Web Scraper Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511245683

Publication Date:

November 26, 2024

Pages:

113

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Data displayed by most websites can only be viewed using a web browser. They do not offer the functionality to save a copy of this data for personal use. The only option then is to manually copy and paste the data - a very tedious job which can take many hours or sometimes days to complete. Web Scraping is the technique of automating this process, so that instead of manually copying the data from websites, the Web Scraping software will perform the same task within a fraction of the time.
Web scraping (or data extraction) software is used to extract unstructured data from web pages. The data is then converted into a structured format that can be loaded into a database. Examples of unstructured data might be emails or other contact info, reports, URLs, etc.
A web scraping software will automatically load and extract data from multiple pages of websites based on your requirement. It is either custom built for a specific website or is one which can be configured to work with any website. With the click of a button you can easily save the data available in the website to a file in your computer.
The global market for Web Scraper Software was estimated to be worth US$ 2752 million in 2023 and is forecast to a readjusted size of US$ 7463.6 million by 2030 with a CAGR of 15.0% during the forecast period 2024-2030
Web Scraping Software is mainly classified into the following types: Cloud-Based and On-Premises. Cloud-Based is the most widely used type which takes up about 84.75% of the global market in 2019.
Web Scraping Software is mainly classified into the following applications: Paid Monthly and Paid Annually. And Paid Monthly was the most widely used which took up about 68.87% of the global total in 2019.
HelpSystems, ParseHub, eGrabber, dexi.io, Import.io, etc. are the key suppliers in the Web Scraping Software market. Top 5 took up about 14.47% of the global market in 2019.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Web Scraper Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Web Scraper Software by region & country, by Type, and by Application.
The Web Scraper Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Web Scraper Software.
Market Segmentation
By Company
Phantom Buster
PilotFish
Mozenda
Diggernaut
Hangzhou Duosuan Technology
SysNucleus
ParseHub
Octopus Data
Diffbot Technologies
Apify
Sequentum
Dexi ApS
Datopian
Segment by Type:
General-Purpose Web Crawlers
Focused Web Crawlers
Incremental Web Crawlers
Deep Web Crawler
Segment by Application
Retail and Ecommerce
Advertising and Media
Real Estate
Finance
Automotive
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Web Scraper Software manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Web Scraper Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Web Scraper Software in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 Web Scraper Software Product Introduction
1.2 Global Web Scraper Software Market Size Forecast
1.3 Web Scraper Software Market Trends & Drivers
1.3.1 Web Scraper Software Industry Trends
1.3.2 Web Scraper Software Market Drivers & Opportunity
1.3.3 Web Scraper Software Market Challenges
1.3.4 Web Scraper Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Web Scraper Software Players Revenue Ranking (2023)
2.2 Global Web Scraper Software Revenue by Company (2019-2024)
2.3 Key Companies Web Scraper Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Web Scraper Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Web Scraper Software
2.6 Web Scraper Software Market Competitive Analysis
2.6.1 Web Scraper Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Web Scraper Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Web Scraper Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 General-Purpose Web Crawlers
3.1.2 Focused Web Crawlers
3.1.3 Incremental Web Crawlers
3.1.4 Deep Web Crawler
3.2 Global Web Scraper Software Sales Value by Type
3.2.1 Global Web Scraper Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Web Scraper Software Sales Value, by Type (2019-2030)
3.2.3 Global Web Scraper Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Retail and Ecommerce
4.1.2 Advertising and Media
4.1.3 Real Estate
4.1.4 Finance
4.1.5 Automotive
4.1.6 Others
4.2 Global Web Scraper Software Sales Value by Application
4.2.1 Global Web Scraper Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Web Scraper Software Sales Value, by Application (2019-2030)
4.2.3 Global Web Scraper Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Web Scraper Software Sales Value by Region
5.1.1 Global Web Scraper Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Web Scraper Software Sales Value by Region (2019-2024)
5.1.3 Global Web Scraper Software Sales Value by Region (2025-2030)
5.1.4 Global Web Scraper Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Web Scraper Software Sales Value, 2019-2030
5.2.2 North America Web Scraper Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Web Scraper Software Sales Value, 2019-2030
5.3.2 Europe Web Scraper Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Web Scraper Software Sales Value, 2019-2030
5.4.2 Asia Pacific Web Scraper Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Web Scraper Software Sales Value, 2019-2030
5.5.2 South America Web Scraper Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Web Scraper Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Web Scraper Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Web Scraper Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Web Scraper Software Sales Value
6.3 United States
6.3.1 United States Web Scraper Software Sales Value, 2019-2030
6.3.2 United States Web Scraper Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Web Scraper Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Web Scraper Software Sales Value, 2019-2030
6.4.2 Europe Web Scraper Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Web Scraper Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Web Scraper Software Sales Value, 2019-2030
6.5.2 China Web Scraper Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Web Scraper Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Web Scraper Software Sales Value, 2019-2030
6.6.2 Japan Web Scraper Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Web Scraper Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Web Scraper Software Sales Value, 2019-2030
6.7.2 South Korea Web Scraper Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Web Scraper Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Web Scraper Software Sales Value, 2019-2030
6.8.2 Southeast Asia Web Scraper Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Web Scraper Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Web Scraper Software Sales Value, 2019-2030
6.9.2 India Web Scraper Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Web Scraper Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Phantom Buster
7.1.1 Phantom Buster Profile
7.1.2 Phantom Buster Main Business
7.1.3 Phantom Buster Web Scraper Software Products, Services and Solutions
7.1.4 Phantom Buster Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.1.5 Phantom Buster Recent Developments
7.2 PilotFish
7.2.1 PilotFish Profile
7.2.2 PilotFish Main Business
7.2.3 PilotFish Web Scraper Software Products, Services and Solutions
7.2.4 PilotFish Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.2.5 PilotFish Recent Developments
7.3 Mozenda
7.3.1 Mozenda Profile
7.3.2 Mozenda Main Business
7.3.3 Mozenda Web Scraper Software Products, Services and Solutions
7.3.4 Mozenda Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.3.5 Diggernaut Recent Developments
7.4 Diggernaut
7.4.1 Diggernaut Profile
7.4.2 Diggernaut Main Business
7.4.3 Diggernaut Web Scraper Software Products, Services and Solutions
7.4.4 Diggernaut Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.4.5 Diggernaut Recent Developments
7.5 Hangzhou Duosuan Technology
7.5.1 Hangzhou Duosuan Technology Profile
7.5.2 Hangzhou Duosuan Technology Main Business
7.5.3 Hangzhou Duosuan Technology Web Scraper Software Products, Services and Solutions
7.5.4 Hangzhou Duosuan Technology Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.5.5 Hangzhou Duosuan Technology Recent Developments
7.6 SysNucleus
7.6.1 SysNucleus Profile
7.6.2 SysNucleus Main Business
7.6.3 SysNucleus Web Scraper Software Products, Services and Solutions
7.6.4 SysNucleus Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.6.5 SysNucleus Recent Developments
7.7 ParseHub
7.7.1 ParseHub Profile
7.7.2 ParseHub Main Business
7.7.3 ParseHub Web Scraper Software Products, Services and Solutions
7.7.4 ParseHub Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.7.5 ParseHub Recent Developments
7.8 Octopus Data
7.8.1 Octopus Data Profile
7.8.2 Octopus Data Main Business
7.8.3 Octopus Data Web Scraper Software Products, Services and Solutions
7.8.4 Octopus Data Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.8.5 Octopus Data Recent Developments
7.9 Diffbot Technologies
7.9.1 Diffbot Technologies Profile
7.9.2 Diffbot Technologies Main Business
7.9.3 Diffbot Technologies Web Scraper Software Products, Services and Solutions
7.9.4 Diffbot Technologies Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.9.5 Diffbot Technologies Recent Developments
7.10 Apify
7.10.1 Apify Profile
7.10.2 Apify Main Business
7.10.3 Apify Web Scraper Software Products, Services and Solutions
7.10.4 Apify Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.10.5 Apify Recent Developments
7.11 Sequentum
7.11.1 Sequentum Profile
7.11.2 Sequentum Main Business
7.11.3 Sequentum Web Scraper Software Products, Services and Solutions
7.11.4 Sequentum Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.11.5 Sequentum Recent Developments
7.12 Dexi ApS
7.12.1 Dexi ApS Profile
7.12.2 Dexi ApS Main Business
7.12.3 Dexi ApS Web Scraper Software Products, Services and Solutions
7.12.4 Dexi ApS Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.12.5 Dexi ApS Recent Developments
7.13 Datopian
7.13.1 Datopian Profile
7.13.2 Datopian Main Business
7.13.3 Datopian Web Scraper Software Products, Services and Solutions
7.13.4 Datopian Web Scraper Software Revenue (US$ Million) & (2019-2024)
7.13.5 Datopian Recent Developments
8 Industry Chain Analysis
8.1 Web Scraper Software Industrial Chain
8.2 Web Scraper Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Web Scraper Software Sales Model
8.5.2 Sales Channel
8.5.3 Web Scraper Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Phantom Buster
PilotFish
Mozenda
Diggernaut
Hangzhou Duosuan Technology
SysNucleus
ParseHub
Octopus Data
Diffbot Technologies
Apify
Sequentum
Dexi ApS
Datopian

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