

The global AI-Powered Data Scraping Tools market size was valued at US$ 304 million in 2024 and is forecast to a readjusted size of USD 761 million by 2031 with a CAGR of 14.2% during review period.
AI-powered data scraping tools are tools that use artificial intelligence technologies (such as machine learning, natural language processing, etc.) to automatically extract data from web pages, databases, or other data sources. These tools can efficiently collect, organize, and analyze large amounts of data by simulating the browsing and operation behaviors of human users, thereby helping users quickly obtain the information they need.
This report is a detailed and comprehensive analysis for global AI-Powered Data Scraping Tools market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI-Powered Data Scraping Tools market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI-Powered Data Scraping Tools market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI-Powered Data Scraping Tools market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI-Powered Data Scraping Tools market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI-Powered Data Scraping Tools
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI-Powered Data Scraping Tools 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 Browse AI, ScraperAPI, Octoparse, ScrapeStorm, Bardeen, WebHarvy, Diffbot, Import.io, ParseHub, Kadoa, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI-Powered Data Scraping Tools market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Static
Dynamic
Market segment by Application
Market Research
Financial Analysis
E-commerce Data Analysis
Other
Market segment by players, this report covers
Browse AI
ScraperAPI
Octoparse
ScrapeStorm
Bardeen
WebHarvy
Diffbot
Import.io
ParseHub
Kadoa
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI-Powered Data Scraping Tools product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI-Powered Data Scraping Tools, with revenue, gross margin, and global market share of AI-Powered Data Scraping Tools from 2020 to 2025.
Chapter 3, the AI-Powered Data Scraping Tools competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI-Powered Data Scraping Tools market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI-Powered Data Scraping Tools.
Chapter 13, to describe AI-Powered Data Scraping Tools research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope
1.2 Market Estimation Caveats and Base Year
1.3 Classification of AI-Powered Data Scraping Tools by Type
1.3.1 Overview: Global AI-Powered Data Scraping Tools Market Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global AI-Powered Data Scraping Tools Consumption Value Market Share by Type in 2024
1.3.3 Static
1.3.4 Dynamic
1.4 Global AI-Powered Data Scraping Tools Market by Application
1.4.1 Overview: Global AI-Powered Data Scraping Tools Market Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Market Research
1.4.3 Financial Analysis
1.4.4 E-commerce Data Analysis
1.4.5 Other
1.5 Global AI-Powered Data Scraping Tools Market Size & Forecast
1.6 Global AI-Powered Data Scraping Tools Market Size and Forecast by Region
1.6.1 Global AI-Powered Data Scraping Tools Market Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global AI-Powered Data Scraping Tools Market Size by Region, (2020-2031)
1.6.3 North America AI-Powered Data Scraping Tools Market Size and Prospect (2020-2031)
1.6.4 Europe AI-Powered Data Scraping Tools Market Size and Prospect (2020-2031)
1.6.5 Asia-Pacific AI-Powered Data Scraping Tools Market Size and Prospect (2020-2031)
1.6.6 South America AI-Powered Data Scraping Tools Market Size and Prospect (2020-2031)
1.6.7 Middle East & Africa AI-Powered Data Scraping Tools Market Size and Prospect (2020-2031)
2 Company Profiles
2.1 Browse AI
2.1.1 Browse AI Details
2.1.2 Browse AI Major Business
2.1.3 Browse AI AI-Powered Data Scraping Tools Product and Solutions
2.1.4 Browse AI AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.1.5 Browse AI Recent Developments and Future Plans
2.2 ScraperAPI
2.2.1 ScraperAPI Details
2.2.2 ScraperAPI Major Business
2.2.3 ScraperAPI AI-Powered Data Scraping Tools Product and Solutions
2.2.4 ScraperAPI AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.2.5 ScraperAPI Recent Developments and Future Plans
2.3 Octoparse
2.3.1 Octoparse Details
2.3.2 Octoparse Major Business
2.3.3 Octoparse AI-Powered Data Scraping Tools Product and Solutions
2.3.4 Octoparse AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.3.5 Octoparse Recent Developments and Future Plans
2.4 ScrapeStorm
2.4.1 ScrapeStorm Details
2.4.2 ScrapeStorm Major Business
2.4.3 ScrapeStorm AI-Powered Data Scraping Tools Product and Solutions
2.4.4 ScrapeStorm AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.4.5 ScrapeStorm Recent Developments and Future Plans
2.5 Bardeen
2.5.1 Bardeen Details
2.5.2 Bardeen Major Business
2.5.3 Bardeen AI-Powered Data Scraping Tools Product and Solutions
2.5.4 Bardeen AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.5.5 Bardeen Recent Developments and Future Plans
2.6 WebHarvy
2.6.1 WebHarvy Details
2.6.2 WebHarvy Major Business
2.6.3 WebHarvy AI-Powered Data Scraping Tools Product and Solutions
2.6.4 WebHarvy AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.6.5 WebHarvy Recent Developments and Future Plans
2.7 Diffbot
2.7.1 Diffbot Details
2.7.2 Diffbot Major Business
2.7.3 Diffbot AI-Powered Data Scraping Tools Product and Solutions
2.7.4 Diffbot AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.7.5 Diffbot Recent Developments and Future Plans
2.8 Import.io
2.8.1 Import.io Details
2.8.2 Import.io Major Business
2.8.3 Import.io AI-Powered Data Scraping Tools Product and Solutions
2.8.4 Import.io AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.8.5 Import.io Recent Developments and Future Plans
2.9 ParseHub
2.9.1 ParseHub Details
2.9.2 ParseHub Major Business
2.9.3 ParseHub AI-Powered Data Scraping Tools Product and Solutions
2.9.4 ParseHub AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.9.5 ParseHub Recent Developments and Future Plans
2.10 Kadoa
2.10.1 Kadoa Details
2.10.2 Kadoa Major Business
2.10.3 Kadoa AI-Powered Data Scraping Tools Product and Solutions
2.10.4 Kadoa AI-Powered Data Scraping Tools Revenue, Gross Margin and Market Share (2020-2025)
2.10.5 Kadoa Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global AI-Powered Data Scraping Tools Revenue and Share by Players (2020-2025)
3.2 Market Share Analysis (2024)
3.2.1 Market Share of AI-Powered Data Scraping Tools by Company Revenue
3.2.2 Top 3 AI-Powered Data Scraping Tools Players Market Share in 2024
3.2.3 Top 6 AI-Powered Data Scraping Tools Players Market Share in 2024
3.3 AI-Powered Data Scraping Tools Market: Overall Company Footprint Analysis
3.3.1 AI-Powered Data Scraping Tools Market: Region Footprint
3.3.2 AI-Powered Data Scraping Tools Market: Company Product Type Footprint
3.3.3 AI-Powered Data Scraping Tools Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global AI-Powered Data Scraping Tools Consumption Value and Market Share by Type (2020-2025)
4.2 Global AI-Powered Data Scraping Tools Market Forecast by Type (2026-2031)
5 Market Size Segment by Application
5.1 Global AI-Powered Data Scraping Tools Consumption Value Market Share by Application (2020-2025)
5.2 Global AI-Powered Data Scraping Tools Market Forecast by Application (2026-2031)
6 North America
6.1 North America AI-Powered Data Scraping Tools Consumption Value by Type (2020-2031)
6.2 North America AI-Powered Data Scraping Tools Market Size by Application (2020-2031)
6.3 North America AI-Powered Data Scraping Tools Market Size by Country
6.3.1 North America AI-Powered Data Scraping Tools Consumption Value by Country (2020-2031)
6.3.2 United States AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
6.3.3 Canada AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
6.3.4 Mexico AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
7 Europe
7.1 Europe AI-Powered Data Scraping Tools Consumption Value by Type (2020-2031)
7.2 Europe AI-Powered Data Scraping Tools Consumption Value by Application (2020-2031)
7.3 Europe AI-Powered Data Scraping Tools Market Size by Country
7.3.1 Europe AI-Powered Data Scraping Tools Consumption Value by Country (2020-2031)
7.3.2 Germany AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
7.3.3 France AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
7.3.4 United Kingdom AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
7.3.5 Russia AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
7.3.6 Italy AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific AI-Powered Data Scraping Tools Consumption Value by Type (2020-2031)
8.2 Asia-Pacific AI-Powered Data Scraping Tools Consumption Value by Application (2020-2031)
8.3 Asia-Pacific AI-Powered Data Scraping Tools Market Size by Region
8.3.1 Asia-Pacific AI-Powered Data Scraping Tools Consumption Value by Region (2020-2031)
8.3.2 China AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
8.3.3 Japan AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
8.3.4 South Korea AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
8.3.5 India AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
8.3.6 Southeast Asia AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
8.3.7 Australia AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
9 South America
9.1 South America AI-Powered Data Scraping Tools Consumption Value by Type (2020-2031)
9.2 South America AI-Powered Data Scraping Tools Consumption Value by Application (2020-2031)
9.3 South America AI-Powered Data Scraping Tools Market Size by Country
9.3.1 South America AI-Powered Data Scraping Tools Consumption Value by Country (2020-2031)
9.3.2 Brazil AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
9.3.3 Argentina AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa AI-Powered Data Scraping Tools Consumption Value by Type (2020-2031)
10.2 Middle East & Africa AI-Powered Data Scraping Tools Consumption Value by Application (2020-2031)
10.3 Middle East & Africa AI-Powered Data Scraping Tools Market Size by Country
10.3.1 Middle East & Africa AI-Powered Data Scraping Tools Consumption Value by Country (2020-2031)
10.3.2 Turkey AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
10.3.3 Saudi Arabia AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
10.3.4 UAE AI-Powered Data Scraping Tools Market Size and Forecast (2020-2031)
11 Market Dynamics
11.1 AI-Powered Data Scraping Tools Market Drivers
11.2 AI-Powered Data Scraping Tools Market Restraints
11.3 AI-Powered Data Scraping Tools Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 AI-Powered Data Scraping Tools Industry Chain
12.2 AI-Powered Data Scraping Tools Upstream Analysis
12.3 AI-Powered Data Scraping Tools Midstream Analysis
12.4 AI-Powered Data Scraping Tools Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Browse AI
ScraperAPI
Octoparse
ScrapeStorm
Bardeen
WebHarvy
Diffbot
Import.io
ParseHub
Kadoa
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*If Applicable.