Data 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. The data conversion process uses a variety of tools to assess structure, including text pattern matching, tabulation, or text analytics to comprehend the text and link it to other data.
The global market for Data Scraping Software was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Data Scraping Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data Scraping Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Data Scraping Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Data Scraping Software include BrightData, Scrape.do, Scrapingdog, AvesAPI, ParseHub, Diffbot, Scrape-It.Cloud, Octoparse and ScrapingBee, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Scraping Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Scraping Software by region & country, by Type, and by Application.
The Data Scraping 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 Data Scraping Software.
Market Segmentation
By Company
BrightData
Scrape.do
Scrapingdog
AvesAPI
ParseHub
Diffbot
Scrape-It.Cloud
Octoparse
ScrapingBee
Grepsr
Scraper API
Scrapy
Import.io
Apify
Mozenda
justLikeAPI
SerpApi
JobsPikr
TexAu
Zyte
NimbleWay
Smartproxy
Zenscrape
Segment by Type:
Cloud-based
On Premises
Segment by Application
SMEs
Large Enterprises
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 Data Scraping 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 Data Scraping 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 Data Scraping 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.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Market Overview
1.1 Data Scraping Software Product Introduction
1.2 Global Data Scraping Software Market Size Forecast
1.3 Data Scraping Software Market Trends & Drivers
1.3.1 Data Scraping Software Industry Trends
1.3.2 Data Scraping Software Market Drivers & Opportunity
1.3.3 Data Scraping Software Market Challenges
1.3.4 Data Scraping Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data Scraping Software Players Revenue Ranking (2023)
2.2 Global Data Scraping Software Revenue by Company (2019-2024)
2.3 Key Companies Data Scraping Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data Scraping Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Data Scraping Software
2.6 Data Scraping Software Market Competitive Analysis
2.6.1 Data Scraping Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data Scraping 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 Data Scraping Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud-based
3.1.2 On Premises
3.2 Global Data Scraping Software Sales Value by Type
3.2.1 Global Data Scraping Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data Scraping Software Sales Value, by Type (2019-2030)
3.2.3 Global Data Scraping Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 SMEs
4.1.2 Large Enterprises
4.2 Global Data Scraping Software Sales Value by Application
4.2.1 Global Data Scraping Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Data Scraping Software Sales Value, by Application (2019-2030)
4.2.3 Global Data Scraping Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Data Scraping Software Sales Value by Region
5.1.1 Global Data Scraping Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Data Scraping Software Sales Value by Region (2019-2024)
5.1.3 Global Data Scraping Software Sales Value by Region (2025-2030)
5.1.4 Global Data Scraping Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data Scraping Software Sales Value, 2019-2030
5.2.2 North America Data Scraping Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data Scraping Software Sales Value, 2019-2030
5.3.2 Europe Data Scraping Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data Scraping Software Sales Value, 2019-2030
5.4.2 Asia Pacific Data Scraping Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data Scraping Software Sales Value, 2019-2030
5.5.2 South America Data Scraping Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Scraping Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Data Scraping Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Scraping Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data Scraping Software Sales Value
6.3 United States
6.3.1 United States Data Scraping Software Sales Value, 2019-2030
6.3.2 United States Data Scraping Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data Scraping Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data Scraping Software Sales Value, 2019-2030
6.4.2 Europe Data Scraping Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data Scraping Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data Scraping Software Sales Value, 2019-2030
6.5.2 China Data Scraping Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data Scraping Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data Scraping Software Sales Value, 2019-2030
6.6.2 Japan Data Scraping Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data Scraping Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data Scraping Software Sales Value, 2019-2030
6.7.2 South Korea Data Scraping Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data Scraping Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data Scraping Software Sales Value, 2019-2030
6.8.2 Southeast Asia Data Scraping Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data Scraping Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data Scraping Software Sales Value, 2019-2030
6.9.2 India Data Scraping Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data Scraping Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 BrightData
7.1.1 BrightData Profile
7.1.2 BrightData Main Business
7.1.3 BrightData Data Scraping Software Products, Services and Solutions
7.1.4 BrightData Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.1.5 BrightData Recent Developments
7.2 Scrape.do
7.2.1 Scrape.do Profile
7.2.2 Scrape.do Main Business
7.2.3 Scrape.do Data Scraping Software Products, Services and Solutions
7.2.4 Scrape.do Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.2.5 Scrape.do Recent Developments
7.3 Scrapingdog
7.3.1 Scrapingdog Profile
7.3.2 Scrapingdog Main Business
7.3.3 Scrapingdog Data Scraping Software Products, Services and Solutions
7.3.4 Scrapingdog Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.3.5 AvesAPI Recent Developments
7.4 AvesAPI
7.4.1 AvesAPI Profile
7.4.2 AvesAPI Main Business
7.4.3 AvesAPI Data Scraping Software Products, Services and Solutions
7.4.4 AvesAPI Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.4.5 AvesAPI Recent Developments
7.5 ParseHub
7.5.1 ParseHub Profile
7.5.2 ParseHub Main Business
7.5.3 ParseHub Data Scraping Software Products, Services and Solutions
7.5.4 ParseHub Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.5.5 ParseHub Recent Developments
7.6 Diffbot
7.6.1 Diffbot Profile
7.6.2 Diffbot Main Business
7.6.3 Diffbot Data Scraping Software Products, Services and Solutions
7.6.4 Diffbot Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.6.5 Diffbot Recent Developments
7.7 Scrape-It.Cloud
7.7.1 Scrape-It.Cloud Profile
7.7.2 Scrape-It.Cloud Main Business
7.7.3 Scrape-It.Cloud Data Scraping Software Products, Services and Solutions
7.7.4 Scrape-It.Cloud Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.7.5 Scrape-It.Cloud Recent Developments
7.8 Octoparse
7.8.1 Octoparse Profile
7.8.2 Octoparse Main Business
7.8.3 Octoparse Data Scraping Software Products, Services and Solutions
7.8.4 Octoparse Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.8.5 Octoparse Recent Developments
7.9 ScrapingBee
7.9.1 ScrapingBee Profile
7.9.2 ScrapingBee Main Business
7.9.3 ScrapingBee Data Scraping Software Products, Services and Solutions
7.9.4 ScrapingBee Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.9.5 ScrapingBee Recent Developments
7.10 Grepsr
7.10.1 Grepsr Profile
7.10.2 Grepsr Main Business
7.10.3 Grepsr Data Scraping Software Products, Services and Solutions
7.10.4 Grepsr Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.10.5 Grepsr Recent Developments
7.11 Scraper API
7.11.1 Scraper API Profile
7.11.2 Scraper API Main Business
7.11.3 Scraper API Data Scraping Software Products, Services and Solutions
7.11.4 Scraper API Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.11.5 Scraper API Recent Developments
7.12 Scrapy
7.12.1 Scrapy Profile
7.12.2 Scrapy Main Business
7.12.3 Scrapy Data Scraping Software Products, Services and Solutions
7.12.4 Scrapy Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.12.5 Scrapy Recent Developments
7.13 Import.io
7.13.1 Import.io Profile
7.13.2 Import.io Main Business
7.13.3 Import.io Data Scraping Software Products, Services and Solutions
7.13.4 Import.io Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.13.5 Import.io Recent Developments
7.14 Apify
7.14.1 Apify Profile
7.14.2 Apify Main Business
7.14.3 Apify Data Scraping Software Products, Services and Solutions
7.14.4 Apify Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.14.5 Apify Recent Developments
7.15 Mozenda
7.15.1 Mozenda Profile
7.15.2 Mozenda Main Business
7.15.3 Mozenda Data Scraping Software Products, Services and Solutions
7.15.4 Mozenda Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.15.5 Mozenda Recent Developments
7.16 justLikeAPI
7.16.1 justLikeAPI Profile
7.16.2 justLikeAPI Main Business
7.16.3 justLikeAPI Data Scraping Software Products, Services and Solutions
7.16.4 justLikeAPI Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.16.5 justLikeAPI Recent Developments
7.17 SerpApi
7.17.1 SerpApi Profile
7.17.2 SerpApi Main Business
7.17.3 SerpApi Data Scraping Software Products, Services and Solutions
7.17.4 SerpApi Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.17.5 SerpApi Recent Developments
7.18 JobsPikr
7.18.1 JobsPikr Profile
7.18.2 JobsPikr Main Business
7.18.3 JobsPikr Data Scraping Software Products, Services and Solutions
7.18.4 JobsPikr Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.18.5 JobsPikr Recent Developments
7.19 TexAu
7.19.1 TexAu Profile
7.19.2 TexAu Main Business
7.19.3 TexAu Data Scraping Software Products, Services and Solutions
7.19.4 TexAu Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.19.5 TexAu Recent Developments
7.20 Zyte
7.20.1 Zyte Profile
7.20.2 Zyte Main Business
7.20.3 Zyte Data Scraping Software Products, Services and Solutions
7.20.4 Zyte Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.20.5 Zyte Recent Developments
7.21 NimbleWay
7.21.1 NimbleWay Profile
7.21.2 NimbleWay Main Business
7.21.3 NimbleWay Data Scraping Software Products, Services and Solutions
7.21.4 NimbleWay Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.21.5 NimbleWay Recent Developments
7.22 Smartproxy
7.22.1 Smartproxy Profile
7.22.2 Smartproxy Main Business
7.22.3 Smartproxy Data Scraping Software Products, Services and Solutions
7.22.4 Smartproxy Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.22.5 Smartproxy Recent Developments
7.23 Zenscrape
7.23.1 Zenscrape Profile
7.23.2 Zenscrape Main Business
7.23.3 Zenscrape Data Scraping Software Products, Services and Solutions
7.23.4 Zenscrape Data Scraping Software Revenue (US$ Million) & (2019-2024)
7.23.5 Zenscrape Recent Developments
8 Industry Chain Analysis
8.1 Data Scraping Software Industrial Chain
8.2 Data Scraping 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 Data Scraping Software Sales Model
8.5.2 Sales Channel
8.5.3 Data Scraping 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
BrightData
Scrape.do
Scrapingdog
AvesAPI
ParseHub
Diffbot
Scrape-It.Cloud
Octoparse
ScrapingBee
Grepsr
Scraper API
Scrapy
Import.io
Apify
Mozenda
justLikeAPI
SerpApi
JobsPikr
TexAu
Zyte
NimbleWay
Smartproxy
Zenscrape
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*If Applicable.
