Global Data Scraping Software Market Growth (Status and Outlook) 2023-2029

Global Data Scraping Software Market Growth (Status and Outlook) 2023-2029

The global Data Scraping Software market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.

United States market for Data Scraping Software is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

China market for Data Scraping Software is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

Europe market for Data Scraping Software is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

Global key Data Scraping Software players cover BrightData, Scrape.do, Scrapingdog, AvesAPI, ParseHub, Diffbot, Scrape-It.Cloud, Octoparse and ScrapingBee, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2022.

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.

LPI (LP Information)' newest research report, the “Data Scraping Software Industry Forecast” looks at past sales and reviews total world Data Scraping Software sales in 2022, providing a comprehensive analysis by region and market sector of projected Data Scraping Software sales for 2023 through 2029. With Data Scraping Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Data Scraping Software industry.

This Insight Report provides a comprehensive analysis of the global Data Scraping Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Data Scraping Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Data Scraping Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Data Scraping Software and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Data Scraping Software.

This report presents a comprehensive overview, market shares, and growth opportunities of Data Scraping Software market by product type, application, key players and key regions and countries.

Market Segmentation:

Segmentation by type
Cloud-based
On Premises

Segmentation by application
SMEs
Large Enterprises

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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

Please note: The report will take approximately 2 business days to prepare and deliver.