Table of Contents
Chapter 1. Global Web Scraper Software Market Executive Summary
1.1. Global Web Scraper Software Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Product Type
1.3.2. By Application
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion
Chapter 2. Global Web Scraper Software Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer's Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global Web Scraper Software Market Dynamics
3.1. Market Drivers
3.1.1. Growing adoption of web scraper software
3.1.2. Increased demand from e-commerce sector
3.2. Market Challenges
3.2.1. High competition and free software offerings
3.2.2. Reluctance of SMEs to invest in paid tools
3.3. Market Opportunities
3.3.1. Expansion in the healthcare sector
3.3.2. Rise in business intelligence and lead generation needs
Chapter 4. Global Web Scraper Software Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model
4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global Web Scraper Software Market Size & Forecasts by Product Type 2022-2032
5.1. Segment Dashboard
5.2. Global Web Scraper Software Market: Product Type Revenue Trend Analysis, 2022 & 2032 (USD Million)
5.2.1. General Purpose Web Crawlers
5.2.2. Focused Web Crawlers
5.2.3. Incremental Web Crawlers
5.2.4. Deep Web Crawlers
Chapter 6. Global Web Scraper Software Market Size & Forecasts by Application 2022-2032
6.1. Segment Dashboard
6.2. Global Web Scraper Software Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Million)
6.2.1. Financial Enterprise
6.2.2. Advertising Company
6.2.3. Others
Chapter 7. Global Web Scraper Software Market Size & Forecasts by Region 2022-2032
7.1. North America Web Scraper Software Market
7.1.1. U.S. Web Scraper Software Market
7.1.1.1. Product Type breakdown size & forecasts, 2022-2032
7.1.1.2. Application breakdown size & forecasts, 2022-2032
7.1.2. Canada Web Scraper Software Market
7.2. Europe Web Scraper Software Market
7.2.1. U.K. Web Scraper Software Market
7.2.2. Germany Web Scraper Software Market
7.2.3. France Web Scraper Software Market
7.2.4. Spain Web Scraper Software Market
7.2.5. Italy Web Scraper Software Market
7.2.6. Rest of Europe Web Scraper Software Market
7.3. Asia-Pacific Web Scraper Software Market
7.3.1. China Web Scraper Software Market
7.3.2. India Web Scraper Software Market
7.3.3. Japan Web Scraper Software Market
7.3.4. Australia Web Scraper Software Market
7.3.5. South Korea Web Scraper Software Market
7.3.6. Rest of Asia Pacific Web Scraper Software Market
7.4. Latin America Web Scraper Software Market
7.4.1. Brazil Web Scraper Software Market
7.4.2. Mexico Web Scraper Software Market
7.4.3. Rest of Latin America Web Scraper Software Market
7.5. Middle East & Africa Web Scraper Software Market
7.5.1. Saudi Arabia Web Scraper Software Market
7.5.2. South Africa Web Scraper Software Market
7.5.3. Rest of Middle East & Africa Web Scraper Software Market
Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Datahut
8.3.1.1. Key Information
8.3.1.2. Overview
8.3.1.3. Financial (Subject to Data Availability)
8.3.1.4. Product Summary
8.3.1.5. Market Strategies
8.3.2. Web Host
8.3.3. Octopus Data Inc
8.3.4. Apify
8.3.5. Intelliswift
8.3.6. Phantom Buster
8.3.7. Mozenda Inc.
8.3.8. UiPath
8.3.9. iSolve Technologies
8.3.10. Web Spiders Group
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes