Research Nester assesses the growth and market size of the global web scraping software market which is anticipated to be on account of the growth of e-commerce shopping.

Research Nester’s recent market research analysis on “Web Scraping Software Market: Global Demand Analysis & Opportunity Outlook 2035” delivers a detailed competitors analysis and a detailed overview of the global web scraping software market in terms of market segmentation by type, deployment mode, vertical, and by region.

Rise in the Use of Web Scraping Software by Real Estate Agents
The global web scraping software market is expected to grow on account of the rise in the use of web scraping software by real estate agents. Real estate firms frequently utilize web scraping to add listings that are either for sale or rent to their databases. As an illustration, a real estate brokerage might scrape MLS information to develop an API that updates this information on their website automatically. By doing this, the person who finds this advertisement on their website will be given the opportunity to act as the agent for the property.
The recruitment industry is undoubtedly one of the most active and rapidly expanding sectors of the economy. It is a significant player in the industry for data scraping. It is made up of job boards, HR consulting firms, and aggregators. Connecting the right organizations and businesses with the right pool of job seekers is one of this industry's most crucial jobs and concerns. To accurately match each of these people's skills and talents to the job descriptions and needs, there is only one promising method, and that is data. Due to the abundance of available jobs, job site operators are able to acquire significant insight into market dynamics and prospects.
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Some of the major growth factors and challenges that are associated with the growth of the global web scraping software market are:
Growth Drivers:
• Surge in the Use of Social-Media
• Rise in the Application of Web Scraping Software in the Healthcare Industry

Challenges:
The data that was acquired through web-scraping could require a lot of time and energy to process. This is a result of the data being presented as HTML code, which some individuals may find challenging to read and comprehend. This aspect is therefore anticipated to limit market expansion. Moreover, the crawlers may occasionally malfunction due to the frequent changes made to the HTML structures of websites. To keep the information-collecting pipelines clear and functional, it's necessary to perform some maintenance from time to time, regardless of whether one use web scraping tools or develop custom web scraping code.

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By vertical, the market for web scraping software is segmented into BFSI, retail & e-commerce, real estate, manufacturing, government, healthcare, and advertising & media. Out of these segments, retail & e-commerce segment is anticipated to garner the highest revenue by the end of 2035. However, the healthcare segment is also expected to grow. Healthcare workers employ web scraping to collect and evaluate data on patient records, academic research, market trends for medical equipment, costs for medications, and other topics. Healthcare practitioners can offer better care and cheaper treatments because of web scraping.
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By region, the Asia Pacific market for web scraping software is estimated to grow during the forecast timeline. Smartphone use is on the rise, and there are many people using social media, which might be linked to the market's expansion in this area. Additionally, the expanding e-commerce industry in this area has dominated the uptake of online scraping software. Additionally, due to the region's booming e-commerce, China's market is expanding at the highest rate in this area, followed by India.

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This report also provides the existing competitive scenario of some of the key players of the global web scraping software market which includes company profiling of The Phantom Company, Pilotfish, Inc., Mozenda Inc., Hangzhou Duosuan Technology Co. Ltd., Sysnucleus, Parsehub, Octopus Data Inc., Uipath, Newprosoft, Oxylabs, and others.

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