Questions Answered
1. How big is the global Web Scraping Software market?
2. What is the demand of the global Web Scraping Software market?
3. What is the year over year growth of the global Web Scraping Software market?
4. What is the total value of the global Web Scraping Software market?
5. Who are the Major Players in the global Web Scraping Software market?
6. What are the growth factors driving the market demand?
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.
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.
This report studies the global Web Scraping Software demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for Web Scraping Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of Web Scraping Software that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global Web Scraping Software total market, 2021-2032, (USD Million)
Global Web Scraping Software total market by region & country, CAGR, 2021-2032, (USD Million)
U.S. VS China: Web Scraping Software total market, key domestic companies, and share, (USD Million)
Global Web Scraping Software revenue by player, revenue and market share 2021-2026, (USD Million)
Global Web Scraping Software total market by Type, CAGR, 2021-2032, (USD Million)
Global Web Scraping Software total market by Application, CAGR, 2021-2032, (USD Million)
This report profiles major players in the global Web Scraping Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Import.io, Mozenda, Diffbot, ParseHub, Prowebscraper, Apify, dexi.io, Grepsr, Fortra, eGrabber, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the world Web Scraping Software market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global Web Scraping Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global Web Scraping Software Market, Segmentation by Type:
Cloud-Based
On-Premises
Global Web Scraping Software Market, 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
Companies Profiled:
Import.io
Mozenda
Diffbot
ParseHub
Prowebscraper
Apify
dexi.io
Grepsr
Fortra
eGrabber
Datahut
Diggernaut
Helium Scraper
3i Data Scraping
PromptCloud
ScrapingBee
GroupBWT
80legs
Lobstr
ScraperAPI
WebHarvy
Bright Data
Web Scraper
Scrapy
WebSunDew
Outwit Hub
Webz.io
Data Miner
GooSeeker
LocoySpider
Houyicaiji
Skieer Information Technology (Shenzhen) Co., Ltd. (Bazhuayu/Octoparse/Octoparse.JP)
Key Questions Answered
1. How big is the global Web Scraping Software market?
2. What is the demand of the global Web Scraping Software market?
3. What is the year over year growth of the global Web Scraping Software market?
4. What is the total value of the global Web Scraping Software market?
5. Who are the Major Players in the global Web Scraping Software market?
6. What are the growth factors driving the market demand?
Table of Contents
209 Pages
- 1 Supply Summary
- 2 Demand Summary
- 3 World Web Scraping Software Companies Competitive Analysis
- 4 United States VS China VS Rest of World (by Headquarter Location)
- 5 Market Analysis by Type
- 6 Market Analysis by Application
- 7 Company Profiles
- 8 Industry Chain Analysis
- 9 Research Findings and Conclusion
- 10 Appendix
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