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市場調查報告書
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1957333

網路爬蟲軟體市場 - 全球產業規模、佔有率、趨勢、機會、預測：按類型、部署模式、最終用戶、地區和競爭格局分類，2021-2031年

Web Scraping Software Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Type, By Deployment Mode, By End-User, By Region & Competition, & Competition 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球網路爬蟲軟體市場預計將從 2025 年的 1,081,960,000 美元成長到 2031 年的 2,586,030,000 美元，複合年成長率為 15.63%。

該軟體包含一系列自動化工具，旨在收集非結構化的網路資料並將其轉換為適合分析的結構化格式。該領域的成長主要源於金融投資策略對另類數據日益成長的需求，以及線上零售業對即時競爭價格追蹤的需求。企業越來越依賴這些解決方案來收集公開資訊以進行市場情報分析，並建立資料密集型分析平台。這不僅省去了手動資料輸入的步驟，還有助於提高營運效率。

市場概覽
預測期 2027-2031
市場規模：2025年 1,081,960,000 美元
市場規模：2031年 2,586,030,000 美元
複合年成長率：2026-2031年 15.63%
成長最快的細分市場 本地部署
最大的市場 北美洲

然而，由於防禦技術的進步和旨在保護用戶隱私和防止詐騙的法律法規，該行業面臨許多挑戰。合法的資料提取工作經常受到惡意活動啟動的複雜攔截系統的阻礙。根據全球反詐騙聯盟預測，到2024年，全球因詐騙造成的損失將超過1.03兆美元，迫使企業實施嚴格的數位防禦措施。然而，這些措施卻無意中阻礙了合法的網路爬蟲活動。

市場促進因素

人工智慧 (AI) 和機器學習 (ML) 模型訓練對大量結構化資料的需求日益成長，這是推動市場擴張的主要動力。企業和開發者正在擴大網路爬蟲軟體的使用範圍，以收集改進大規模語言模型 (LLM) 和生成系統所需的各種資料集。高品質公共資訊的匱乏進一步加劇了這種需求，而高品質公共資訊對於開發至關重要。 Epoch AI 在 2024 年 6 月發布的分析報告《數據會枯竭嗎？ 》預測，高品質公共語言資料的供應可能在 2026 年至 2032 年間耗盡，這將促使各組織立即加強資料提取力道。因此，網路自動化基礎設施得到了顯著擴展。根據泰雷茲 (Thales) 2024 年的報告，自動化機器人上年度佔所有網路流量的 49.6%，凸顯了自動化資料收集在數位經濟中的重要性。

此外，電子商務產業的快速成長使得企業越來越依賴網路爬蟲工具來收集動態定價資訊和進行市場監測。線上經銷商利用這些解決方案即時監控競爭對手的價格、存量基準和消費者情緒，從而能夠即時調整策略以維持利潤率。數位商務的龐大規模使得及時且準確的數據變得尤為重要。 Adobe 於 2024 年 10 月發布的《2024 年假期購物預測》預測，美國線上銷售額將達到 2,408 億美元，這創造了一個競爭激烈的環境，基於網路爬蟲資料的演算法定價策略對於企業的生存至關重要。這種競爭格局確保了網路爬蟲軟體仍將是商業策略的核心要素，即使目標網站採取了防禦措施。

市場挑戰

全球網路爬蟲軟體市場面臨的主要障礙是日益猖獗的防禦技術和旨在保護數位資產的法律限制。隨著網站實施嚴格的通訊協定來保護使用者隱私和防止資料竊取，合法的爬蟲工具常常會受到諸如IP黑名單、驗證碼機制和行為分析等複雜措施的阻礙。由於這些防禦措施通常無法區分合法的抓取活動和惡意機器人，軟體供應商被迫不斷開發昂貴的規避技術。這種情況顯著增加了營運成本，並降低了所收集資料的可靠性，因此潛在客戶往往不願意投資那些無法保證穩定存取關鍵資訊的爬蟲解決方案。

這種監管趨嚴的趨勢是對網路犯罪日益猖獗的直接回應，迫使企業加強其線上防禦。根據商家風險委員會 (MRC) 發布的 2024 年報告，超過 60% 的企業正面臨詐欺相關濫用行為的增加，因此亟需廣泛採用更嚴格的自動化過濾系統。這種防禦措施的激增無意中抑制了網路爬蟲市場的成長，因為它將公共數據置於難以取得的屏障之後。隨著資料收集過程在技術上變得高成本，軟體供應商的利潤率正在下降，市場接受度也在放緩。

市場趨勢

人工智慧在自適應資料提取領域的應用正在改變市場格局，它能有效降低因網站架構頻繁變更而帶來的維護負擔。與依賴靜態程式碼選擇器的傳統爬蟲不同，自癒演算法利用機器學習和電腦視覺技術動態分析頁面佈局，使擷取過程能夠自動適應前端變化。這項技術進步顯著提升了大規模資料採集計劃的資料可靠性和運作效率。正如Zyte在2025年1月發布的《2025年網路爬蟲產業報告》中所述，人工智慧驅動的自主擷取技術使結構化電商資料的交付速度比傳統的手動腳本方法提高了三倍。這凸顯了自適應系統帶來的顯著效率提升。

同時，無程式碼/低程式碼網路爬蟲工具的興起，使網路情報的取得更加普及，使用者群體也從專業工程團隊擴展到了更廣泛的使用者群體。這些平台透過提供預先配置的擷取範本和視覺化的點擊式介面，降低了技術門檻，使業務分析師和非技術人員能夠獨立管理資料收集工作流程。這種可近性的提升正在推動各行各業對自動化數據工具的快速採用。根據 Apify 於 2025 年 1 月發布的《2025 年網路爬蟲現況報告》，該平台的每月有效用戶年增了 142%。這一成長主要源於不斷擴大的專業人士群體對易於使用的雲端自動化解決方案日益成長的需求。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球網路爬蟲軟體市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 依類型（通用網路履帶、增量網路履帶、深度網路履帶）
    • 部署方式（雲端部署、本機部署）
    • 按最終用戶（銀行、金融服務和保險、零售/電子商務、房地產、政府、醫療保健、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美網路爬蟲軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲網路爬蟲軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區網路爬蟲軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲網路爬蟲軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲網路爬蟲軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球網路爬蟲軟體市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Octopus Data Inc.
  • Web Spiders Group
  • Mozenda, Inc.
  • Zyte Group Limited
  • Ficstar Software Inc
  • QL2 Software, LLC
  • Diggernaut, LLC
  • UiPath Inc.
  • Diffbot Technologies Corp.
  • Hashwave Technologies Inc.

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 21491

The Global Web Scraping Software Market is projected to expand from USD 1081.96 Million in 2025 to USD 2586.03 Million by 2031, registering a 15.63% CAGR. This software includes automated tools engineered to collect unstructured internet data and transform it into structured formats suitable for analysis. Growth in this sector is largely fueled by the rising need for alternative data in financial investment strategies and the requirement for real-time competitive price tracking within the online retail industry. Companies are increasingly depending on these solutions to gather public information for market intelligence and to populate data-heavy analytics platforms, which supports operational efficiency by eliminating the need for manual data entry.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 1081.96 Million
Market Size 2031USD 2586.03 Million
CAGR 2026-203115.63%
Fastest Growing SegmentOn-Premises
Largest MarketNorth America

Nevertheless, the industry encounters substantial hurdles due to strengthening defensive technologies and legal regulations designed to safeguard user privacy and deter fraud. Lawful data extraction efforts are frequently obstructed by complex blocking systems activated by widespread malicious activities. As reported by the Global Anti-Scam Alliance, scams resulted in global losses exceeding $1.03 trillion in 2024, prompting businesses to enforce rigorous digital defenses that unintentionally hinder legitimate web scraping activities.

Market Driver

The escalating need for extensive structured data to train Artificial Intelligence and Machine Learning models acts as a major driver for market expansion. Enterprises and developers are increasingly utilizing scraping software to gather the varied datasets necessary for improving Large Language Models and generative systems. This demand is intensified by the limited availability of high-quality public information essential for development. Epoch AI's June 2024 analysis, 'Will we run out of data?', predicts that the supply of high-quality public language data may run out between 2026 and 2032, driving organizations to ramp up their extraction efforts immediately. Consequently, the infrastructure for web automation has grown substantially; Thales reported in 2024 that automated bots represented 49.6% of all internet traffic the previous year, highlighting the vital importance of automated data collection in the digital economy.

Additionally, the rapid growth of the e-commerce industry reinforces the dependence on scraping tools for dynamic pricing intelligence and market surveillance. Online merchants employ these solutions to monitor competitor prices, inventory levels, and consumer sentiment in real-time, facilitating immediate adjustments to preserve profit margins. The importance of timely and accurate data is heightened by the massive scale of digital commerce. In its October 2024 '2024 Holiday Shopping Forecast', Adobe projects U.S. online sales to hit $240.8 billion, establishing a high-pressure environment where algorithmic pricing strategies based on scraped data are crucial for business survival. This competitive landscape ensures that web scraping software remains a core component of commercial strategy, regardless of the defensive barriers erected by target websites.

Market Challenge

A major obstacle obstructing the Global Web Scraping Software Market is the swift increase in aggressive defensive technologies and legal constraints aimed at securing digital assets. Because websites are implementing rigorous protocols to safeguard user privacy and prevent data theft, legitimate scraping tools are often obstructed by advanced countermeasures like IP blacklisting, CAPTCHA mechanisms, and behavioral analysis. Since these defenses frequently cannot differentiate between authorized extraction activities and malicious bots, software vendors are forced to continually create expensive evasion techniques. This situation substantially raises operational costs and compromises the reliability of collected data, causing potential clients to hesitate before investing in scraping solutions that cannot assure consistent access to essential information.

This increasingly restrictive environment is a direct reaction to rising digital crime, compelling businesses to strengthen their online defenses. The Merchant Risk Council reported in 2024 that over 60 percent of merchants experienced a rise in fraud-related misuse, requiring the broad adoption of tighter automated filtering systems. This surge in defensive measures unintentionally curtails the scraping market's growth by placing public data behind inaccessible barriers. As the process of retrieving information becomes more technically challenging and costly, the market encounters reduced profit margins for software providers and slower adoption rates.

Market Trends

The incorporation of AI for Adaptive Data Extraction is transforming the market by reducing the maintenance burden associated with frequent alterations in website architecture. In contrast to traditional scrapers that depend on static code selectors, self-healing algorithms employ machine learning and computer vision to dynamically analyze page layouts, enabling extraction processes to automatically adjust to front-end changes. This technological progression greatly improves data reliability and operational efficiency for large-scale collection initiatives. As stated in Zyte's '2025 Web Scraping Industry Report' from January 2025, the use of AI-powered autonomous extraction technologies facilitated the delivery of structured e-commerce data three times faster than older manual scripting techniques, highlighting the significant efficiency improvements offered by adaptive systems.

Concurrently, the rise of No-Code and Low-Code Scraping Tools is democratizing access to web intelligence, broadening the user base to include those outside of specialized engineering groups. These platforms reduce technical barriers by providing pre-configured extraction templates and visual point-and-click interfaces, allowing business analysts and non-technical personnel to independently manage data collection workflows. This increased accessibility is fueling a swift rise in the adoption of automated data tools across various industries. According to Apify's 'State of Web Scraping Report 2025' from January 2025, the platform experienced a 142% growth in monthly active users over the previous year, a spike driven by the escalating demand for accessible, cloud-based automation solutions among a growing professional audience.

Key Market Players

  • Octopus Data Inc.
  • Web Spiders Group
  • Mozenda, Inc.
  • Zyte Group Limited
  • Ficstar Software Inc
  • QL2 Software, LLC
  • Diggernaut, LLC
  • UiPath Inc.
  • Diffbot Technologies Corp.
  • Hashwave Technologies Inc.

Report Scope

In this report, the Global Web Scraping Software Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Web Scraping Software Market, By Type

  • General-Purpose Web Crawlers
  • Incremental Web Crawlers
  • Deep Web Crawlers

Web Scraping Software Market, By Deployment Mode

  • Cloud-Based
  • On-Premises

Web Scraping Software Market, By End-User

  • BFSI
  • Retail & E-Commerce
  • Real Estate
  • Government
  • Healthcare
  • Others

Web Scraping Software Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Web Scraping Software Market.

Available Customizations:

Global Web Scraping Software Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Web Scraping Software Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type (General-Purpose Web Crawlers, Incremental Web Crawlers, Deep Web Crawlers)
    • 5.2.2. By Deployment Mode (Cloud-Based, On-Premises)
    • 5.2.3. By End-User (BFSI, Retail & E-Commerce, Real Estate, Government, Healthcare, Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Web Scraping Software Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Deployment Mode
    • 6.2.3. By End-User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Web Scraping Software Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Type
        • 6.3.1.2.2. By Deployment Mode
        • 6.3.1.2.3. By End-User
    • 6.3.2. Canada Web Scraping Software Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Type
        • 6.3.2.2.2. By Deployment Mode
        • 6.3.2.2.3. By End-User
    • 6.3.3. Mexico Web Scraping Software Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Type
        • 6.3.3.2.2. By Deployment Mode
        • 6.3.3.2.3. By End-User

7. Europe Web Scraping Software Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Deployment Mode
    • 7.2.3. By End-User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Web Scraping Software Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Type
        • 7.3.1.2.2. By Deployment Mode
        • 7.3.1.2.3. By End-User
    • 7.3.2. France Web Scraping Software Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Type
        • 7.3.2.2.2. By Deployment Mode
        • 7.3.2.2.3. By End-User
    • 7.3.3. United Kingdom Web Scraping Software Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Type
        • 7.3.3.2.2. By Deployment Mode
        • 7.3.3.2.3. By End-User
    • 7.3.4. Italy Web Scraping Software Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Type
        • 7.3.4.2.2. By Deployment Mode
        • 7.3.4.2.3. By End-User
    • 7.3.5. Spain Web Scraping Software Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Type
        • 7.3.5.2.2. By Deployment Mode
        • 7.3.5.2.3. By End-User

8. Asia Pacific Web Scraping Software Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Deployment Mode
    • 8.2.3. By End-User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Web Scraping Software Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Type
        • 8.3.1.2.2. By Deployment Mode
        • 8.3.1.2.3. By End-User
    • 8.3.2. India Web Scraping Software Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Type
        • 8.3.2.2.2. By Deployment Mode
        • 8.3.2.2.3. By End-User
    • 8.3.3. Japan Web Scraping Software Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Type
        • 8.3.3.2.2. By Deployment Mode
        • 8.3.3.2.3. By End-User
    • 8.3.4. South Korea Web Scraping Software Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Type
        • 8.3.4.2.2. By Deployment Mode
        • 8.3.4.2.3. By End-User
    • 8.3.5. Australia Web Scraping Software Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Type
        • 8.3.5.2.2. By Deployment Mode
        • 8.3.5.2.3. By End-User

9. Middle East & Africa Web Scraping Software Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Deployment Mode
    • 9.2.3. By End-User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Web Scraping Software Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Type
        • 9.3.1.2.2. By Deployment Mode
        • 9.3.1.2.3. By End-User
    • 9.3.2. UAE Web Scraping Software Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Type
        • 9.3.2.2.2. By Deployment Mode
        • 9.3.2.2.3. By End-User
    • 9.3.3. South Africa Web Scraping Software Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Type
        • 9.3.3.2.2. By Deployment Mode
        • 9.3.3.2.3. By End-User

10. South America Web Scraping Software Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type
    • 10.2.2. By Deployment Mode
    • 10.2.3. By End-User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Web Scraping Software Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Type
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By End-User
    • 10.3.2. Colombia Web Scraping Software Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Type
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By End-User
    • 10.3.3. Argentina Web Scraping Software Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By Deployment Mode
        • 10.3.3.2.3. By End-User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Web Scraping Software Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Octopus Data Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Web Spiders Group
  • 15.3. Mozenda, Inc.
  • 15.4. Zyte Group Limited
  • 15.5. Ficstar Software Inc
  • 15.6. QL2 Software, LLC
  • 15.7. Diggernaut, LLC
  • 15.8. UiPath Inc.
  • 15.9. Diffbot Technologies Corp.
  • 15.10. Hashwave Technologies Inc.

16. Strategic Recommendations

17. About Us & Disclaimer