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Global No Code Web Scraper Tool Market Strategic Research Report

Name: Global No Code Web Scraper Tool Market Strategic Research Report
Brand: Market Research Reports, Inc.
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Global No Code Web Scraper Tool Market Strategic Research Re…

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Strategic Research Report

Global No Code Web Scraper Tool Market

$9582025

6%CAGR

2032Forecast

Market Research Reports · Global

Market Research Reports Intelligence Series

By Type: Local Deployment, Cloud-based

By Application: E-commerce Retail, Brand Marketing, Finance, Other

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: Bright Data, Apify, Octoparse, Import.io, Browse AI, Dexi, Webscraper.io, Mozenda, ParseHub, Diffbot, Zyte, Oxylabs, PhantomBuster, Simplescraper, ScrapeStorm, WebAutomation.io, Data Miner, ProWebScraper, Kadoa

Region: Global

Formats: PDF, Excel, Word & PowerPoint

Base year: 2025 · forecast to 2032

Length: 132 pages

Market size 2025

$958

Million USD

Forecast CAGR

2025-2032

Forecast 2032

$1440.5

Projected

リージョン

Asia Pacific · Latin America · MEA · Europe · North America

概観

Scope of the Report

The global No Code Web Scraper Tool market size is predicted to grow from US$ 958 million in 2025 to US$ 1,442 million in 2032; it is expected to grow at a CAGR of 6.0% from 2026 to 2032.

To address the inefficiencies of manually copying web page data, the high skill barrier to programming, and the cumbersome data collection process, no-code web scraping tools emerged. Since the no-code concept propelled the development of web scraping tools in the early 21st century, the data collection field has seen significant growth. Currently, no-code web scraping tools encompass various types, including browser plugins, cloud platforms, and desktop software, and are widely used in market research, competitive intelligence, and academic research, significantly improving data collection efficiency and ease of use.

No-code web scraping tools are evolving from "data collection tools" to "intelligent data pipelines," with technology democratization and ecosystem integration becoming the core driving forces. Enterprises need to focus on three key areas: visual operation, intelligent anti-scraping, and ecosystem integration. By leveraging technology to unlock data value, capitalizing on policy dividends and market demands, they can achieve a leap from efficiency improvement to strategic innovation. Finding a balance between lowering barriers to entry and ensuring quality is crucial to unleashing the potential of no-code technology and propelling the wave of data democratization forward.

This report presents a comprehensive overview of the global No Code Web Scraper Tool market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

Local Deployment
Cloud-based

Segment by Technology

Browser Extended
AI Driven

Segment by Data Output

Structured Data Output
API Integration Output

Segment by Application

E-commerce Retail
Brand Marketing
Finance
Other

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global No Code Web Scraper Tool market:

Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
Distributors, channel partners and end users in E-commerce Retail, Brand Marketing, Finance evaluating demand and sourcing options
Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global No Code Web Scraper Tool Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports

Market size CAGR 6%

Regional growth momentum

Market share by segment

Key metrics

Base value

$958

2025

Forecast

$1440.5

2032

CAGR

2025–2032

リージョン

global

Key companies

Bright DataApifyOctoparseImport.ioBrowse AIDexiWebscraper.ioMozenda

Segments covered in this report

By Type

Local DeploymentCloud-based

By Application

E-commerce RetailBrand MarketingFinanceOther

Click a chapter to expand

01Executive Summary

02Industry Overview & Forecast

2.1.1 Market Definition and Scope
2.1.2 Market Size and Growth Forecast
2.1.3 Volume Analysis
2.1.4 Segment Outlook by Type
2.1.5 Segment Outlook by Application
2.1.6 Regional Outlook
2.1.7 Structural Developments Shaping the Forecast
2.1.8 Forecast Risks and Sensitivities

03Market Segmentation by Type

3.1 Market Segmentation by Type
3.1.1 Market by Type Overview
3.1.2 Local Deployment
3.1.3 Cloud-based
3.1.4 Volume Analysis

04Market Segmentation by Application

4.1 Market Segmentation by Application
4.1.1 Market by Application Overview
4.1.2 E-commerce Retail
4.1.3 Brand Marketing
4.1.4 Finance
4.1.5 Other
4.1.6 Volume Analysis

05Regional Market Forecast

Asia Pacific
North America
Europe
Middle East & Africa
Latin America

06Country-Level Market Forecast

6.1 Asia Pacific
6.1.1 China
6.1.2 Japan
6.1.3 Korea
6.1.4 Southeast Asia
6.1.5 India
6.1.6 Australia
6.1.7 Rest of Asia Pacific
6.2 North America
6.2.1 United States
6.2.2 Canada
6.2.3 Mexico
6.2.4 Rest of North America
6.3 Europe
6.3.1 Germany
6.3.2 France
6.3.3 UK
6.3.4 Italy
6.3.5 Russia
6.3.6 Rest of Europe
6.4 Middle East & Africa
6.4.1 Egypt
6.4.2 South Africa
6.4.3 Israel
6.4.4 Turkey
6.4.5 GCC Countries
6.4.6 Rest of Middle East & Africa
6.5 Latin America
6.5.1 Brazil
6.5.2 Rest of Latin America

07Growth Drivers & Inhibitors

7.1 Growth Drivers & Inhibitors
7.1.1 Section Overview
7.1.2 Growth Drivers
7.1.3 Growth Inhibitors
7.1.4 Driver and Inhibitor Impact Assessment
7.1.5 Analyst Perspective

08Key Company Profiles

8.1 Bright Data
8.1.1 Company Overview
8.1.2 Key Products & Segments
8.1.3 Financial Performance (2023–2025)
8.1.4 Business Strategy
8.1.5 SWOT Analysis
8.1.6 Strategic Implications (2026–2032)
8.2 Apify
8.2.1 Company Overview
8.2.2 Key Products & Segments
8.2.3 Financial Performance (2023–2025)
8.2.4 Business Strategy
8.2.5 SWOT Analysis
8.2.6 Strategic Implications (2026–2032)
8.3 Octoparse
8.3.1 Company Overview
8.3.2 Key Products & Segments
8.3.3 Financial Performance (2023–2025)
8.3.4 Business Strategy
8.3.5 SWOT Analysis
8.3.6 Strategic Implications (2026–2032)
8.4 Import.io
8.4.1 Company Overview
8.4.2 Key Products & Segments
8.4.3 Financial Performance (2023–2025)
8.4.4 Business Strategy
8.4.5 SWOT Analysis
8.4.6 Strategic Implications (2026–2032)
8.5 Browse AI
8.5.1 Company Overview
8.5.2 Key Products & Segments
8.5.3 Financial Performance (2023–2025)
8.5.4 Business Strategy
8.5.5 SWOT Analysis
8.5.6 Strategic Implications (2026–2032)
8.6 Dexi
8.6.1 Company Overview
8.6.2 Key Products & Segments
8.6.3 Financial Performance (2023–2025)
8.6.4 Business Strategy
8.6.5 SWOT Analysis
8.6.6 Strategic Implications (2026–2032)
8.7 Webscraper.io
8.7.1 Company Overview
8.7.2 Key Products & Segments
8.7.3 Financial Performance (2023–2025)
8.7.4 Business Strategy
8.7.5 SWOT Analysis
8.7.6 Strategic Implications (2026–2032)
8.8 Mozenda
8.8.1 Company Overview
8.8.2 Key Products & Segments
8.8.3 Financial Performance (2023–2025)
8.8.4 Business Strategy
8.8.5 SWOT Analysis
8.8.6 Strategic Implications (2026–2032)
8.9 ParseHub
8.9.1 Company Overview
8.9.2 Key Products & Segments
8.9.3 Financial Performance (2023–2025)
8.9.4 Business Strategy
8.9.5 SWOT Analysis
8.9.6 Strategic Implications (2026–2032)
8.10 Diffbot
8.10.1 Company Overview
8.10.2 Key Products & Segments
8.10.3 Financial Performance (2023–2025)
8.10.4 Business Strategy
8.10.5 SWOT Analysis
8.10.6 Strategic Implications (2026–2032)
8.11 Zyte
8.11.1 Company Overview
8.11.2 Key Products & Segments
8.11.3 Financial Performance (2023–2025)
8.11.4 Business Strategy
8.11.5 SWOT Analysis
8.11.6 Strategic Implications (2026–2032)
8.12 Oxylabs
8.12.1 Company Overview
8.12.2 Key Products & Segments
8.12.3 Financial Performance (2023–2025)
8.12.4 Business Strategy
8.12.5 SWOT Analysis
8.12.6 Strategic Implications (2026–2032)
8.13 PhantomBuster
8.13.1 Company Overview
8.13.2 Key Products & Segments
8.13.3 Financial Performance (2023–2025)
8.13.4 Business Strategy
8.13.5 SWOT Analysis
8.13.6 Strategic Implications (2026–2032)
8.14 Simplescraper
8.14.1 Company Overview
8.14.2 Key Products & Segments
8.14.3 Financial Performance (2023–2025)
8.14.4 Business Strategy
8.14.5 SWOT Analysis
8.14.6 Strategic Implications (2026–2032)
8.15 ScrapeStorm
8.15.1 Company Overview
8.15.2 Key Products & Segments
8.15.3 Financial Performance (2023–2025)
8.15.4 Business Strategy
8.15.5 SWOT Analysis
8.15.6 Strategic Implications (2026–2032)
8.16 WebAutomation.io
8.16.1 Company Overview
8.16.2 Key Products & Segments
8.16.3 Financial Performance (2023–2025)
8.16.4 Business Strategy
8.16.5 SWOT Analysis
8.16.6 Strategic Implications (2026–2032)
8.17 Data Miner
8.17.1 Company Overview
8.17.2 Key Products & Segments
8.17.3 Financial Performance (2023–2025)
8.17.4 Business Strategy
8.17.5 SWOT Analysis
8.17.6 Strategic Implications (2026–2032)
8.18 ProWebScraper
8.18.1 Company Overview
8.18.2 Key Products & Segments
8.18.3 Financial Performance (2023–2025)
8.18.4 Business Strategy
8.18.5 SWOT Analysis
8.18.6 Strategic Implications (2026–2032)
8.19 Kadoa
8.19.1 Company Overview
8.19.2 Key Products & Segments
8.19.3 Financial Performance (2023–2025)
8.19.4 Business Strategy
8.19.5 SWOT Analysis
8.19.6 Strategic Implications (2026–2032)

09Competitive Landscape

9.1 Competitive Landscape Overview
9.2 Competitive Intensity Assessment
9.3 Key Player Strategies & Positioning
9.4 Competitive Dynamics & Strategic Outlook
9.4.1 Emerging Competitive Threats
9.4.2 Consolidation vs. Fragmentation Outlook
9.4.3 Competitive Response Matrix
9.4.4 Strategic Recommendations, 2026–2032

10Porter's Five Forces Analysis

10.1 Threat of New Entrants
10.2 Bargaining Power of Buyers
10.3 Bargaining Power of Suppliers
10.4 Threat of Substitutes
10.5 Competitive Rivalry

11PESTLE Analysis

11.1 Political
11.2 Economic
11.3 Social and Demographic
11.4 Technological
11.5 Legal and Regulatory
11.6 Environmental
11.7 Strategic Implications of the PESTLE Assessment

12SWOT Analysis

13Future Trends & Outlook

13.1 Future Trends & Outlook
13.1.1 Trend Summary and Commercial Maturity Assessment
13.1.2 Technology and Innovation Trends
13.1.3 Long-Term Market Outlook
13.1.4 Investment & M&A Activity Outlook
13.1.5 Overall Outlook Assessment

Frequently asked questions

What is the current global No Code Web Scraper Tool market size?

The global No Code Web Scraper Tool market is estimated at US$ 958 million in 2025 (base year) and is projected to reach US$ 1.44 billion by 2032.

What growth rate is expected for the No Code Web Scraper Tool market through 2032?

The market is expected to grow at a CAGR of 6.0% from 2026 to 2032, expanding from US$ 958 million in 2025 to US$ 1.44 billion in 2032, roughly 1.5 times its base-year value.

How is No Code Web Scraper Tool defined?

How is the No Code Web Scraper Tool market segmented by type?

By type, the market is segmented into Local Deployment and Cloud-based.

What are the key applications of No Code Web Scraper Tool?

Key applications covered include E-commerce Retail, Brand Marketing, Finance and Other.

Which companies are profiled in the No Code Web Scraper Tool market report?

Key players profiled include Bright Data, Apify, Octoparse, Import.io, Browse AI, Dexi, Webscraper.io and Mozenda, among 19 companies covered in total.

What geographies does the No Code Web Scraper Tool market analysis include?

The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.

What are the key demand drivers for No Code Web Scraper Tool?

No-code web scraping tools are evolving from "data collection tools" to "intelligent data pipelines," with technology democratization and ecosystem integration becoming the core driving forces.

What are the main risks and barriers in the No Code Web Scraper Tool market?

To address the inefficiencies of manually copying web page data, the high skill barrier to programming, and the cumbersome data collection process, no-code web scraping tools emerged.

Who should buy the No Code Web Scraper Tool market report?

The report is intended for manufacturers and solution providers, distributors and end users in E-commerce Retail, Brand Marketing and Finance, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the No Code Web Scraper Tool market.

What license options are available for this report?

The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

Research Methodology

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Secondary Research & Data Aggregation

Systematic collection from 500+ verified sources including SEC filings, industry databases (Bloomberg, Statista, OECD), regulatory filings, trade publications, patent databases, and company annual reports. AI-assisted extraction identifies relevant data points across 10,000+ documents per report.

Market Sizing — Bottom-Up & Top-Down

Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.

Competitive Intelligence

Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

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