Web Scraper Software Market Key Player, Advanced Technology, Applications and Business Opportunities till 2030


Market Research Future Insights

According to MRFR analysis, the global web scrapper software market size is expected to register a CAGR of 13.5% from 2022 to 2027 and hold a value of over  USD 1,085.9 million by 2027.


A web scraper software is a program or tool that automates the process of extracting data from websites. It works by sending requests to a website, parsing the HTML or XML code of the page, and then extracting the desired data based on specific rules or patterns. COVID-19 is a respiratory illness caused by the SARS-CoV-2 virus, which was first identified in December 2019 in Wuhan, China. It quickly spread around the world and was declared a global pandemic by the World Health Organization in March 2020. COVID-19 has had a significant impact on global health, economies, and societies, and has led to the development of many regional and national strategies to control its spread.

Key Players

Some of the top key market players are


  • UiPath (US)
  • io (US)
  • Mozenda Inc. (US)
  • Octopus Data Inc. (US)
  • ParseHub (Canada)


As of my knowledge cutoff in September 2021, the web scraper software market was experiencing steady growth and had several notable players. However, please note that market conditions may have changed since then. Here is an overview of the web scraper software market as of that time:

Leading Players:

ParseHub: ParseHub was one of the popular web scraping tools, known for its ease of use and ability to extract data from dynamic websites.

Octoparse: Octoparse gained popularity for its feature-rich platform and compatibility with various websites.

import.io: import.io provided a platform for data extraction, transformation, and analysis, catering to both individual users and enterprises.

Mozenda: Mozenda offered a web scraping solution with features like point-and-click interface, scheduled scraping, and data export options.

WebHarvy: WebHarvy focused on easy-to-use scraping for Windows users, supporting various data extraction needs.

Open-source Solutions:

Scrapy: Scrapy, an open-source Python framework, was widely used for web scraping due to its flexibility, scalability, and robustness.

BeautifulSoup: Although not a dedicated scraping tool, BeautifulSoup was popular among developers for parsing HTML and XML documents.

Emerging Players:

Apify: Apify provided a cloud-based platform for web scraping and automation, offering features like scheduling, data storage, and proxy rotation.

Diffbot: Diffbot offered a web scraping API and automatic extraction of structured data from websites.

Data Miner: Data Miner was a browser extension that enabled users to scrape data from websites using a visual interface.

Market Trends:

Increased demand for web scraping solutions: The growing need for data-driven decision-making and competitive intelligence drove the demand for web scraper software.

Focus on ease of use: Many software providers emphasized user-friendly interfaces and intuitive tools to attract non-technical users.

Advanced features: Software tools started incorporating advanced features like JavaScript rendering, AI-powered data extraction, and API integration to handle complex scraping scenarios.

Compliance and ethical considerations: With increased scrutiny on data privacy and web scraping ethics, some companies focused on providing tools that respected website terms of service and complied with legal requirements.

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Please note that the web scraper software market is dynamic, and new players may have emerged or existing players may have evolved since my knowledge cutoff. It’s advisable to conduct further research and refer to up-to-date sources for the most current market overview.