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Web scraping, also known as screen scrapping, web data extraction, web harvesting, is a technique used to extract large amount of data from websites which is then extracted and saved to local files in the user’s computer in the form of spreadsheets. Web scrapping is divided by three types, Brows extension such chrome extensions, external software such as Octoparse, external computer software provided by the U.S. based Octopus Data Inc. and many others.

Furthermore, data displayed by most of the websites can only be viewed with the help of browsers such as Google Chrome, Mozilla Firefox etc. Manually copy pasting is a tedious job which can take many hours to complete. Web scrapping software is used to automate this task and can be performed within fraction of time. Furthermore, web scrapping can be used in various applications such as data aggregation, market research and many others.

Factors driving growth of the global web scraping services market:

The increasing adoption of digital marketing solutions is expected to drive the growth of the global web scraping market over the forecast period. Digital marketing companies heavily rely on unstructured data on a daily basis. Increasing internet penetration in daily lives of people is driving the demand of digital marketing tools. This is expected to help the digital marketing grow exponentially over the forecast period. For instance, according to Coherent Market Insights analysis, digital marketing industry is expected to grow 26.37% annually in India, during the forecast period (2019-2027). Increasing demand for web scrapping software in digital marketing is expected to drive growth of the global web scraping services market over the forest period.

However, the increasing threat of software piracy is expected to hamper the growth of the global web scraping services market. According to a report published by the Global Software Survey, in 2018, 37% of software installed on personal computers was pirated.

Global Web Scraping Services Market: Regional Insights

On the basis of region, the global web scraping services market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. Moreover, North America held a major share in the global web scraping services market in 2018 owing to the presence of a large number of key players such as Phantombuster, PilotFish, Inc., Mozenda, Inc., and Diggernaut LLC. among others.

Moreover, Asia Pacific is expected to be the fastest growing region in the global web scraping services market. Rising growth of the Information Technology sector and service industry in the region, particularly in countries such as India and China, is expected to drive the growth of the global web scraping service market over the forecast period. For instance, in December 2019, as per data published by India Brand Equity Foundation (IBEF), the Indian IT industry generated revenue of US$ 177 billion in 2019 and it is expected to reach around US$ 350 billion by 2025 with CAGR 6.1%.

Key Players in the Global Web Scraping Services Market:

Key players operating in the market include Phantombuster, PilotFish Inc., Mozenda, Inc., Diggernaut, LLC., Datahut, Kuaiyi Technology, SysNucleus, Parseur B.V., Netherlands, Octopus Data Inc., Salestools.io, UiPath, and others.

Global Web Scraping Services Market: Taxonomy

On the basis of type, the global web scraping services market is segmented into:

  • Browser Extension
  • Installable Software
  • Cloud Based

On the basis of application, the global web scraping services market is segmented into:

  • Data Aggregation
  • Market Research
  • Customer Insight
  • Other

On the basis of region, the global web scraping services market is segmented into:

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East
  • Africa
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Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users