Industry: Service & Software
Published Date: 2025-07-30
Pages: 129 Pages
Report ld: 4804179
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Web Scraping API Market Size(US$)

CAGR 2025-2031
1.5%
Market Size,2031
USD 1,286
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Web Scraping API market size was US$ 1030 million in 2024 and is forecast to a readjusted size of US$ 1286 million by 2031 with a CAGR of 1.5% during the forecast period 2025-2031.
Web scraping API, also known as web scraping API, is a tool that obtains website data through an API interface. It helps developers extract structured data from the target website without writing complex crawler code. This method is usually simpler and more efficient than traditional web scraping, and can avoid the interference of some anti-crawler mechanisms. An API (Application Programming Interface) is a set of rules and protocols that allow different software applications to communicate with each other. APIs define methods and data formats that applications can use to request and exchange information. API scraping, therefore, refers to the process of collecting data through official APIs provided by websites and services. Unlike traditional web scraping, API scraping requires making requests directly to dedicated endpoints designed for data access. These endpoints provide structured data in formats such as JSON or XML. This makes the data easier to integrate and process. API scraping works best when working with platforms that provide official APIs, especially when real-time data accuracy is critical. It is a good fit for projects that require stable, structured data access, such as social media integration, payment processing, or financial data retrieval. Although APIs usually have usage fees and rate limits, they provide reliable and authorized access to data. Many major platforms offer official APIs for developers. For example, Reddit provides full API access for retrieving posts, comments, and user data. GitHub's API allows developers to interact with code repositories and user information. LinkedIn provides APIs for posting job postings and obtaining professional network data, while weather services such as OpenWeatherMap provide APIs for accessing meteorological information. The choice between web scraping and APIs depends on a variety of factors, including data availability, update frequency, access rights, resource requirements, and project scalability needs.
Advantages:
APIs are better at dealing with anti-bot systems than web scraping
When using web scraping, you face significant challenges from anti-bot systems. While you can implement solutions such as proxies and headless browsers to bypass these protections, maintaining reliable access requires constant adjustments. APIs offer a more direct approach with authenticated access via API keys, but you need to abide by rate limits and usage policies.
APIs provide structured data, unlike web scraping
Web data scraping deals with raw, unstructured HTML, which requires a lot of processing. Your scraper needs to parse the HTML, clean the data, and convert it into a usable format. In contrast, APIs provide data in a clean, structured format such as JSON or XML that can be immediately used in your application.
APIs are faster than web scraping
Web scraping operations are generally slow, especially when dealing with large-scale data collection or JavaScript-intensive websites. APIs provide optimized data transfer with minimal overhead, which can significantly speed up most use cases. However, web scraping can be optimized through parallel processing and efficient request handling.
APIs offer better stability than web scraping
Web scraping tools are susceptible to changes and updates to websites. Any modification to the HTML structure can break your scraping code, requiring frequent maintenance. APIs provide a more stable environment, including versioning support and logging changes, although they may occasionally deprecate certain features or endpoints.
Web data scraping requires more technical expertise than APIs
Building and maintaining a web crawler requires a lot of technical knowledge. You need to understand HTML structure, deal with anti-bot measures, and manage complex parsing logic. APIs generally provide clear documentation and simple integration patterns, making it easy for developers of all skill levels to get started.
APIs are legally safer than web scraping
Web scraping involves a complex legal landscape. While scraping public data is generally acceptable, you must carefully read the website's terms of service and follow best practices for web scraping. APIs provide a clear legal framework through their terms and conditions, making APIs a safer option from a compliance perspective.
Cons:
Web scraping is cheaper than APIs
The costs of web scraping mainly involve infrastructure and maintenance. While you’ll need to pay for servers and possibly proxies, you can control the scale and frequency of your operations. APIs often have tiered pricing based on usage, which can be expensive for high-volume data collection.
The global Web Scraping API market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2020-2031.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term).
Chapter 2: Quantitative analysis of Web Scraping API market size and growth potential at global, regional, and country levels.
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus).
Chapter 4: Type-based segmentation analysis – Uncovering blue ocean markets (e.g., Pay-as-you-go in China).
Chapter 5: Application-based segmentation analysis – High-growth downstream opportunities (e.g., E-commerce and Retail in India).
Chapter 6: Regional revenue breakdown by company, type, application and customer.
Chapter 7: Key manufacturer profiles – Financials, product portfolios, and strategic developments.
Chapter 8: Market dynamics – Drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 9: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Web Scraping API value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size Growth by Type: 2020 VS 2024 VS 2031
1.2.2 Subscription-based
1.2.3 Pay-as-you-go
1.3 Market by Application
1.3.1 Global Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Data Analysis and Data Science
1.3.3 E-commerce and Retail
1.3.4 Finance and Investment
1.3.5 Marketing and SEO
1.3.6 Real Estate and Recruitment
1.3.7 Academic Research & Government and Public Relations
1.3.8 Other Business Services
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Web Scraping API Market Perspective (2020-2031)
2.2 Global Market Size by Region: 2020 VS 2024 VS 2031
2.3 Global Web Scraping API Revenue Market Share by Region (2020-2025)
2.4 Global Web Scraping API Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging Market Analysis
2.5.1 North America Web Scraping API Market Size and Prospective (2020-2031)
2.5.2 Europe Web Scraping API Market Size and Prospective (2020-2031)
2.5.3 China Web Scraping API Market Size and Prospective (2020-2031)
2.5.4 Japan Web Scraping API Market Size and Prospective (2020-2031)
2.5.5 Southeast Asia Web Scraping API Market Size and Prospective (2020-2031)
2.5.6 India Web Scraping API Market Size and Prospective (2020-2031)
2.5.7 South America Web Scraping API Market Size and Prospective (2020-2031)
2.5.8 Middle East Web Scraping API Market Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global Web Scraping API Historic Market Size by Type (2020-2025)
3.2 Global Web Scraping API Forecasted Market Size by Type (2026-2031)
3.3 Different Types Web Scraping API Representative Players
4 Breakdown Data by Application
4.1 Global Web Scraping API Historic Market Size by Application (2020-2025)
4.2 Global Web Scraping API Forecasted Market Size by Application (2026-2031)
4.3 New Sources of Growth in Web Scraping API Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Web Scraping API Players by Revenue (2020-2025)
5.1.2 Global Web Scraping API Revenue Market Share by Players (2020-2025)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by Web Scraping API Revenue
5.4 Global Web Scraping API Market Concentration Analysis
5.4.1 Global Web Scraping API Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by Web Scraping API Revenue in 2024
5.5 Global Key Players of Web Scraping API Head office and Area Served
5.6 Global Key Players of Web Scraping API, Product and Application
5.7 Global Key Players of Web Scraping API, Date of Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments and Downstream
6.1.1 North America Web Scraping API Revenue by Company (2020-2025)
6.1.2 North America Market Size by Type
6.1.2.1 North America Web Scraping API Market Size by Type (2020-2025)
6.1.2.2 North America Web Scraping API Market Share by Type (2020-2025)
6.1.3 North America Market Size by Application
6.1.3.1 North America Web Scraping API Market Size by Application (2020-2025)
6.1.3.2 North America Web Scraping API Market Share by Application (2020-2025)
6.1.4 North America Market Trend and Opportunities
6.2 Europe Market: Players, Segments and Downstream
6.2.1 Europe Web Scraping API Revenue by Company (2020-2025)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe Web Scraping API Market Size by Type (2020-2025)
6.2.2.2 Europe Web Scraping API Market Share by Type (2020-2025)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe Web Scraping API Market Size by Application (2020-2025)
6.2.3.2 Europe Web Scraping API Market Share by Application (2020-2025)
6.2.4 Europe Market Trend and Opportunities
6.3 China Market: Players, Segments and Downstream
6.3.1 China Web Scraping API Revenue by Company (2020-2025)
6.3.2 China Market Size by Type
6.3.2.1 China Web Scraping API Market Size by Type (2020-2025)
6.3.2.2 China Web Scraping API Market Share by Type (2020-2025)
6.3.3 China Market Size by Application
6.3.3.1 China Web Scraping API Market Size by Application (2020-2025)
6.3.3.2 China Web Scraping API Market Share by Application (2020-2025)
6.3.4 China Market Trend and Opportunities
6.4 Japan Market: Players, Segments and Downstream
6.4.1 Japan Web Scraping API Revenue by Company (2020-2025)
6.4.2 Japan Market Size by Type
6.4.2.1 Japan Web Scraping API Market Size by Type (2020-2025)
6.4.2.2 Japan Web Scraping API Market Share by Type (2020-2025)
6.4.3 Japan Market Size by Application
6.4.3.1 Japan Web Scraping API Market Size by Application (2020-2025)
6.4.3.2 Japan Web Scraping API Market Share by Application (2020-2025)
6.4.4 Japan Market Trend and Opportunities
6.5 Southeast Asia Market: Players, Segments and Downstream
6.5.1 Southeast Asia Web Scraping API Revenue by Company (2020-2025)
6.5.2 Southeast Asia Market Size by Type
6.5.2.1 Southeast Asia Web Scraping API Market Size by Type (2020-2025)
6.5.2.2 Southeast Asia Web Scraping API Market Share by Type (2020-2025)
6.5.3 Southeast Asia Market Size by Application
6.5.3.1 Southeast Asia Web Scraping API Market Size by Application (2020-2025)
6.5.3.2 Southeast Asia Web Scraping API Market Share by Application (2020-2025)
6.5.4 Southeast Asia Market Trend and Opportunities
6.6 India Market: Players, Segments and Downstream
6.6.1 India Web Scraping API Revenue by Company (2020-2025)
6.6.2 India Market Size by Type
6.6.2.1 India Web Scraping API Market Size by Type (2020-2025)
6.6.2.2 India Web Scraping API Market Share by Type (2020-2025)
6.6.3 India Market Size by Application
6.6.3.1 India Web Scraping API Market Size by Application (2020-2025)
6.6.3.2 India Web Scraping API Market Share by Application (2020-2025)
6.6.4 India Market Trend and Opportunities
7 Key Players Profiles
7.1 Bright Data
7.1.1 Bright Data Company Details
7.1.2 Bright Data Business Overview
7.1.3 Bright Data Web Scraping API Introduction
7.1.4 Bright Data Revenue in Web Scraping API Business (2020-2025)
7.1.5 Bright Data Recent Development
7.2 ScraperAPI
7.2.1 ScraperAPI Company Details
7.2.2 ScraperAPI Business Overview
7.2.3 ScraperAPI Web Scraping API Introduction
7.2.4 ScraperAPI Revenue in Web Scraping API Business (2020-2025)
7.2.5 ScraperAPI Recent Development
7.3 Oxylabs
7.3.1 Oxylabs Company Details
7.3.2 Oxylabs Business Overview
7.3.3 Oxylabs Web Scraping API Introduction
7.3.4 Oxylabs Revenue in Web Scraping API Business (2020-2025)
7.3.5 Oxylabs Recent Development
7.4 ScrapingBee
7.4.1 ScrapingBee Company Details
7.4.2 ScrapingBee Business Overview
7.4.3 ScrapingBee Web Scraping API Introduction
7.4.4 ScrapingBee Revenue in Web Scraping API Business (2020-2025)
7.4.5 ScrapingBee Recent Development
7.5 Apify
7.5.1 Apify Company Details
7.5.2 Apify Business Overview
7.5.3 Apify Web Scraping API Introduction
7.5.4 Apify Revenue in Web Scraping API Business (2020-2025)
7.5.5 Apify Recent Development
7.6 RapidAPI
7.6.1 RapidAPI Company Details
7.6.2 RapidAPI Business Overview
7.6.3 RapidAPI Web Scraping API Introduction
7.6.4 RapidAPI Revenue in Web Scraping API Business (2020-2025)
7.6.5 RapidAPI Recent Development
7.7 Infactica
7.7.1 Infactica Company Details
7.7.2 Infactica Business Overview
7.7.3 Infactica Web Scraping API Introduction
7.7.4 Infactica Revenue in Web Scraping API Business (2020-2025)
7.7.5 Infactica Recent Development
7.8 Zenrows
7.8.1 Zenrows Company Details
7.8.2 Zenrows Business Overview
7.8.3 Zenrows Web Scraping API Introduction
7.8.4 Zenrows Revenue in Web Scraping API Business (2020-2025)
7.8.5 Zenrows Recent Development
7.9 Smartproxy
7.9.1 Smartproxy Company Details
7.9.2 Smartproxy Business Overview
7.9.3 Smartproxy Web Scraping API Introduction
7.9.4 Smartproxy Revenue in Web Scraping API Business (2020-2025)
7.9.5 Smartproxy Recent Development
7.10 WebScrapingAPI
7.10.1 WebScrapingAPI Company Details
7.10.2 WebScrapingAPI Business Overview
7.10.3 WebScrapingAPI Web Scraping API Introduction
7.10.4 WebScrapingAPI Revenue in Web Scraping API Business (2020-2025)
7.10.5 WebScrapingAPI Recent Development
7.11 Decodo
7.11.1 Decodo Company Details
7.11.2 Decodo Business Overview
7.11.3 Decodo Web Scraping API Introduction
7.11.4 Decodo Revenue in Web Scraping API Business (2020-2025)
7.11.5 Decodo Recent Development
7.12 Zyte
7.12.1 Zyte Company Details
7.12.2 Zyte Business Overview
7.12.3 Zyte Web Scraping API Introduction
7.12.4 Zyte Revenue in Web Scraping API Business (2020-2025)
7.12.5 Zyte Recent Development
7.13 NetNut
7.13.1 NetNut Company Details
7.13.2 NetNut Business Overview
7.13.3 NetNut Web Scraping API Introduction
7.13.4 NetNut Revenue in Web Scraping API Business (2020-2025)
7.13.5 NetNut Recent Development
7.14 Nimble
7.14.1 Nimble Company Details
7.14.2 Nimble Business Overview
7.14.3 Nimble Web Scraping API Introduction
7.14.4 Nimble Revenue in Web Scraping API Business (2020-2025)
7.14.5 Nimble Recent Development
7.15 SOAX
7.15.1 SOAX Company Details
7.15.2 SOAX Business Overview
7.15.3 SOAX Web Scraping API Introduction
7.15.4 SOAX Revenue in Web Scraping API Business (2020-2025)
7.15.5 SOAX Recent Development
7.16 Import.io
7.16.1 Import.io Company Details
7.16.2 Import.io Business Overview
7.16.3 Import.io Web Scraping API Introduction
7.16.4 Import.io Revenue in Web Scraping API Business (2020-2025)
7.16.5 Import.io Recent Development
7.17 Diffbot
7.17.1 Diffbot Company Details
7.17.2 Diffbot Business Overview
7.17.3 Diffbot Web Scraping API Introduction
7.17.4 Diffbot Revenue in Web Scraping API Business (2020-2025)
7.17.5 Diffbot Recent Development
7.18 Prowebscraper
7.18.1 Prowebscraper Company Details
7.18.2 Prowebscraper Business Overview
7.18.3 Prowebscraper Web Scraping API Introduction
7.18.4 Prowebscraper Revenue in Web Scraping API Business (2020-2025)
7.18.5 Prowebscraper Recent Development
7.19 Grepsr
7.19.1 Grepsr Company Details
7.19.2 Grepsr Business Overview
7.19.3 Grepsr Web Scraping API Introduction
7.19.4 Grepsr Revenue in Web Scraping API Business (2020-2025)
7.19.5 Grepsr Recent Development
7.20 ProxiesAPI
7.20.1 ProxiesAPI Company Details
7.20.2 ProxiesAPI Business Overview
7.20.3 ProxiesAPI Web Scraping API Introduction
7.20.4 ProxiesAPI Revenue in Web Scraping API Business (2020-2025)
7.20.5 ProxiesAPI Recent Development
7.21 PromptCloud
7.21.1 PromptCloud Company Details
7.21.2 PromptCloud Business Overview
7.21.3 PromptCloud Web Scraping API Introduction
7.21.4 PromptCloud Revenue in Web Scraping API Business (2020-2025)
7.21.5 PromptCloud Recent Development
7.22 Lobstr
7.22.1 Lobstr Company Details
7.22.2 Lobstr Business Overview
7.22.3 Lobstr Web Scraping API Introduction
7.22.4 Lobstr Revenue in Web Scraping API Business (2020-2025)
7.22.5 Lobstr Recent Development
7.23 WebHarvy
7.23.1 WebHarvy Company Details
7.23.2 WebHarvy Business Overview
7.23.3 WebHarvy Web Scraping API Introduction
7.23.4 WebHarvy Revenue in Web Scraping API Business (2020-2025)
7.23.5 WebHarvy Recent Development
7.24 Web Scraper
7.24.1 Web Scraper Company Details
7.24.2 Web Scraper Business Overview
7.24.3 Web Scraper Web Scraping API Introduction
7.24.4 Web Scraper Revenue in Web Scraping API Business (2020-2025)
7.24.5 Web Scraper Recent Development
7.25 Webz.io
7.25.1 Webz.io Company Details
7.25.2 Webz.io Business Overview
7.25.3 Webz.io Web Scraping API Introduction
7.25.4 Webz.io Revenue in Web Scraping API Business (2020-2025)
7.25.5 Webz.io Recent Development
7.26 Coresignal
7.26.1 Coresignal Company Details
7.26.2 Coresignal Business Overview
7.26.3 Coresignal Web Scraping API Introduction
7.26.4 Coresignal Revenue in Web Scraping API Business (2020-2025)
7.26.5 Coresignal Recent Development
7.27 Nimbleway
7.27.1 Nimbleway Company Details
7.27.2 Nimbleway Business Overview
7.27.3 Nimbleway Web Scraping API Introduction
7.27.4 Nimbleway Revenue in Web Scraping API Business (2020-2025)
7.27.5 Nimbleway Recent Development
7.28 Skieer Information Technology (Shenzhen) Co., Ltd. (Bazhuayu/Octoparse/Octoparse.JP)
7.28.1 Skieer Information Technology (Shenzhen) Co., Ltd. (Bazhuayu/Octoparse/Octoparse.JP) Company Details
7.28.2 Skieer Information Technology (Shenzhen) Co., Ltd. (Bazhuayu/Octoparse/Octoparse.JP) Business Overview
7.28.3 Skieer Information Technology (Shenzhen) Co., Ltd. (Bazhuayu/Octoparse/Octoparse.JP) Web Scraping API Introduction
7.28.4 Skieer Information Technology (Shenzhen) Co., Ltd. (Bazhuayu/Octoparse/Octoparse.JP) Revenue in Web Scraping API Business (2020-2025)
7.28.5 Skieer Information Technology (Shenzhen) Co., Ltd. (Bazhuayu/Octoparse/Octoparse.JP) Recent Development
8 Web Scraping API Market Dynamics
8.1 Web Scraping API Industry Trends
8.2 Web Scraping API Market Drivers
8.3 Web Scraping API Market Challenges
8.4 Web Scraping API Market Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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