Global Web Scraping Software Market 2024 by Company, Regions, Type and Application, Forecast to 2030
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.
According to our (Global Info Research) latest study, the global Web Scraping Software market size was valued at US$ 4162 million in 2023 and is forecast to a readjusted size of USD 31940 million by 2030 with a CAGR of 34.2% during review period.
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.
This report is a detailed and comprehensive analysis for global Web Scraping Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.
Key Features:
Global Web Scraping Software market size and forecasts, in consumption value ($ Million), 2019-2030
Global Web Scraping Software market size and forecasts by region and country, in consumption value ($ Million), 2019-2030
Global Web Scraping Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030
Global Web Scraping Software market shares of main players, in revenue ($ Million), 2019-2024
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Web Scraping Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Web Scraping Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Import.io, Octopus Data, Mozenda, Diffbot, Scrapinghub, ParseHub, Prowebscraper, Apify, dexi.io, Grepsr, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Web Scraping Software market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segmentation
Web Scraping Software market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Cloud-Based
On-Premises
Market segment by Application
Financial Analysis
Travel & Hospitality
Real Estate
Jobs & Human Capital
Other
Market segment by players, this report covers
Import.io
Octopus Data
Mozenda
Diffbot
Scrapinghub
ParseHub
Prowebscraper
Apify
dexi.io
Grepsr
HelpSystems
eGrabber
Datahut
Diggernaut
Helium Scraper
Webhose.io
justLikeAPI
3i Data Scraping
PromptCloud
Hangzhou Duosuan Technology Co., Ltd.
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Web Scraping Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Web Scraping Software, with revenue, gross margin, and global market share of Web Scraping Software from 2019 to 2024.
Chapter 3, the Web Scraping Software competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Web Scraping Software market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Web Scraping Software.
Chapter 13, to describe Web Scraping Software research findings and conclusion.