The global AI-Powered Data Scraping Tools market size is predicted to grow from US$ 327 million in 2025 to US$ 757 million in 2031; it is expected to grow at a CAGR of 15.0% from 2025 to 2031.

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.

United States market for AI-Powered Data Scraping Tools is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI-Powered Data Scraping Tools is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI-Powered Data Scraping Tools is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI-Powered Data Scraping Tools players cover Browse AI, ScraperAPI, Octoparse, ScrapeStorm, Bardeen, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information) newest research report, the ?AI-Powered Data Scraping Tools Industry Forecast? looks at past sales and reviews total world AI-Powered Data Scraping Tools sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-Powered Data Scraping Tools sales for 2025 through 2031. With AI-Powered Data Scraping Tools sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-Powered Data Scraping Tools industry.

This Insight Report provides a comprehensive analysis of the global AI-Powered Data Scraping Tools landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI-Powered Data Scraping Tools portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms? unique position in an accelerating global AI-Powered Data Scraping Tools market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Powered Data Scraping Tools and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-Powered Data Scraping Tools.

This report presents a comprehensive overview, market shares, and growth opportunities of AI-Powered Data Scraping Tools market by product type, application, key players and key regions and countries.

Segmentation by Type:

    Static
    Dynamic

Segmentation by Application:

    Market Research
    Financial Analysis
    E-commerce Data Analysis
    Other

This report also splits the market by region:

    Americas
        United States
        Canada
        Mexico
        Brazil
    APAC
        China
        Japan
        Korea
        Southeast Asia
        India
        Australia
    Europe
        Germany
        France
        UK
        Italy
        Russia
    Middle East & Africa
        Egypt
        South Africa
        Israel
        Turkey
        GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the companys coverage, product portfolio, its market penetration.

    Browse AI
    ScraperAPI
    Octoparse
    ScrapeStorm
    Bardeen
    WebHarvy
    Diffbot
    Import.io
    ParseHub
    Kadoa